Auditable Kinesis and DynamoDB capacity and cost model

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Last calculated: 2026-08-22 (Asia/Dubai)

This is the quantitative control sheet for the Kinesis chapter and the later cross-service cost chapter. Formulas are region-independent. Mutable price inputs are isolated in one table and use eu-west-1. The examples are planning estimates, not invoices: inputs are distributions and rounded estimates, AWS billing has more dimensions, and a workload test must validate skew and consumer throughput.

The DynamoDB section appended below uses the same discipline: raw item/index sizes remain separate from API-specific rounding, transaction multipliers, and replica/index amplification. It does not change any Task 5 inputs or results.

The reliability section appended at the end uses planning inputs rather than AWS prices or guarantees. It keeps attempts, requests per second, seconds, records, and capacity shares dimensionally separate.

Unit discipline

• B = byte; KiB = 1,024 B; MiB = 1,048,576 B; GiB = 2^30 B.
• AWS capacity documentation uses MB/s for the sustained shard baselines. In this model, shard capacity math uses the documented decimal 1,000,000 B/s write and 2,000,000 B/s read limits. Do not silently substitute MiB/s.
• The current pricing page calls its billing unit GB but illustrates binary conversion. This model converts metered bytes using 2^30 B and labels the result modeled billing GB; confirm the calculator/invoice convention before a financial commitment.
• Raw bytes are the payload bytes carried by the workload. Billed bytes apply the service's record/payload-unit rounding. Base64 and Lambda event envelope expansion matter to Lambda's 6 MB synchronous invocation payload, not to the raw Kinesis record-size input.

Inference: the following documented capacity/record facts are the planning inputs below; they were retrieved 2026-08-22 from Kinesis quotas and large-record behavior (C15,C17,C71; A16,A95):

• one provisioned shard sustains up to 1 MB/s or 1,000 records/s writes and up to 2 MB/s reads;
• a stream defaults to a 1 MiB maximum record, can be configured up to 10 MiB where supported, and the 1–10 MiB feature is for intermittent burst records rather than sustained large-record ingestion;
• enhanced fan-out supplies a registered consumer up to 2 MB/s/shard of dedicated read throughput; standard consumers share the shard read capacity.

Variables

Symbol	Unit	Meaning
r_avg, r_peak	records/s	Average and design-peak producer rate. Use a percentile/window, not the maximum of one sample.
b_avg, b_p99	B/record	Raw average and tail payload sizes, including the Kinesis partition key where the API limit requires it.
f	count	Consumers that each read the full stream. Separate standard and enhanced-fan-out consumers.
k_skew	ratio >= 1	Hottest-shard rate divided by average shard rate under the proposed key. Derive from measurements; do not guess permanently.
u_target	ratio in (0,1)	Target maximum utilization after applying skew, leaving retry/recovery headroom.
S	shards	Open provisioned shards or the modeled shard-equivalent capacity.
w_shard	B/s	Sustained write byte capacity per shard (1,000,000).
n_shard	records/s	Sustained write record capacity per shard (1,000).
q_shard	B/s	Sustained read capacity per shard (2,000,000).
t_out	s	Consumer outage or producer-over-consumer interval.
mu	records/s	Sustainable consumer commit rate, including downstream writes and retries.
lambda	records/s	Arrival rate during recovery.
B0	records	Backlog at recovery start.
rho_retry	ratio	Additional producer or consumer work caused by retry/replay.
T	s	Billing interval; example month is 30 days = 2,592,000 s, while hourly inputs use 720 h.

Track rate and bytes independently. A stream can hit the record limit with tiny events or the byte limit with large ones.

Machine-readable worked-example inputs

The verifier parses this delimited block as the single calculation input source, recomputes every core output and sensitivity, and compares those results with the printed examples below. Change inputs here, then update the rendered explanation only after the verifier reports every affected value.

Model details · task5 model values

r_avg=5000
r_peak=8000
b_avg=700
k_skew=1.25
u_target=0.80
write_shard_Bps=1000000
write_shard_rps=1000
read_shard_Bps=2000000
full_stream_consumers=2
outage_seconds=900
recovery_mu=9000
recovery_slow_mu=6000
skew_sensitivity=1.50
double_peak_rps=16000
month_seconds=2592000
month_hours=720
od_in_price=0.091
od_out_price=0.045
od_stream_hour_price=0.045
provisioned_shard_hour_price=0.017
provisioned_million_put_price=0.0165
provisioned_efo_hour_price=0.017
provisioned_efo_read_price=0.0147
advantage_commitment_MiBps=25
advantage_in_price=0.0364
advantage_out_price=0.018

Portable capacity formulas

Write, shards, skew, and headroom

raw_write_Bps       = r * b_avg
byte_shards         = ceil(raw_write_Bps / w_shard)
record_shards       = ceil(r / n_shard)
base_shards         = max(byte_shards, record_shards)
planned_shards      = ceil(max(raw_write_Bps / w_shard,
                               r / n_shard) * k_skew / u_target)

effective_rps_capacity = planned_shards * n_shard * u_target / k_skew
effective_Bps_capacity = planned_shards * w_shard * u_target / k_skew
headroom_rps            = effective_rps_capacity - r_peak
headroom_ratio          = effective_rps_capacity / r_peak - 1

Inference: k_skew is a workload property, not a shard-count magic factor. More shards can reduce collisions among many keys, but cannot spread one partition key: that key still maps to one shard. If one_key_Bps > w_shard or one_key_rps > n_shard, change the ordering scope/key or accept serialization and shed/admit work; resharding alone cannot fix it (C75; A95,A97, retrieved 2026-08-22).

Read capacity

raw_read_Bps = raw_write_Bps * f

standard_shared_capacity_Bps = S * q_shard
standard_read_ok = sum(full_stream_standard_consumer_Bps)
                   <= standard_shared_capacity_Bps

efo_capacity_per_consumer_Bps = S * q_shard
efo_read_ok = each_consumer_Bps <= efo_capacity_per_consumer_Bps

These are source-read limits, not downstream commit rates. A Lambda concurrency limit, DynamoDB hot key, network call, schema poison record, or checkpoint policy can bind first.

Backlog growth, drain, and retention margin

backlog_growth_rps = max(0, lambda - mu)
backlog_after_t    = B0 + backlog_growth_rps * t

outage_backlog_records = lambda * t_out
outage_backlog_bytes   = outage_backlog_records * b_avg

if mu <= lambda: drain_time = infinite
if mu >  lambda: drain_time = B0 / (mu - lambda)

recovery_finish_age = t_out + drain_time
retention_margin    = configured_retention - recovery_finish_age

Run the calculation per consumer and, where skew matters, per key/shard. Add retry/replay amplification: effective_mu = measured_commits / (1 + rho_retry). Require retention margin for detection, deployment, operator decision, and a slower-than-modeled drain; “positive by seconds” is not an operable recovery plan.

Worked capacity example: execution feed

Illustrative assumptions, chosen for arithmetic clarity rather than as a claim about the reference repository:

Input	Value
Average rate	5,000 records/s
Design peak	8,000 records/s
Average raw payload	700 B
Measured skew factor	1.25 hottest/average
Target utilization	0.80
Full-stream consumers	2
Consumer outage	900 s
Measured recovery commit rate	9,000 records/s while live arrival remains 5,000 records/s

Calculation:

average raw write = 5,000 * 700 = 3,500,000 B/s = 3.5 MB/s
peak raw write    = 8,000 * 700 = 5,600,000 B/s = 5.6 MB/s

peak byte baseline   = ceil(5.6 / 1) = 6 shards
peak record baseline = ceil(8,000 / 1,000) = 8 shards
planned shards       = ceil(max(5.6, 8) * 1.25 / 0.80) = 13

effective record capacity = 13 * 1,000 * 0.80 / 1.25 = 8,320 records/s
modeled headroom above 8,000 peak = 320 records/s = 4%

That 4% is headroom after the modeled 20% utilization reserve and 1.25 skew factor; it is not permission to ignore a worse key distribution. Sensitivity: k_skew = 1.5 needs 15 shards at the same peak/utilization, while doubling peak to 16,000 records/s needs 25 shards. Always load-test the key distribution.

The two consumers together read 7.0 MB/s raw at average traffic. Thirteen shards expose 26 MB/s shared standard-read capacity in the ideal aggregate, but multiple standard consumers contend per shard. Enhanced fan-out gives each registered consumer its own per-shard pipe. Neither option proves the two sinks can commit 5,000 records/s.

Backlog:

outage backlog = 5,000 * 900 = 4,500,000 records
raw backlog    = 4,500,000 * 700 = 3.15 GB (decimal)
net drain rate = 9,000 - 5,000 = 4,000 records/s
ideal drain    = 4,500,000 / 4,000 = 1,125 s = 18.75 minutes
age at finish  = 15 + 18.75 = 33.75 minutes, before detection/deploy/retry margin

If recovery capacity falls to 5,000 records/s, drain time is infinite. If it is 6,000, ideal drain is 75 minutes. This sensitivity matters more than a single precise-looking estimate.

Billing formulas: raw bytes are not billed units

Current price semantics were retrieved 2026-08-22 from the Kinesis pricing page and eu-west-1 values from the dated AWS Price List offer snapshot, published 2026-08-13 (C49,C78; A46,A99).

On-demand Standard

billable_ingest_bytes_per_record = ceil(raw_record_bytes / 1,024) * 1,024
modeled_ingest_GB = records * billable_ingest_bytes_per_record / 2^30
modeled_read_GB   = records * raw_record_bytes * full_stream_reads / 2^30

cost = ingest_GB * P_od_in
     + standard_read_GB * P_od_out
     + efo_read_GB * P_od_efo_out
     + stream_hours * P_od_stream_hour
     + retention + transfer + consumer_compute + sinks + operations

Provisioned

put_units_per_record = ceil(raw_record_bytes / 25 KiB)
put_units             = records * put_units_per_record

cost = shard_hours * P_shard_hour
     + put_units / 1,000,000 * P_million_put_units
     + efo_consumer_shard_hours * P_efo_consumer_shard_hour
     + efo_read_GB * P_efo_read_GB
     + retention + transfer + consumer_compute + sinks + operations

PutRecords batching reduces HTTP/API calls; provisioned PUT billing still counts 25 KiB chunks per record. KPL aggregation can change how many Kinesis records are billed, but adds buffering/deaggregation and order compatibility constraints. Model the actual producer behavior, not just logical user-event count.

On-demand Advantage

account_billed_ingest_rate = max(actual_aggregate_rate, 25 MiB/s commitment)
account_billed_read_rate   = max(actual_aggregate_rate, 25 MiB/s commitment)

cost = committed_or_actual_ingest_GB * P_adv_in
     + committed_or_actual_read_GB * P_adv_out
     + retention + transfer + consumer_compute + sinks + operations

Advantage is an account-level regional decision across all on-demand streams, not a per-stream toggle. It removes the Standard fixed stream-hour and EFO price premium, supports warm throughput, and carries the current 25 MiB/s ingest plus 25 MiB/s retrieval commitment (C70; A95, retrieved 2026-08-22). AWS's pricing and developer pages use both MB/s and MiB/s typography; this model uses the developer guide's MiB/s wording and requires calculator confirmation before commitment.

Dated eu-west-1 price input table

Dimension	Input	Unit
On-demand Standard Data-In	$0.091	modeled billing GB
On-demand Standard standard Data-Out	$0.045	modeled billing GB
On-demand Standard EFO Data-Out	$0.057	modeled billing GB
On-demand Standard stream	$0.045	stream-hour
On-demand Advantage actual Data-In	$0.0364	modeled billing GB
On-demand Advantage ingestion shortfall	$0.0364	modeled billing GB
On-demand Advantage actual Data-Out	$0.018	modeled billing GB
On-demand Advantage retrieval shortfall	$0.018	modeled billing GB
Provisioned shard	$0.017	shard-hour
Provisioned PUT payload unit	$0.0165	million 25 KiB units
Provisioned EFO registration	$0.017	consumer-shard-hour
Provisioned EFO retrieval	$0.0147	modeled billing GB
Provisioned extended retention, 1–7 days	$0.023	extended shard-hour
Long-term retention storage beyond 7 days	$0.023	GB-month

The current Price List exposes separate actual-usage and shortfall operations for Advantage ingest and retrieval at the same respective rates. The verifier selects and asserts all four operations, not merely similarly named products; a later audit must refresh publication date and price dimensions.

Worked cost estimate for the execution feed

Assume 30 days (2,592,000 s, 720 h), 5,000 records/s, 700 B raw records, two full-stream consumers, one-day retention, same-Region transfer, and exclude Lambda/Flink, DynamoDB/OpenSearch/S3, CloudWatch, KMS, replay, support, and staff cost. Exclusions are material and printed to prevent false comparison.

raw volume          = 8,448.96 modeled GB/month
1 KiB-rounded input = 12,359.62 modeled GB/month
two raw reads       = 16,897.92 modeled GB/month

On-demand Standard:
  Data-In    = 12,359.62 * 0.091 = $1,124.73
  Data-Out   = 16,897.92 * 0.045 =   $760.41
  stream     = 720 * 0.045       =    $32.40
  unrounded subtotal                  = $1,917.53; report about $1,918/month

Provisioned, 13 shards, two EFO consumers:
  shard hours = 13 * 720 * 0.017              = $159.12
  PUT units   = 12.96B * 0.0165 / 1M          = $213.84
  EFO hours   = 13 * 2 * 720 * 0.017          = $318.24
  EFO reads   = 16,897.92 * 0.0147            = $248.40
  unrounded subtotal                            = $939.60; report about $940/month

This example suggests provisioned can be cheaper for this predictable shape; it does not establish a universal break-even. Standard GetRecords could remove EFO charges but changes contention/latency; KPL aggregation could change PUT units; on-demand has operational value; skew may require more shards; and all excluded downstream/operational costs can dominate. Report the comparison as roughly $1.9k versus $0.94k under printed assumptions, not cents.

At the current Advantage minimum, 25 MiB/s in and 25 MiB/s out for 30 days is 63,281.25 modeled GB in each direction before higher actual usage. At the dated rates, that is roughly $3.4k/month before retention/downstream costs. Therefore this one stream alone is below the commitment; aggregate all regional on-demand streams and EFO use before deciding.

Sensitivity and audit checklist

Recalculate at least these cases:

1. r_peak / 2, r_peak * 2, and a tenfold short burst;
2. k_skew = 1.0, measured value, and an incident value;
3. one consumer versus doubled fan-out, standard versus EFO;
4. 700 B versus 1,025 B to expose on-demand 1 KiB rounding;
5. aggregation off/on with its buffering and deaggregation constraints;
6. outage and drain with mu <= lambda, narrow positive margin, and target recovery headroom;
7. live plus replay load, including downstream writes and duplicate attempts;
8. retention that expires before detection + deploy + drain;
9. On-demand Standard versus account-level Advantage commitment versus provisioned shards;
10. Lambda/Flink, sinks, storage, logs/metrics, KMS, transfer/NAT, support, and engineering/on-call cost.

Before publication: re-download the offer file, assert Region/publication date, recompute every number independently, and round conclusions to the uncertainty of the workload assumptions.

DynamoDB capacity and amplification model

Last validated: 2026-08-22. The formulas are Region-independent. No DynamoDB price is multiplied here, so there is no hidden Region price input; a later price example must use a dated eu-west-1 offer and keep table, index, global replica, backup/export, Streams, transfer, KMS, and observability dimensions separate.

Current standard reads round evaluated data in 4 KiB units: strongly consistent reads use one unit per chunk, eventually consistent reads use one-half, and transactional reads use twice the strong amount. Standard writes round each item to 1 KiB. A transaction consumes two underlying operations for each base item it targets; indexes are not transaction targets, so asynchronously maintained GSI entries are added at ordinary index-write cost after commit. Query charges evaluated bytes before its filter, BatchGetItem rounds each item, and an update is based on the larger before/after item. (C82,C83; A100,A101,A104, retrieved 2026-08-22.)

Let ceil_q(x) = ceil(x/q). Then:

strong_read(x KiB)       = ceil_4(x)
eventual_read(x KiB)     = 0.5 * ceil_4(x)
transactional_read(x)    = 2 * ceil_4(x)
standard_write(x KiB)    = ceil_1(x)
transactional_base(x)    = 2 * ceil_1(x)
logical_transaction      = sum(transactional base targets) + sum(ordinary GSI entries)
moved_index_key          = base update + old index delete + new index put
sparse_index_enter       = one index put when indexed attributes appear
sparse_index_leave       = one index delete when indexed attributes disappear
sparse_index_key_move    = old index delete + new index put

The verifier owns these exact inputs and compares every printed result.

Model details · task6 capacity values

write_kib=1.2
index_kib=0.6
moved_old_kib=0.35
moved_new_kib=0.35
read_kib=10
query_items=40
query_item_bytes=600
query_returned=4
batch_a_kib=1.5
batch_b_kib=6.5
txn_order_kib=1.2
txn_idem_kib=0.7
txn_outbox_kib=1.6
txn_sentinel_present=1
txn_sentinel_kib=0.2
txn_gsi_count=3
txn_order_account_gsi_kib=0.45
txn_order_status_gsi_kib=0.35
txn_outbox_ready_gsi_kib=0.45
ap01_peak_s=2000
ap02_peak_s=1200
ap03_peak_s=400
ap04_peak_s=1500
ap05_peak_s=1000
ap06_peak_s=2000
ap07_peak_s=3000
ap08_peak_s=2000
ap09_peak_s=5000
ap10_peak_s=1500
ap11_peak_s=300
ap12_peak_s=2000
ap13_peak_s=5000
ap14_peak_s=20
ap15_peak_s=200
ap17_peak_s=2000
ap18_peak_s=100
ap06_requests_s=2000
ap06_pages_per_request=1
ap06_items_per_page=100
ap06_item_kib=0.4
ap06_top_symbol_share=0.08
partition_read_units_s=3000
target_partition_utilization=0.80
ap09_write_s=5000
ap09_receipt_kib=0.35
ap09_protected_state_kib=0.8
ap13_write_s=5000
ap13_checkpoint_kib=0.3
ap16_create_s=5000
ap16_claim_s=5100
ap16_complete_s=5000
ap16_retry_s=100
ap16_reschedule_s=20
ap16_ready_index_kib=0.45
partition_write_units_s=1000
ledger_max_postings_account_month=2000000
ledger_posting_kib=0.6
ledger_bucket_max_postings=250000
ledger_bucket_max_kib=150000

Worked results

Result ID	Calculation	Result
standard_write_units	ceil(1.2 / 1)	2
base_plus_index_units	ceil(1.2) + ceil(0.6)	3
moved_index_units	ceil(1.2) + ceil(0.35 old delete) + ceil(0.35 new put)	4
strong_read_units	ceil(10 / 4)	3
eventual_read_units	0.5 * ceil(10 / 4)	1.5
transactional_read_units	2 * ceil(10 / 4)	6
query_eventual_units	0.5 * ceil(24,000 / 4,096)	3
batch_eventual_units	0.5 * (ceil(1.5 / 4) + ceil(6.5 / 4))	1.5
accepted_order_v1_base_txn_units	2 * (ceil(1.2)+ceil(0.7)+ceil(1.6)+1*ceil(0.2))	12
accepted_order_v1_gsi_units	ceil(0.45)+ceil(0.35)+ceil(0.45)	3
accepted_order_v1_total_units	12 + 3	15
ap06_page_kib	1 * 100 * 0.4	40
ap06_eventual_rru_per_page	0.5 * ceil(40/4)	5
ap06_aggregate_rru_s	2,000 * 5	10000
ap06_top_symbol_rru_s	10,000 * 0.08	800
ap06_shards	ceil(800 / (3,000 * 0.80))	1
ap09_atomic_path_wru_per_event	2 * (ceil(0.35)+ceil(0.8))	4
ap09_receipt_wru_per_event	2 * ceil(0.35)	2
ap09_receipt_aggregate_wru_s	5,000 * 2	10000
ap09_receipt_shards	ceil(10,000 / (1,000 * 0.80))	13
ap09_receipt_per_shard_wru_s	10,000 / 13	769.23
ap09_receipt_headroom_percent	(800 - 769.2308) / 800 * 100	3.85
ap13_checkpoint_wru_per_event	ceil(0.3)	1
ap13_checkpoint_aggregate_wru_s	5,000 * 1	5000
ap13_checkpoint_shards	ceil(5,000 / (1,000 * 0.80))	7
ap13_checkpoint_per_shard_wru_s	5,000 / 7	714.29
ap13_checkpoint_headroom_percent	(800 - 714.2857) / 800 * 100	10.71
ap16_create_base_wru_s	5,000 * ceil(1.6) * 2	20000
ap16_claim_base_wru_s	5,100 * ceil(1.6)	10200
ap16_complete_base_wru_s	5,000 * ceil(1.6)	10000
ap16_retry_base_wru_s	100 * ceil(1.6)	200
ap16_reschedule_base_wru_s	20 * ceil(1.6)	40
ap16_base_total_wru_s	20,000+10,200+10,000+200+40	40440
ap16_ready_create_insert_wru_s	5,000 * ceil(0.45)	5000
ap16_ready_claim_delete_wru_s	5,100 * ceil(0.45)	5100
ap16_ready_retry_insert_wru_s	100 * ceil(0.45)	100
ap16_ready_reschedule_move_wru_s	20 * 2 * ceil(0.45)	40
ap16_no_retry_move_floor_index_wru_s	5,000 inserts + 5,000 deletes	10000
ap16_ready_index_wru_s	5,000+5,100+100+40	10240
ap16_ready_shards	ceil(10,240 / (1,000 * 0.80))	13
ap16_per_shard_wru_s	10,240 / 13	787.69
ap16_headroom_percent	(800 - 787.6923) / 800 * 100	1.54
ap16_total_lifecycle_wru_s	40,440+10,240	50680
ledger_month_kib	2,000,000 * 0.6	1200000
ledger_sub_buckets	max(ceil(2,000,000/250,000), ceil(1,200,000/150,000))	8
ledger_bucket_max_mib	150,000 / 1,024	146.48

Model details · task6 result

TASK6_RESULT|standard_write_units|2
TASK6_RESULT|base_plus_index_units|3
TASK6_RESULT|moved_index_units|4
TASK6_RESULT|strong_read_units|3
TASK6_RESULT|eventual_read_units|1.5
TASK6_RESULT|transactional_read_units|6
TASK6_RESULT|query_eventual_units|3
TASK6_RESULT|batch_eventual_units|1.5
TASK6_RESULT|accepted_order_v1_base_txn_units|12
TASK6_RESULT|accepted_order_v1_gsi_units|3
TASK6_RESULT|accepted_order_v1_total_units|15
TASK6_RESULT|ap06_page_kib|40
TASK6_RESULT|ap06_eventual_rru_per_page|5
TASK6_RESULT|ap06_aggregate_rru_s|10000
TASK6_RESULT|ap06_top_symbol_rru_s|800
TASK6_RESULT|ap06_shards|1
TASK6_RESULT|ap09_atomic_path_wru_per_event|4
TASK6_RESULT|ap09_receipt_wru_per_event|2
TASK6_RESULT|ap09_receipt_aggregate_wru_s|10000
TASK6_RESULT|ap09_receipt_shards|13
TASK6_RESULT|ap09_receipt_per_shard_wru_s|769.23
TASK6_RESULT|ap09_receipt_headroom_percent|3.85
TASK6_RESULT|ap13_checkpoint_wru_per_event|1
TASK6_RESULT|ap13_checkpoint_aggregate_wru_s|5000
TASK6_RESULT|ap13_checkpoint_shards|7
TASK6_RESULT|ap13_checkpoint_per_shard_wru_s|714.29
TASK6_RESULT|ap13_checkpoint_headroom_percent|10.71
TASK6_RESULT|ap16_create_base_wru_s|20000
TASK6_RESULT|ap16_claim_base_wru_s|10200
TASK6_RESULT|ap16_complete_base_wru_s|10000
TASK6_RESULT|ap16_retry_base_wru_s|200
TASK6_RESULT|ap16_reschedule_base_wru_s|40
TASK6_RESULT|ap16_base_total_wru_s|40440
TASK6_RESULT|ap16_ready_create_insert_wru_s|5000
TASK6_RESULT|ap16_ready_claim_delete_wru_s|5100
TASK6_RESULT|ap16_ready_retry_insert_wru_s|100
TASK6_RESULT|ap16_ready_reschedule_move_wru_s|40
TASK6_RESULT|ap16_no_retry_move_floor_index_wru_s|10000
TASK6_RESULT|ap16_ready_index_wru_s|10240
TASK6_RESULT|ap16_ready_shards|13
TASK6_RESULT|ap16_per_shard_wru_s|787.69
TASK6_RESULT|ap16_headroom_percent|1.54
TASK6_RESULT|ap16_total_lifecycle_wru_s|50680
TASK6_RESULT|ledger_month_kib|1200000
TASK6_RESULT|ledger_sub_buckets|8
TASK6_RESULT|ledger_bucket_max_mib|146.48

Interpretation and sensitivity

Inference: The named accepted_order_v1 variant targets four base items: order, idempotency result, outbox event, and AP17 sentinel. Their rounded units sum to six and the transaction's two operations make 12. After commit, the two order GSIs and AP16 READY GSI add three ordinary index units, for 15 total—not 2 × (base + indexes). Record ConsumedCapacity by AP/table/index and validate serialized sizes (C95; A100,A101,A104, retrieved 2026-08-22).

The Query returning only four rows still evaluates 24,000 bytes and consumes three eventual units. The BatchGet example is also 1.5 units, but for a different reason: each item rounds before summation. Mutation fixtures move every input across a billing bucket, proving the results are not hard-coded.

Inference: AP06 assumes one 100-item page/request and 0.4 KiB/index item. That is 40 KiB and five eventual read units/query: 10,000 units/s aggregate at 2,000 queries/s. An 8% top-symbol share is 800 units/s, so the formula selects one shard under a 2,400-unit/s target. These are planning assumptions, not measured traffic (C87; A22,A105, retrieved 2026-08-22; F24,F32,F33).

Inference: AP09 atomically targets one 0.35-KiB receipt and one 0.8-KiB protected-state item. Both round to one base write and the transaction multiplier makes four WRU/event total. Capacity placement is separate: the receipt lane alone is two WRU/event, so 5,000 events/s needs thirteen deterministic event-ID shards at the 800-WRU/s target (769.23/shard, 3.85% headroom). The protected state must bind to its own AP lane and measured key distribution; this receipt calculation cannot authorize it. AP13 uses one ordinary sub-1-KiB conditional write/event, so 5,000/s needs seven deterministic source-key shards (714.29/shard, 10.71% headroom). Both mappings are versioned for a drain/reconcile/cutover rather than changing N in place (C87,C90,C95; A20,A22,A100,A101,A105, retrieved 2026-08-22; F11,F24,F32,F33).

Inference: AP16's balanced steady planning lifecycle is 5,000 creates/s, 5,100 claims/s, 5,000 completions/s, 100 retries/s, and 20 READY-key reschedules/s. READY and IN_FLIGHT populations are therefore stable: claim = create+retry = complete+retry. Sub-1-KiB GSI work is 5,000 create inserts, 5,100 claim deletes, 100 retry inserts, and 20 delete+put moves = 10,240 units/s. The no-retry/no-move floor is 10,000. Thirteen shards yield 787.69 units/s/shard and 1.54% headroom below the 800 target. Base create/claim/ complete/retry/reschedule work is respectively 20,000/10,200/10,000/200/40, or 40,440 units/s; full lifecycle work is 50,680 units/s. These are planning assumptions, not measured traffic (C87,C95; A100,A104,A105, retrieved 2026-08-22).

Inference: AP10/AP11 admit at most 2,000,000 postings/account/month at 0.6 KiB each (1,200,000 KiB). A deterministic sequence-range sub-bucket rolls at 250,000 postings or 150,000 KiB, whichever comes first; the example therefore requires eight buckets with a 146.48 MiB byte ceiling. Reject/escalate beyond the monthly cap instead of silently growing one key (C87,C95; A100,A104,A105, retrieved 2026-08-22).

Inference: For MREC with r replica Regions, separately model the applicable replicated write units for each replica and TTL replicated deletes. Do not multiply a local transactional assumption into MRSC: current MRSC tables do not support transaction APIs (C85,C89; A107, retrieved 2026-08-22).

CQRS break-even model

Last validated: 2026-08-22. This reusable model deliberately uses modeled cost units (CU) rather than mutable AWS prices. One CU must represent the same fully loaded economic unit on both sides of the equation. Task 10 can replace each coefficient with dated eu-west-1 service, storage, and labor prices while preserving the dimensional formula (C49,C102; F19,F20).

Reads and writes are measured in millions of logical operations per month. Variable coefficients are CU per million reads or writes; fixed burden is CU per month. Transport, projection/index writes, storage, replay/rebuild, reconciliation, and fixed engineering/on-call burden remain separate so no free projection is smuggled into the ratio.

Model details · task7 cqrs values

writes_million=10
reads_million=85
read_work_avoided_cu_per_million=1.8
transport_cu_per_million_writes=0.2
projection_write_cu_per_million_writes=0.5
storage_cu_per_million_writes=0.1
replay_rebuild_cu_per_million_writes=0.08
reconciliation_cu_per_million_writes=0.12
fixed_operational_cu_per_month=18
low_volume_writes_million=1
high_volume_writes_million=100
half_read_benefit_factor=0.5
double_projection_write_factor=2
double_storage_factor=2

The next table is the only reader-visible derivation surface in this document. The verifier derives every row from the canonical block, including the symbolic equations, all fourteen visible inputs, the base calculation, and every sensitivity. W and R are millions of writes and reads/month; a is avoided CU/million reads; v is total variable CU/million writes; F is CU/month.

Kind	Key	Visible value or equation	Unit
INPUT	writes_million	10	million writes/month
INPUT	reads_million	85	million reads/month
INPUT	read_work_avoided_cu_per_million	1.80	CU/million reads
INPUT	transport_cu_per_million_writes	0.20	CU/million writes
INPUT	projection_write_cu_per_million_writes	0.50	CU/million writes
INPUT	storage_cu_per_million_writes	0.10	CU/million writes
INPUT	replay_rebuild_cu_per_million_writes	0.08	CU/million writes
INPUT	reconciliation_cu_per_million_writes	0.12	CU/million writes
INPUT	fixed_operational_cu_per_month	18	CU/month
INPUT	low_volume_writes_million	1	million writes/month
INPUT	high_volume_writes_million	100	million writes/month
INPUT	half_read_benefit_factor	0.50	ratio
INPUT	double_projection_write_factor	2	ratio
INPUT	double_storage_factor	2	ratio
FORMULA	monthly_net	R * a - W * v - F	CU/month
FORMULA	break_even_ratio	R/W = (v + F/W) / a	reads/write
DERIVATION	variable_cost_per_million_writes	0.20 + 0.50 + 0.10 + 0.08 + 0.12 = 1.00	CU/million writes
DERIVATION	read_work_avoided	85 * 1.80 = 153.00	CU/month
DERIVATION	variable_projection_cost	10 * 1.00 = 10.00	CU/month
DERIVATION	fixed_operational_cost	18.00	CU/month
DERIVATION	net_benefit	153.00 - 10.00 - 18.00 = 125.00	CU/month
DERIVATION	break_even	(1.00 + 18.00 / 10) / 1.80 = 1.56	reads/write
DERIVATION	low_volume_sensitivity	(1.00 + 18.00 / 1) / 1.80 = 10.56	reads/write
DERIVATION	high_volume_sensitivity	(1.00 + 18.00 / 100) / 1.80 = 0.66	reads/write
DERIVATION	half_read_benefit_sensitivity	(1.00 + 18.00 / 10) / (1.80 * 0.50) = 3.11	reads/write
DERIVATION	double_projection_storage_sensitivity	0.20 + 0.50 * 2 + 0.10 * 2 + 0.08 + 0.12 = 1.60; (1.60 + 18.00 / 10) / 1.80 = 1.89	reads/write

This is an architectural comparison, not an AWS invoice.

Metric	Unit	Result
read_work_avoided_cu_month	CU/month	153.0
variable_projection_cu_month	CU/month	10.0
fixed_operational_cu_month	CU/month	18.0
net_benefit_cu_month	CU/month	125.0
break_even_reads_per_write	reads/write	1.56
low_volume_reads_per_write	reads/write	10.56
high_volume_reads_per_write	reads/write	0.66
half_benefit_reads_per_write	reads/write	3.11
double_projection_reads_per_write	reads/write	1.89

Model details · task7 result

TASK7_RESULT|read_work_avoided_cu_month|153.0
TASK7_RESULT|variable_projection_cu_month|10.0
TASK7_RESULT|fixed_operational_cu_month|18.0
TASK7_RESULT|net_benefit_cu_month|125.0
TASK7_RESULT|break_even_reads_per_write|1.56
TASK7_RESULT|low_volume_reads_per_write|10.56
TASK7_RESULT|high_volume_reads_per_write|0.66
TASK7_RESULT|half_benefit_reads_per_write|3.11
TASK7_RESULT|double_projection_reads_per_write|1.89

Inference: the validated sensitivity rows expose fixed-cost dilution, reduced read benefit, and added fan-out. Crossing a numeric threshold is necessary but not sufficient: the projection still needs an SLO, safe overload policy, ownership, rebuild test, reconciliation, and acceptable residual risk (C44,C48,C102; F13,F14,F19,F20).

Reliability recovery planning model

These values are illustrative workload inputs, not AWS service limits, prices, or promises. recovery_capacity_rps means measured end-to-end committed work, not broker reads. safety_reservation_rps is deliberately unused capacity for variance and incident control. Stability requires recovery_capacity_rps > live_arrival_rps + safety_reservation_rps; the redrive limiter can reduce the remaining rate further.

The input domain requires recovery_capacity_rps > 0 records/s; zero or negative total capacity is rejected before any capacity-share division, while zero-spare and negative-spare fixtures retain positive total capacity.

Model details · task8 recovery values

retry_layers=3
attempts_per_layer=3
sensitivity_attempts_per_layer=4
arrival_rps=200
service_time_seconds=0.12
headroom_ratio=1.5
slow_service_multiplier=2
backlog_records=900000
recovery_capacity_rps=800
live_arrival_rps=500
safety_reservation_rps=100
replay_rate_cap_rps=200

Model details · task8 cost results

TASK8_RESULT|nested_retry_worst_case_attempts|27.0
TASK8_RESULT|nested_retry_sensitivity_attempts|64.0
TASK8_RESULT|base_concurrency|24.0
TASK8_RESULT|planned_concurrency|36
TASK8_RESULT|slow_dependency_planned_concurrency|72
TASK8_RESULT|raw_spare_rps|200.0
TASK8_RESULT|effective_redrive_rps|200.0
TASK8_RESULT|recovery_status|POSITIVE_DRAIN
TASK8_RESULT|backlog_growth_rps|0
TASK8_RESULT|backlog_drain_seconds|4500.0
TASK8_RESULT|backlog_drain_minutes|75.0
TASK8_RESULT|recovery_action|bounded replay
TASK8_RESULT|live_capacity_percent|62.5
TASK8_RESULT|replay_capacity_percent|25.0
TASK8_RESULT|safety_capacity_percent|12.5

Kind	Name	Value or equation	Unit
INPUT	retry_layers	3	ratio/count
INPUT	attempts_per_layer	3	ratio/count
INPUT	sensitivity_attempts_per_layer	4	ratio/count
INPUT	arrival_rps	200	records/s
INPUT	service_time_seconds	0.12	s
INPUT	headroom_ratio	1.50	ratio/count
INPUT	slow_service_multiplier	2	ratio/count
INPUT	backlog_records	900000	records
INPUT	recovery_capacity_rps	800	records/s
INPUT	live_arrival_rps	500	records/s
INPUT	safety_reservation_rps	100	records/s
INPUT	replay_rate_cap_rps	200	records/s
FORMULA	nested_retry	attempts_per_layer ^ retry_layers	attempts
FORMULA	concurrency	ceil(arrival_rps * service_time_seconds * headroom_ratio)	concurrent requests
FORMULA	raw_spare	recovery_capacity_rps - live_arrival_rps - safety_reservation_rps	records/s
FORMULA	effective_replay	max(0, min(replay_rate_cap_rps, raw_spare_rps))	records/s
FORMULA	drain_time	if effective_redrive_rps > 0 then backlog_records / effective_redrive_rps else infinite	s
FORMULA	negative_branch	if raw_spare_rps < 0 then backlog_growth_rps = -raw_spare_rps	records/s
RESULT	nested_retry_worst_case_attempts	27	attempts
RESULT	nested_retry_sensitivity_attempts	64	attempts
RESULT	base_concurrency	24	concurrent requests
RESULT	planned_concurrency	36	concurrent requests
RESULT	slow_dependency_planned_concurrency	72	concurrent requests
RESULT	raw_spare_rps	200	records/s
RESULT	effective_redrive_rps	200	records/s
RESULT	recovery_status	POSITIVE_DRAIN	state
RESULT	backlog_growth_rps	0	records/s
RESULT	backlog_drain_seconds	4500	s
RESULT	backlog_drain_minutes	75	min
RESULT	recovery_action	bounded replay	action
RESULT	live_capacity_percent	62.50	%
RESULT	replay_capacity_percent	25	%
RESULT	safety_capacity_percent	12.50	%

Interpretation: ceil(arrival rate × service time × headroom) gives 36 planned concurrent requests and 72 at the 2x slowdown. Raw spare is mu - lambda - reserve; effective replay is max(0, min(cap, raw_spare)). Positive spare can drain, zero spare means no drain and infinite drain time, and negative spare means backlog growth at the deficit rate plus admission reduction or capacity restoration. The positive example drains 900,000 records in 4,500 seconds or 75 minutes. Detection, deployment, skew, retries, and reconciliation margin must be added before setting retention.

Trading architecture selection envelopes

These Task 9 values are illustrative planning assumptions, not AWS prices, quotas, service promises, or measured production facts. They expose the ratios that would falsify each architecture choice without duplicating Task 10's dated regional price analysis. Before selection, measure request and event-rate distributions, serialized payloads, key skew, end-to-end committed throughput, tail latency, dependency slowdowns, rebuild time, reconciliation breaks, and the engineering/on-call/compliance hours needed to own each variant (C112; F19,F20).

Model details · task9 model values

a_commands_peak_rps=1000
a_reads_peak_rps=50000
a_low_reads_peak_rps=12000
a_authoritative_writes_per_command=4
a_projection_writes_per_command=4
a_projection_write_migration_trigger=6
b_average_events_rps=5000
b_peak_events_rps=8000
b_payload_bytes=700
b_fanout_consumers=3
b_top_symbol_share=0.12
b_hot_share_sensitivity=0.15
b_single_lane_capacity_rps=1000
b_recovery_capacity_rps=12000
b_live_allocation_rps=8000
b_safety_reservation_rps=1000
b_replay_cap_rps=3000
b_backlog_records=4500000
b_zero_spare_capacity_rps=9000
c_total_arrival_rps=24000
c_match_partitions=8
c_service_time_us=180
c_top_symbol_share=0.20
c_hot_share_sensitivity=0.24
c_service_time_sensitivity_us=220
c_hot_dedicated_partition=1
c_hot_partition_other_live_rps=0
c_hot_safety_reservation_rps=300
c_hot_replay_cap_rps=400
c_hot_backlog_commands=240000
c_hot_zero_capacity_rps=5100
c_burst_arrival_rps=6200
c_burst_duration_seconds=2

The same complete table is rendered in the Task 9 chapter. All formula rows, inputs, base results, and sensitivities are validated against the block above.

Kind	Key	Value or equation	Unit
INPUT	a_commands_peak_rps	1000	commands/s
INPUT	a_reads_peak_rps	50000	reads/s
INPUT	a_low_reads_peak_rps	12000	reads/s
INPUT	a_authoritative_writes_per_command	4	writes/command
INPUT	a_projection_writes_per_command	4	writes/command
INPUT	a_projection_write_migration_trigger	6	writes/command
INPUT	b_average_events_rps	5000	events/s
INPUT	b_peak_events_rps	8000	events/s
INPUT	b_payload_bytes	700	B/event
INPUT	b_fanout_consumers	3	consumers
INPUT	b_top_symbol_share	0.12	ratio
INPUT	b_hot_share_sensitivity	0.15	ratio
INPUT	b_single_lane_capacity_rps	1000	events/s
INPUT	b_recovery_capacity_rps	12000	committed events/s
INPUT	b_live_allocation_rps	8000	events/s
INPUT	b_safety_reservation_rps	1000	events/s
INPUT	b_replay_cap_rps	3000	events/s
INPUT	b_backlog_records	4500000	events
INPUT	b_zero_spare_capacity_rps	9000	committed events/s
INPUT	c_total_arrival_rps	24000	commands/s
INPUT	c_match_partitions	8	partitions
INPUT	c_service_time_us	180	us/command
INPUT	c_top_symbol_share	0.20	ratio
INPUT	c_hot_share_sensitivity	0.24	ratio
INPUT	c_service_time_sensitivity_us	220	us/command
INPUT	c_hot_dedicated_partition	1	boolean 1=yes
INPUT	c_hot_partition_other_live_rps	0	commands/s
INPUT	c_hot_safety_reservation_rps	300	commands/s
INPUT	c_hot_replay_cap_rps	400	commands/s
INPUT	c_hot_backlog_commands	240000	commands
INPUT	c_hot_zero_capacity_rps	5100	commands/s
INPUT	c_burst_arrival_rps	6200	commands/s
INPUT	c_burst_duration_seconds	2	s
FORMULA	a_read_write_ratio	a_reads_peak_rps / a_commands_peak_rps	reads/command
FORMULA	a_total_write_amplification	a_authoritative_writes_per_command + a_projection_writes_per_command	writes/command
FORMULA	b_raw_bytes_per_second	events_rps * b_payload_bytes	B/s
FORMULA	b_fanout_bytes_per_second	raw_bytes_per_second * b_fanout_consumers	B/s
FORMULA	b_hot_symbol_rate	events_rps * symbol_share	events/s
FORMULA	b_replay_rate	max(0,min(replay_cap,recovery-live-safety))	events/s
FORMULA	b_drain_time	backlog / replay_rate; infinite when replay_rate <= 0	s
FORMULA	c_partition_arrival	c_total_arrival_rps / c_match_partitions	commands/s/partition
FORMULA	c_utilization	arrival_rps * service_time_us / 1000000	ratio
FORMULA	c_hottest_symbol_utilization	c_total_arrival_rps * share * service_time_us / 1000000	ratio
FORMULA	c_hot_partition_live	hottest_symbol_rps + other_live_rps	commands/s
FORMULA	c_hot_arithmetic_spare	service_capacity - hot_partition_live	commands/s
FORMULA	c_hot_replay_rate	max(0,min(replay_cap,service_capacity-hot_live-safety))	commands/s
FORMULA	c_hot_drain_time	hot_backlog / hot_replay_rate; infinite when replay_rate <= 0	s
FORMULA	c_burst_queue_growth	max(0,burst_arrival-service_capacity) * burst_duration	commands
RESULT	a_read_write_ratio	50.00	reads/command
RESULT	a_low_read_write_ratio	12.00	reads/command
RESULT	a_projection_write_amplification	4	writes/command
RESULT	a_total_write_amplification	8	writes/command
RESULT	a_migration_trigger	REASSESS_AT_6_PROJECTION_WRITES	state
RESULT	b_average_raw_Bps	3500000	B/s
RESULT	b_peak_raw_Bps	5600000	B/s
RESULT	b_average_fanout_Bps	10500000	B/s
RESULT	b_peak_fanout_Bps	16800000	B/s
RESULT	b_top_symbol_average_rps	600	events/s
RESULT	b_top_symbol_peak_rps	960	events/s
RESULT	b_hot_sensitivity_peak_rps	1200	events/s
RESULT	b_hot_sensitivity_state	OVER_SINGLE_LANE	state
RESULT	b_live_capacity_percent	66.67	%
RESULT	b_replay_capacity_percent	25.00	%
RESULT	b_safety_capacity_percent	8.33	%
RESULT	b_replay_rate_rps	3000	events/s
RESULT	b_backlog_drain_seconds	1500.00	s
RESULT	b_backlog_drain_minutes	25.00	min
RESULT	b_zero_spare_state	NO_SAFE_DRAIN	state
RESULT	c_partition_arrival_rps	3000.00	commands/s/partition
RESULT	c_partition_service_capacity_rps	5555.56	commands/s/partition
RESULT	c_partition_utilization	0.5400	ratio
RESULT	c_partition_headroom_percent	46.00	%
RESULT	c_hottest_symbol_rps	4800	commands/s
RESULT	c_hottest_symbol_utilization	0.8640	ratio
RESULT	c_hot_share_sensitivity_rps	5760	commands/s
RESULT	c_hot_share_sensitivity_utilization	1.0368	ratio
RESULT	c_service_time_sensitivity_utilization	1.0560	ratio
RESULT	c_hottest_sensitivity_state	OVER_CAPACITY	state
RESULT	c_hot_partition_assignment	DEDICATED_HOT_BOOK	state
RESULT	c_hot_partition_other_live_rps	0	commands/s
RESULT	c_hot_partition_live_rps	4800	commands/s
RESULT	c_hot_arithmetic_spare_rps	755.56	commands/s
RESULT	c_hot_partition_headroom_percent	13.60	%
RESULT	c_hot_safety_reservation_rps	300	commands/s
RESULT	c_hot_effective_replay_rps	400	commands/s
RESULT	c_hot_backlog_drain_seconds	600.00	s
RESULT	c_hot_backlog_drain_minutes	10.00	min
RESULT	c_hot_zero_spare_state	NO_SAFE_DRAIN	state
RESULT	c_burst_excess_rps	644.44	commands/s
RESULT	c_burst_queue_growth_commands	1288.89	commands
RESULT	c_tail_service_capacity_rps	4545.45	commands/s
RESULT	c_p99_latency_state	UNVALIDATED_LOAD_TEST_REQUIRED	state

Interpretation by variant:

• Variant A: the base planning point has 50 reads per command, four deliberate projection writes, and eight total logical writes. Task 10's dated model puts ARCA's 50 reads/command below its 75.462912 reads/write cost break-even and at -$887.203238/month; choose ARCA only when the measured 95 ms p99 read-latency gain, 2-second freshness, and command/read isolation justify that cost. The lower-read sensitivity is 12 reads/command. Reassess when measured read work avoided no longer covers variable projection/storage/rebuild work and fixed ownership, or when projection fan-out reaches six writes/command.
• Variant B: raw traffic is 3,500,000 B/s average and 5,600,000 B/s peak; three full consumers turn that into 10,500,000 and 16,800,000 downstream B/s before protocol/storage amplification. A 12% top symbol reaches 960 events/s at peak against the 1,000-event/s planning lane; 15% reaches 1,200 and forces admission, a different source-order/merge design, or a new substrate. Of 12,000 committed events/s, the model reserves 66.67% live, 25% replay, and 8.33% safety; 4,500,000 events drain in 1,500 seconds (25 minutes). At 9,000 total capacity, live plus safety leaves no safe drain.
• Variant C: the average across eight partitions is 3,000 commands/s, 0.54 utilization, and 46% arithmetic headroom at 180 us, but it is not an admission or latency proof. The 20% hottest book has a dedicated partition, so its 4,800/s includes 0/s co-located book traffic; utilization is 0.864, arithmetic spare is 755.56/s, and headroom is 13.60%. After a 300/s hot-book safety reserve, effective replay is capped at 400/s; 240,000 commands drain in 600.00 seconds (10.00 minutes). A 5,100/s zero-capacity case leaves no safe hot-book replay. A 6,200/s burst for 2 seconds exceeds nominal service capacity by 644.44/s and grows the queue by 1,288.89 commands before retries or downstream delay. A 24% hot share reaches 5,760/s and 1.0368 utilization; a 220 us service-time tail gives 4,545.45/s capacity and 1.0560 utilization. The sub-1-ms p99 is therefore an unvalidated scenario target until measured burst, tail, queue, journal, and replay load tests prove it. Admission, migration, and replay use this hottest-partition envelope, never aggregate spare on unrelated books.

Variable drivers are service requests, bytes, fan-out, writes/indexes, compute, storage/retention, transfer, replay, evidence, and reconciliation. Fixed burden is architecture design, exchange/FIX certification, schema and policy ownership, security review, on-call, game days, compliance evidence, and trained operations. The model chooses neither service nor price; Task 10 will attach dated eu-west-1 prices.

Task 10 dated cross-service cost, performance, and capacity model

Last validated: 2026-08-22. This extension preserves every Task 5–9 block and uses one new closed model copied byte-for-byte into the reader chapter. Portable formulas are separate from mutable prices. B and KiB retain the definitions above; price-list GB is modeled as 2^30 B, the month is 2,592,000 seconds / 720 hours, and every multiplication retains its dimension.

All workload, FTE/salary, on-call, compliance, expected-loss, cache-hit, compression, skew, utilization, and retention values are illustrative planning assumptions. Free tier, progressive tiers above the declared first tier, tax, support, credits, and commitments/Savings Plans are excluded symmetrically. Each PRICE row records service, SKU, usage type, operation, unit, tier boundary, publication, region, currency, retrieval date, and route (C49,C113,C116; A99,A123–A127, retrieved 2026-08-22; F19,F20).

Expected correctness/availability loss is a scenario input, never permission to violate an invariant or mandatory control.

Model details · task10 canonical

# official AWS prices retrieved 2026-08-22
META|task10-v1|eu-west-1|USD|2026-08-22|2592000s_720h|1GB=2^30B
PRICE|lambda_request_usd|AWSLambda|B5V2RNHAWGVJBZD3|EU-Request|none|Request|0|Inf|0.0000002000|2026-08-19T22:47:03Z|retrieved_2026-08-22|A123
PRICE|lambda_gb_second_usd|AWSLambda|SGGKTWDV7PGMPPSJ|EU-Lambda-GB-Second|none|Lambda-GB-Second|0|6000000000|0.0000166667|2026-08-19T22:47:03Z|retrieved_2026-08-22|A123
PRICE|fargate_vcpu_hour_usd|AmazonECS|K4EXFQ5YFQCP98EN|EU-Fargate-vCPU-Hours:perCPU|none|hours|0|Inf|0.0404800000|2026-07-07T16:06:51Z|retrieved_2026-08-22|A124
PRICE|fargate_gb_hour_usd|AmazonECS|UP5ETC3QSW2QZGEY|EU-Fargate-GB-Hours|none|hours|0|Inf|0.0044450000|2026-07-07T16:06:51Z|retrieved_2026-08-22|A124
PRICE|ddb_wru_usd|AmazonDynamoDB|F4EZE5SAMS3D49NJ|EU-WriteRequestUnits|PayPerRequestThroughput|WriteRequestUnits|0|Inf|0.0000007050|2026-08-15T03:52:56Z|retrieved_2026-08-22|A125
PRICE|ddb_replicated_wru_usd|AmazonDynamoDB|Y8RETJA3NHS97536|EU-ReplWriteRequestUnits|PayPerRequestThroughput|ReplicatedWriteRequestUnits|0|Inf|0.0000007050|2026-08-15T03:52:56Z|retrieved_2026-08-22|A125
PRICE|ddb_rru_usd|AmazonDynamoDB|3ERQSZWPAMX2JWHN|EU-ReadRequestUnits|PayPerRequestThroughput|ReadRequestUnits|0|Inf|0.0000001415|2026-08-15T03:52:56Z|retrieved_2026-08-22|A125
PRICE|kinesis_shard_hour_usd|AmazonKinesis|C8T9ZXPQRX6FS23J|EU-Storage-ShardHour|shardHourStorage|ShardHour|0|Inf|0.0170000000|2026-08-13T19:39:54Z|retrieved_2026-08-22|A99
PRICE|kinesis_put_payload_unit_usd|AmazonKinesis|XE5NBZYRTSWZZ8J7|EU-PutRequestPayloadUnits|PutRequest|PutRequest|0|Inf|0.0000000165|2026-08-13T19:39:54Z|retrieved_2026-08-22|A99
PRICE|kinesis_efo_consumer_shard_hour_usd|AmazonKinesis|HUJ72XPTKF8QXV6H|EU-EnhancedFanoutHour|ConsumerHour|ConsumerShardHour|0|Inf|0.0170000000|2026-08-13T19:39:54Z|retrieved_2026-08-22|A99
PRICE|kinesis_efo_gb_usd|AmazonKinesis|W6ZVCP635EBGH7N7|EU-ReadBytes|EnhancedFanoutDataRetrieval|GB|0|Inf|0.0147000000|2026-08-13T19:39:54Z|retrieved_2026-08-22|A99
PRICE|s3_standard_gb_month_usd|AmazonS3|4AJHPB29ZPVFADXP|EU-TimedStorage-ByteHrs|none|GB-Mo|0|51200|0.0230000000|2026-08-18T18:11:13Z|retrieved_2026-08-22|A126
PRICE|s3_restore_request_usd|AmazonS3|ETABQUNVVQGWUQN4|EU-Requests-Tier3|RestoreObject|Requests|0|Inf|0.0000550000|2026-08-18T18:11:13Z|retrieved_2026-08-22|A126
PRICE|s3_get_request_usd|AmazonS3|ZCQD4CM637S7D8U5|EU-Requests-Tier2|none|Requests|0|Inf|0.0000004000|2026-08-18T18:11:13Z|retrieved_2026-08-22|A126
PRICE|s3_restore_retrieval_gb_usd|AmazonS3|G6YZ6EAX5498CAQ2|EU-Standard-Retrieval-Bytes|RestoreObject|GB|0|Inf|0.0100000000|2026-08-18T18:11:13Z|retrieved_2026-08-22|A126
SETTING|region|eu-west-1|region
SETTING|currency|USD|currency
SETTING|retrieval_date|2026-08-22|date
SETTING|lambda_architecture|x86_64|architecture
SETTING|kinesis_capacity_mode|provisioned|mode
SETTING|kinesis_read_mode|EFO|mode
SETTING|replay_expired_post_reingest_read_mode|EFO|mode
SETTING|ddb_capacity_mode|on_demand|mode
SETTING|ddb_read_consistency|eventual|setting
SETTING|free_tier_tiering_commitments|excluded_symmetrically|policy
LANE|order|ddb_txn_order_kib|ddb_order_hot_share|base|transactional
LANE|idempotency|ddb_txn_idempotency_kib|ddb_idempotency_hot_share|base|transactional
LANE|outbox|ddb_txn_outbox_kib|ddb_outbox_hot_share|base|transactional
LANE|sentinel|ddb_txn_sentinel_kib|ddb_sentinel_hot_share|base|transactional
LANE|order_account_gsi|ddb_order_account_gsi_kib|ddb_order_account_gsi_hot_share|gsi|ordinary
LANE|order_status_gsi|ddb_order_status_gsi_kib|ddb_order_status_gsi_hot_share|gsi|ordinary
LANE|outbox_ready_gsi|ddb_outbox_ready_gsi_kib|ddb_outbox_ready_gsi_hot_share|gsi|ordinary
INPUT|month_seconds|2592000|s/month
INPUT|month_hours|720|h/month
INPUT|avg_orders_rps|100|requests/s
INPUT|peak_orders_rps|400|requests/s
INPUT|active_duty_cycle|0.25|ratio
INPUT|accept_rate|0.95|accepted/orders
INPUT|fills_per_accepted|1.2|fills/accepted
INPUT|market_updates_rps|5000|records/s
INPUT|peak_market_rps|8000|records/s
INPUT|burst_seconds|60|s
INPUT|payload_bytes|700|B/record
INPUT|billing_chunk_bytes|25600|B/Kinesis-PUT-payload-unit
INPUT|put_payload_chunk_bytes|25600|B/payload-unit
INPUT|fanout_consumers|3|consumers
INPUT|projection_fanout|4|projection-writes/accepted
INPUT|batch_small|1|records/invocation
INPUT|batch_medium|10|records/invocation
INPUT|batch_large|100|records/invocation
INPUT|flush_small_ms|5|ms
INPUT|flush_medium_ms|50|ms
INPUT|flush_large_ms|500|ms
INPUT|retry_rate|0.02|retries/original
INPUT|partial_failure_rate|0.01|failed-records/original
INPUT|replay_ratio|0.05|replay-records/original
INPUT|lambda_memory_gb|1|GB/invocation
INPUT|lambda_duration_s|0.08|s/invocation
INPUT|lambda_headroom|1.5|ratio
INPUT|lambda_tail_target_ms|200|ms
INPUT|lambda_measured_p99_ms|180|ms
INPUT|lambda_cold_p99_ms|350|ms
INPUT|fargate_tasks|2|tasks
INPUT|fargate_vcpu|1|vCPU/task
INPUT|fargate_memory_gb|2|GB/task
INPUT|fargate_worker_service_s|0.08|s/batch
INPUT|fargate_events_per_batch|10|events/batch
INPUT|fargate_capacity_headroom|1.5|ratio
INPUT|fargate_ha_min_tasks|2|tasks
INPUT|fargate_scaling_lag_s|30|s
INPUT|compute_peak_to_active_ratio|4|peak/active
INPUT|compute_crossing_search_max_average_rps|10000|time-averaged-events/s
INPUT|partial_batch_checkpoint_enabled|1|boolean
INPUT|ddb_txn_order_kib|1.2|KiB/item
INPUT|ddb_txn_idempotency_kib|0.7|KiB/item
INPUT|ddb_txn_outbox_kib|1.6|KiB/item
INPUT|ddb_txn_sentinel_kib|0.2|KiB/item
INPUT|ddb_order_account_gsi_kib|0.45|KiB/index-entry
INPUT|ddb_order_status_gsi_kib|0.35|KiB/index-entry
INPUT|ddb_outbox_ready_gsi_kib|0.45|KiB/index-entry
INPUT|ddb_order_hot_share|0.30|ratio
INPUT|ddb_idempotency_hot_share|0.20|ratio
INPUT|ddb_outbox_hot_share|0.25|ratio
INPUT|ddb_sentinel_hot_share|0.10|ratio
INPUT|ddb_order_account_gsi_hot_share|0.20|ratio
INPUT|ddb_order_status_gsi_hot_share|0.15|ratio
INPUT|ddb_outbox_ready_gsi_hot_share|0.25|ratio
INPUT|ddb_transaction_multiplier|2|WRU/ordinary-WRU
INPUT|ddb_hot_share|0.30|ratio
INPUT|ddb_lane_target_wru_s|1000|WRU/s
INPUT|ddb_global_table_replicas|0|added-replica-regions
INPUT|ddb_replica_storage_usd_month|0|USD/month-scenario
INPUT|ddb_replica_restore_usd_month|0|USD/month-scenario
INPUT|ddb_replica_topology_other_usd_month|0|USD/month-scenario
INPUT|kinesis_skew|1.25|hottest/average
INPUT|kinesis_top_key_share|0.15|ratio
INPUT|kinesis_util_target|0.80|ratio
INPUT|kinesis_shard_write_rps|1000|records/s/shard
INPUT|kinesis_shard_write_Bps|1000000|B/s/shard
INPUT|kinesis_shard_read_Bps|2000000|B/s/shard
INPUT|kinesis_recovery_commit_rps|9000|committed-records/s
INPUT|kinesis_zero_spare_commit_rps|6000|committed-records/s
INPUT|kinesis_safety_rps|1000|records/s
INPUT|kinesis_backlog_records|4500000|records
INPUT|kinesis_retention_hours|24|hours
INPUT|replay_age_hours|30|hours
INPUT|replay_sensitivity_ratio|0.20|replay-records/original
INPUT|replay_retrieval_consumers|3|consumers
INPUT|replay_consumer_batch_records|100|records/invocation
INPUT|replay_consumer_memory_gb|1|GB/invocation
INPUT|replay_consumer_duration_s|0.08|s/invocation
INPUT|replay_sink_consumers|3|consumers
INPUT|replay_sink_wru_per_record|1|WRU/written-record
INPUT|replay_sink_write_fraction|0.10|written/replayed-record
INPUT|replay_duplicate_rate|0.02|duplicates/attempt
INPUT|replay_idempotency_rru_per_attempt|1|RRU/attempt
INPUT|replay_reconciliation_rate|0.01|reconciliations/attempt
INPUT|replay_sink_capacity_wru_s|2000|WRU/s
INPUT|replay_retained_source_capacity_rps|4000|source-records/s
INPUT|replay_restore_source_capacity_rps|4000|source-records/s
INPUT|replay_consumer_capacity_rps|4000|source-records/s
INPUT|replay_stream_reingest_capacity_rps|5000|source-records/s
INPUT|replay_expired_post_reingest_read_capacity_rps|4000|source-records/s
INPUT|replay_archive_object_bytes|134217728|B/object
INPUT|audit_monthly_ingest_gb|100|GB/month
INPUT|audit_retention_months|24|months
INPUT|audit_year1_months|12|months
INPUT|audit_year2_months|24|months
INPUT|audit_object_lock_usd_year|0|USD/year-scenario
INPUT|audit_requests_usd_year|0|USD/year-scenario
INPUT|audit_transitions_usd_year|0|USD/year-scenario
INPUT|audit_retrieval_usd_year|0|USD/year-scenario
INPUT|audit_kms_usd_year|0|USD/year-scenario
INPUT|audit_export_usd_year|0|USD/year-scenario
INPUT|audit_legal_review_usd_year|0|USD/year-scenario
INPUT|active_accounts|50000|accounts-month
INPUT|ddb_read_item_kib|6|KiB/item
INPUT|cqrs_rru_avoided_per_read|4|RRU/read
INPUT|cqrs_zero_benefit_rru|0|RRU/read
INPUT|cqrs_projection_writes|4|writes/source-write
INPUT|cqrs_transport_requests_per_write|1|requests/source-write
INPUT|cqrs_cache_storage_usd_month|150|USD/month
INPUT|cqrs_rebuild_ratio|0.05|rebuild-writes/source-write
INPUT|cqrs_reconciliation_rate|0.01|reconciliations/source-write
INPUT|cqrs_engineering_hours|6|hours/month
INPUT|cqrs_oncall_hours|2|hours/month
INPUT|cqrs_hourly_usd|150|USD/hour
INPUT|cqrs_fixed_ops_usd|1000|USD/month
INPUT|cqrs_source_p99_ms|120|ms
INPUT|cqrs_projection_p99_ms|25|ms
INPUT|cqrs_freshness_s|2|s
INPUT|allocation_accepted_order|0.20|ratio
INPUT|allocation_execution_fill|0.20|ratio
INPUT|allocation_million_market_updates|0.35|ratio
INPUT|allocation_active_account_month|0.05|ratio
INPUT|allocation_projection_update|0.15|ratio
INPUT|allocation_retained_audit_year|0.05|ratio
INPUT|engineering_usd|12000|USD/month
INPUT|oncall_usd|6000|USD/month
INPUT|compliance_usd|4000|USD/month
INPUT|expected_loss_usd|5000|USD/month
FORMULA|business_counts|orders=avg_orders_rps*month_seconds*duty; accepted=orders*accept_rate; fills=accepted*fills_per_accepted|events/month
FORMULA|batching|invocations=orders/batch*(1+retry); chunks=ceil(batch*payload/billing_chunk); redelivery=batch*(retry+partial); concurrency=ceil(peak/batch*duration*headroom)|mixed
FORMULA|fanout|consumer_work=market_updates*consumers*(1+retry+replay)|records/month
FORMULA|cqrs_break_even|R/W=(projection_variable+fixed_ops/W)/(rru_avoided*rru_price)|reads/write
FORMULA|kinesis_capacity|shards=ceil(max(peak*payload/Bps_limit,peak/rps_limit)*skew/util_target)|shards
FORMULA|kinesis_recovery|drain=backlog/(commit-live-safety); no_safe_drain when denominator<=0|s
FORMULA|dynamodb_amplification|WRU/order=2*sum(ceil(each transaction target KiB))+sum(ceil(each GSI entry KiB))|WRU/order
FORMULA|compute_break_even|events/s=fargate_monthly*batch/(month_seconds*(1+retry)*(request_price+memory*duration*GBs_price))|events/s
FORMULA|unit_economics|unit_cost=allocated_numerator/business_denominator|USD/business-unit
FORMULA|sensitivity|recompute(base;traffic*0.5;traffic*2;fanout*2;burst*10;replay)|scenario
FORMULA|audit_cohorts|exposure=monthly_ingest*sum(cohort_months); retained_years=months/12; unit=annual_storage/retained_years|GB-month,USD/year
FORMULA|compute_capacity|capacity_per_task=batch/service; tasks=max(HA,ceil(peak*headroom/capacity)); active_crossing=average_crossing/duty|events/s,tasks
FORMULA|cqrs_components|threshold=(transport+projection_index+cache+rebuild+reconciliation+engineering+oncall+other_fixed)/avoided_read|reads/write
FORMULA|scenario_economics|recompute all priced components and six marginal/allocated/fully-loaded units under traffic,fanout,replay,retention,replicas|USD
FORMULA|compute_stepwise_capacity|for each average rate derive active=average/duty, peak=active*peak_ratio, tasks=max(HA,ceil(peak*headroom/task_capacity)), then compare Lambda to fleet|state,USD/month
FORMULA|dynamodb_physical_lanes|each base table and GSI lane=peak*lane_share*rounded_lane_WRU; feasibility=max(actual lane)|WRU/s
FORMULA|replica_billing|single Region=base_WRU+GSI_WRU; with n added Regions all n+1 Regions bill base_rWRU+ordinary_GSI_WRU+typed topology scenarios|USD/month
FORMULA|replay_full_path|select retained EFO or expired S3 restore/re-ingest plus selected post-read mode; effective rate=min(source,post-read,consumer,stream,spare,sink); then price retrieval+consumer+sink+idempotency+reconciliation and drain|USD/month,state
DRIVER|eventbridge|scenario_both|batching|cqrs|capacity
DRIVER|sqs_sns|scenario_both|batching|cqrs|capacity
DRIVER|step_functions|scenario_both|batching|cqrs|capacity
DRIVER|api|scenario_both|batching|cqrs|capacity
DRIVER|storage|modeled_both|batching|cqrs|capacity
DRIVER|retention_storage_class|scenario_both|batching|cqrs|capacity
DRIVER|cache_search_analytics|scenario_both|batching|cqrs|capacity
DRIVER|logs|scenario_both|batching|cqrs|capacity
DRIVER|traces|scenario_both|batching|cqrs|capacity
DRIVER|data_transfer|scenario_both|batching|cqrs|capacity
DRIVER|nat|scenario_both|batching|cqrs|capacity
DRIVER|kms|scenario_both|batching|cqrs|capacity
DRIVER|backup_export|scenario_both|batching|cqrs|capacity
DRIVER|retries_dlqs|scenario_both|batching|cqrs|capacity
DRIVER|replay_reconciliation|scenario_both|batching|cqrs|capacity
DRIVER|multi_az_region|scenario_both|batching|cqrs|capacity
DRIVER|support_discounts_tax|excluded_both:risk=invoice_variance|batching|cqrs|capacity
DRIVER|engineering_oncall|modeled_both|batching|cqrs|capacity
DRIVER|expected_correctness_availability_loss|scenario_both|batching|cqrs|capacity
SEMANTIC|chapter_preamble|chapter|PREAMBLE|closed_section|C49,C102,C112,C113|F19,F20|governed_v1|sha256:cba4691ddd0a5f8c505f912abd6e74e8e92ad9a1d0cc0d944abcf1ceb1cb8ee2
SEMANTIC|chapter_optimization|chapter|Optimization sequence|closed_section|C105,C108,C109,C110,C111,C112,C113,C114,C115|F19,F20|governed_v1|sha256:5df27fc8fa9967350996427e01a73d32711e29e84259785a277df899c130ec92
SEMANTIC|chapter_canonical|chapter|Canonical quantitative model|closed_section|C49,C78,C82,C95,C113,C114,C116|A44,A45,A46,A75,A99,A100,A123,A124,A125,A126,A127,F19,F20|governed_v1|sha256:8f58dbcc483b1919e737cfd56bf9a0c72a2d73da6c2f6f6d1ae8730a7d62e430
SEMANTIC|chapter_units|chapter|Six fintech unit economics|closed_section|C113|A123,A125,A126,F19,F20|governed_v1|sha256:e8806b03a1ee9f755ba30021e667475d67e01833be7d067424f163e0d4a70c11
SEMANTIC|chapter_batching|chapter|Batching and fan-out|closed_section|C73,C76,C113,C114|A96,A98,A99|governed_v1|sha256:7e01449e43e4d6717a1cead2bce8afbfd009355ec470638d6fe5f822da5ee060
SEMANTIC|chapter_cqrs|chapter|CQRS dated break-even|closed_section|C35,C46,C97,C100,C102,C113|A113,F06,F19,F20|governed_v1|sha256:171d71d4deebb924fa714becdd5abdbd6545549dca1d179be33229ab6ce98dc1
SEMANTIC|chapter_capacity|chapter|Kinesis and DynamoDB feasibility|closed_section|C70,C75,C77,C78,C82,C83,C85,C87,C89,C95,C114,C116|A95,A97,A99,A100,A101,A104,A105,A107,A125,A126,A127|governed_v1|sha256:308324dd1d668fac5ac28f2c744e6de0ba14c3c0816b6f326d1a39fc7c4322ff
SEMANTIC|chapter_compute|chapter|Lambda versus sustained compute|closed_section|C53,C111,C115|A51,A58,A59,A67,A123,A124,F09|governed_v1|sha256:e1209232ceaad7d07a40403ccbc3fa93263ae96b8405c87bfa9bbacc1424168b
SEMANTIC|chapter_completeness|chapter|Cost-completeness matrix|closed_section|C113,C114,C115,C116|A99,A123,A124,A125,A126,A127,F19,F20|governed_v1|sha256:7fe8b6d53e48c78f022b44f8507055150d279a16f3c4ba6536377cbe63bb024f
SEMANTIC|chapter_decisions|chapter|Decision table|closed_section|C113,C114,C115,C116|A99,A123,A124,A125,A126,A127,F19,F20|governed_v1|sha256:014719b2690da00561b3ed80403caa462c16e4b3de0b94511f0c05867a5db53c
SEMANTIC|chapter_sensitivity|chapter|Sensitivity and falsification|closed_section|C113,C114,C115,C116|A99,A123,A124,A125,A126,A127,F19,F20|governed_v1|sha256:75da42848f4b0ef5676461becc537c9d5057956bc4aaf57aaa9553b0061833df
SEMANTIC|chapter_questions|chapter|Senior quantitative interview questions|closed_section|C113,C114,C115,C116|A99,A123,A124,A125,A126,A127,F19,F20|governed_v1|sha256:06f4826de85f0686d232faeaf6e37300c4ea11f6ef88080b35055a02634541aa
SEMANTIC|chapter_sources|chapter|Sources|closed_section|C49,C102,C112,C113,C114,C115,C116|A44,A45,A46,A51,A67,A75,A95,A99,A100,A101,A102,A103,A104,A105,A107,A123,A124,A125,A126,A127,F19,F20|governed_v1|sha256:ee256848006c6fee0d9a58d8468c12bcfff8a3f0a8c285ab344c2d239db4ea7a
SEMANTIC|cost_task10|cost|Task 10 dated cross-service cost, performance, and capacity model|closed_section|C49,C113,C114,C115,C116|A99,A123,A124,A125,A126,A127,F19,F20|governed_v1|sha256:ac59c724a9788bb76a02762d63496cc5fce4974be506f2b685e2b8a065c0f789
RESULT|monthly_orders|64800000.0|orders/month
RESULT|monthly_accepted_orders|61560000.0|accepted/month
RESULT|monthly_fills|73872000.0|fills/month
RESULT|monthly_market_updates|12960000000.0|records/month
RESULT|monthly_projection_updates|246240000.0|updates/month
RESULT|batch_small_invocations|66096000.0|invocations/month
RESULT|batch_small_chunks|1.0|chunks/invocation
RESULT|batch_small_flush_ms|5.0|ms
RESULT|batch_small_redelivery_records|0.03|record-attempts/original-batch
RESULT|batch_small_expected_extra_attempts|0.03|record-attempts/original-batch
RESULT|batch_small_conditional_max_coupled_records|1.0|records/poison-batch
RESULT|batch_small_concurrency|48.0|concurrent-invocations
RESULT|batch_small_commits|66744000.0|commits/month
RESULT|batch_medium_invocations|6609600.0|invocations/month
RESULT|batch_medium_chunks|1.0|chunks/invocation
RESULT|batch_medium_flush_ms|50.0|ms
RESULT|batch_medium_redelivery_records|0.3|record-attempts/original-batch
RESULT|batch_medium_expected_extra_attempts|0.3|record-attempts/original-batch
RESULT|batch_medium_conditional_max_coupled_records|10.0|records/poison-batch
RESULT|batch_medium_concurrency|5.0|concurrent-invocations
RESULT|batch_medium_commits|6674400.0|commits/month
RESULT|batch_large_invocations|660960.0|invocations/month
RESULT|batch_large_chunks|3.0|chunks/invocation
RESULT|batch_large_flush_ms|500.0|ms
RESULT|batch_large_redelivery_records|3.0|record-attempts/original-batch
RESULT|batch_large_expected_extra_attempts|3.0|record-attempts/original-batch
RESULT|batch_large_conditional_max_coupled_records|100.0|records/poison-batch
RESULT|batch_large_concurrency|1.0|concurrent-invocations
RESULT|batch_large_commits|667440.0|commits/month
RESULT|fanout_consumer_work_records|41601600000.0|consumer-records/month
RESULT|partial_batch_checkpoint_state|ENABLED_LIMITS_SUCCESSFUL_PREFIX_REPLAY|state
RESULT|lambda_monthly_usd|43.908549|USD/month
RESULT|fargate_monthly_usd|71.0928|USD/month
RESULT|fargate_capacity_per_task_rps|125.0|events/s/task
RESULT|fargate_required_tasks|5.0|tasks
RESULT|fargate_minimum_feasible_monthly_usd|177.732|USD/month
RESULT|fargate_baseline_basket_state|PRICE_ONLY_INFEASIBLE|state
RESULT|compute_break_even_events_rps|438.422795|source-records/s
RESULT|compute_break_even_average_rps|438.422795|time-averaged-events/s
RESULT|compute_break_even_active_rps|1753.691181|active-period-events/s
RESULT|compute_break_even_lambda_usd|177.732|USD/month
RESULT|compute_break_even_plugback_usd|177.732|USD/month
RESULT|compute_crossing_state|NO_CAPACITY_FEASIBLE_PRICE_CROSSING|state
RESULT|compute_candidate_average_rps|438.422795|time-averaged-events/s
RESULT|compute_candidate_active_rps|1753.691181|active-period-events/s
RESULT|compute_candidate_peak_rps|7014.764726|peak-events/s
RESULT|compute_candidate_required_tasks|85.0|tasks
RESULT|compute_candidate_fleet_usd|3021.444|USD/month
RESULT|compute_candidate_lambda_usd|177.732|USD/month
RESULT|compute_candidate_price_gap_usd|2843.712|USD/month
RESULT|compute_candidate_queue_events|0.0|events
RESULT|compute_crossing_search_max_average_rps|10000.0|time-averaged-events/s
RESULT|fargate_scaling_lag_queue_events|4500.0|events
RESULT|lambda_warm_tail_margin_ms|20.0|ms
RESULT|lambda_cold_tail_state|TARGET_MISSED|state
RESULT|ddb_wru_per_order|15.0|WRU/order
RESULT|ddb_base_wru_per_order|12.0|WRU/order
RESULT|ddb_gsi_wru_per_order|3.0|WRU/order
RESULT|ddb_replica_wru_per_order|0.0|WRU/order/replicas
RESULT|ddb_replica_base_rwru_per_order|12.0|WRU/order
RESULT|ddb_replica_gsi_wru_per_order|3.0|WRU/order
RESULT|ddb_replica_base_usd_month|559.17216|USD/month
RESULT|ddb_replica_gsi_usd_month|139.79304|USD/month
RESULT|ddb_replica_exclusions_state|ZERO_PLANNING_INPUTS_REPRICE_BEFORE_TOPOLOGY_DECISION|state
RESULT|ddb_topology_state|SINGLE_REGION_ORDINARY_WRU|state
RESULT|ddb_topology_region_count|1.0|Regions
RESULT|ddb_topology_base_usd|559.17216|USD/month
RESULT|ddb_topology_gsi_usd|139.79304|USD/month
RESULT|ddb_unequal_price_single_region_units|15.0|synthetic-cost-units
RESULT|ddb_unequal_price_two_region_units|54.0|synthetic-cost-units
RESULT|ddb_unequal_price_probe_state|OPERATION_SPLIT_PROVEN|state
RESULT|ddb_monthly_usd|1122.141535|USD/month
RESULT|ddb_billing_aggregate_wru_s|1800.0|WRU/s
RESULT|ddb_max_hot_lane_wru_s|480.0|WRU/s
RESULT|ddb_max_hot_lane_id|order|identifier
RESULT|ddb_max_hot_lane_state|FEASIBLE|state
RESULT|ddb_lane_headroom_wru_s|520.0|WRU/s
RESULT|kinesis_planned_shards|13.0|shards
RESULT|kinesis_put_payload_units|13219200000.0|synthetic-cost-units
RESULT|kinesis_monthly_usd|1263.9698|USD/month
RESULT|s3_monthly_usd|59.611731|USD/month
RESULT|kinesis_hot_key_rps|1200.0|source-records/s
RESULT|kinesis_hot_key_state|INFEASIBLE_SINGLE_KEY|state
RESULT|kinesis_standard_required_Bps|10500000.0|B/s
RESULT|kinesis_standard_capacity_Bps|26000000.0|B/s
RESULT|kinesis_standard_read_state|AGGREGATE_FITS_MEASURE_PER_SHARD|state
RESULT|kinesis_replay_spare_rps|3000.0|source-records/s
RESULT|kinesis_drain_seconds|1500.0|s
RESULT|kinesis_zero_drain_state|NO_SAFE_DRAIN_AT_ZERO_SPARE|state
RESULT|kinesis_retention_margin_hours|-6.0|hours
RESULT|kinesis_replay_retention_state|REPLAY_EXPIRED_RESTORE_REQUIRED|state
RESULT|audit_year1_storage_gb_month|7800.0|GB-month/cumulative-cohort-period
RESULT|audit_year1_storage_usd|179.4|USD/cumulative-cohort-period
RESULT|audit_year1_retained_years|1.0|retained-years
RESULT|audit_two_year_storage_gb_month|30000.0|GB-month/cumulative-cohort-period
RESULT|audit_two_year_storage_usd|690.0|USD/cumulative-cohort-period
RESULT|audit_two_year_retained_years|2.0|retained-years
RESULT|audit_steady_storage_gb_month|28800.0|GB-month/year
RESULT|audit_steady_storage_usd|662.4|USD/year
RESULT|audit_steady_retained_years|2.0|retained-years
RESULT|audit_year1_cost_per_retained_year_usd|179.4|USD/retained-audit-year
RESULT|audit_two_year_cost_per_retained_year_usd|345.0|USD/retained-audit-year
RESULT|audit_steady_cost_per_retained_year_usd|331.2|USD/retained-audit-year
RESULT|audit_object_lock_usd_year|0.0|USD/year-scenario
RESULT|audit_requests_usd_year|0.0|USD/year-scenario
RESULT|audit_transitions_usd_year|0.0|USD/year-scenario
RESULT|audit_retrieval_usd_year|0.0|USD/year-scenario
RESULT|audit_kms_usd_year|0.0|USD/year-scenario
RESULT|audit_export_usd_year|0.0|USD/year-scenario
RESULT|audit_legal_review_usd_year|0.0|USD/year-scenario
RESULT|audit_adjacent_scenario_total_usd_year|0.0|USD/year-scenario
RESULT|audit_adjacent_scenarios_state|ZERO_PLANNING_INPUTS_REPRICE_BEFORE_DECISION|state
RESULT|cqrs_transport_usd_month|94.392164|USD/month
RESULT|cqrs_projection_index_usd_month|173.5992|USD/month
RESULT|cqrs_cache_storage_usd_month|150.0|USD/month
RESULT|cqrs_rebuild_replay_usd_month|8.67996|USD/month
RESULT|cqrs_reconciliation_usd_month|2.679914|USD/month
RESULT|cqrs_engineering_usd_month|900.0|USD/month
RESULT|cqrs_oncall_usd_month|300.0|USD/month
RESULT|cqrs_break_even_reads_per_write|75.462912|reads/write
RESULT|cqrs_read_heavy_net_usd|-887.203238|USD/month
RESULT|cqrs_mixed_net_usd|-2350.607558|USD/month
RESULT|cqrs_write_heavy_net_usd|-2559.665318|USD/month
RESULT|cqrs_zero_benefit_state|NO_ECONOMIC_WIN_ZERO_BENEFIT|state
RESULT|cqrs_half_volume_break_even|142.908388|reads/write
RESULT|cqrs_double_volume_break_even|41.740175|reads/write
RESULT|cqrs_half_benefit_break_even|150.925825|reads/write
RESULT|cqrs_double_fanout_break_even|80.744184|reads/write
RESULT|cqrs_measured_p99_gain_ms|95.0|ms
RESULT|cqrs_measured_freshness_s|2.0|s
RESULT|ddb_eventual_rru|1.0|RRU/read
RESULT|ddb_strong_rru|2.0|RRU/read
RESULT|ddb_transactional_rru|4.0|RRU/read
RESULT|marginal_platform_usd|2489.631616|USD/month
RESULT|allocated_platform_usd|24489.631616|USD/month
RESULT|fully_loaded_risk_adjusted_usd|29489.631616|USD/month
RESULT|allocation_share_sum|1.0|ratio
RESULT|lambda_contribution_percent|1.763656|percent
RESULT|ddb_contribution_percent|45.072593|percent
RESULT|kinesis_contribution_percent|50.76935|percent
RESULT|s3_contribution_percent|2.3944|percent
RESULT|half_traffic_shards|7.0|shards
RESULT|double_traffic_shards|25.0|shards
RESULT|double_fanout_work_records|83203200000.0|consumer-records/month
RESULT|tenfold_burst_lambda_concurrency|48.0|concurrent-invocations
RESULT|tenfold_burst_queue_records|4300800.0|records
RESULT|replay_load_records|2592000000.0|records/month
RESULT|ddb_lane_order_wru_per_order|4.0|WRU/order
RESULT|ddb_lane_order_hot_wru_s|480.0|WRU/s
RESULT|ddb_lane_order_state|FEASIBLE|state
RESULT|ddb_lane_idempotency_wru_per_order|2.0|WRU/order
RESULT|ddb_lane_idempotency_hot_wru_s|160.0|WRU/s
RESULT|ddb_lane_idempotency_state|FEASIBLE|state
RESULT|ddb_lane_outbox_wru_per_order|4.0|WRU/order
RESULT|ddb_lane_outbox_hot_wru_s|400.0|WRU/s
RESULT|ddb_lane_outbox_state|FEASIBLE|state
RESULT|ddb_lane_sentinel_wru_per_order|2.0|WRU/order
RESULT|ddb_lane_sentinel_hot_wru_s|80.0|WRU/s
RESULT|ddb_lane_sentinel_state|FEASIBLE|state
RESULT|ddb_lane_order_account_gsi_wru_per_order|1.0|WRU/order
RESULT|ddb_lane_order_account_gsi_hot_wru_s|80.0|WRU/s
RESULT|ddb_lane_order_account_gsi_state|FEASIBLE|state
RESULT|ddb_lane_order_status_gsi_wru_per_order|1.0|WRU/order
RESULT|ddb_lane_order_status_gsi_hot_wru_s|60.0|WRU/s
RESULT|ddb_lane_order_status_gsi_state|FEASIBLE|state
RESULT|ddb_lane_outbox_ready_gsi_wru_per_order|1.0|WRU/order
RESULT|ddb_lane_outbox_ready_gsi_hot_wru_s|100.0|WRU/s
RESULT|ddb_lane_outbox_ready_gsi_state|FEASIBLE|state
RESULT|replay_efo_retrieval_gb|1267.34376|GB/month
RESULT|replay_efo_retrieval_usd|18.629953|USD/month
RESULT|replay_source_state|EXPIRED_S3_RESTORE_REINGEST|state
RESULT|replay_source_available_rps|4000.0|source-records/s
RESULT|replay_effective_rate_rps|3000.0|source-records/s
RESULT|replay_rate_bottleneck|KINESIS_SPARE|state
RESULT|replay_sink_capacity_source_rps|6535.947712|source-records/s
RESULT|replay_archive_objects|3380.0|objects/month
RESULT|replay_s3_source_gb|422.44792|GB/month
RESULT|replay_s3_restore_request_usd|0.1859|USD/month
RESULT|replay_s3_get_request_usd|0.001352|USD/month
RESULT|replay_s3_retrieval_usd|4.224479|USD/month
RESULT|replay_reingest_put_units|648000000.0|payload-units/month
RESULT|replay_reingest_put_usd|10.692|USD/month
RESULT|replay_post_reingest_read_mode|EFO|state
RESULT|replay_post_reingest_read_capacity_rps|4000.0|source-records/s
RESULT|replay_post_reingest_read_gb|1267.34376|GB/month
RESULT|replay_post_reingest_read_usd|18.629953|USD/month
RESULT|replay_post_reingest_read_capacity_state|CAPACITY_AVAILABLE|state
RESULT|replay_consumer_invocations|19440000.0|invocations/month
RESULT|replay_consumer_compute_usd|29.808052|USD/month
RESULT|replay_sink_attempts|1982880000.0|attempts/month
RESULT|replay_sink_projection_wru|198288000.0|WRU/month
RESULT|replay_sink_projection_usd|139.79304|USD/month
RESULT|replay_idempotency_rru|1982880000.0|RRU/month
RESULT|replay_idempotency_usd|280.57752|USD/month
RESULT|replay_reconciliation_attempts|19828800.0|attempts/month
RESULT|replay_reconciliation_usd|6.771535|USD/month
RESULT|replay_sink_demand_wru_s|918.0|WRU/s
RESULT|replay_sink_capacity_headroom_wru_s|1082.0|WRU/s
RESULT|replay_sink_capacity_state|CAPACITY_FEASIBLE|state
RESULT|replay_drain_seconds|216000.0|s
RESULT|replay_retained_probe_source_state|RETAINED_KINESIS_EFO|state
RESULT|replay_retained_probe_effective_rate_rps|3000.0|source-records/s
RESULT|replay_retained_probe_rate_bottleneck|KINESIS_SPARE|state
RESULT|replay_retained_probe_drain_seconds|216000.0|s
RESULT|replay_retained_probe_efo_usd|18.629953|USD/month
RESULT|replay_retained_probe_s3_usd|0.0|USD/month
RESULT|replay_retained_probe_reingest_usd|0.0|USD/month
RESULT|replay_expired_probe_source_state|EXPIRED_S3_RESTORE_REINGEST|state
RESULT|replay_expired_probe_efo_usd|18.629953|USD/month
RESULT|replay_expired_probe_s3_usd|4.411731|USD/month
RESULT|replay_expired_probe_reingest_usd|10.692|USD/month
RESULT|replay_sink_limited_500_rate_rps|1633.986928|source-records/s
RESULT|replay_sink_limited_500_drain_seconds|396576.0|s
RESULT|replay_sink_limited_500_demand_wru_s|500.0|WRU/s
RESULT|replay_sink_limited_500_state|SINK|state
RESULT|replay_consumer_limited_rate_rps|1000.0|source-records/s
RESULT|replay_consumer_limited_drain_seconds|648000.0|s
RESULT|replay_consumer_limited_state|CONSUMER|state
RESULT|replay_zero_spare_rate_rps|0.0|source-records/s
RESULT|replay_zero_spare_drain_state|NO_SAFE_DRAIN|state
RESULT|replay_zero_spare_drain_seconds|INFINITE|s
RESULT|accepted_order_marginal_numerator_usd|497.926323|USD/numerator-period
RESULT|accepted_order_marginal_usd|0.000008|USD/business-unit
RESULT|accepted_order_allocated_numerator_usd|4897.926323|USD/numerator-period
RESULT|accepted_order_allocated_usd|0.00008|USD/business-unit
RESULT|accepted_order_fully_loaded_numerator_usd|5897.926323|USD/numerator-period
RESULT|accepted_order_fully_loaded_usd|0.000096|USD/business-unit
RESULT|accepted_order_denominator|61560000.0|business-units
RESULT|execution_fill_marginal_numerator_usd|497.926323|USD/numerator-period
RESULT|execution_fill_marginal_usd|0.000007|USD/business-unit
RESULT|execution_fill_allocated_numerator_usd|4897.926323|USD/numerator-period
RESULT|execution_fill_allocated_usd|0.000066|USD/business-unit
RESULT|execution_fill_fully_loaded_numerator_usd|5897.926323|USD/numerator-period
RESULT|execution_fill_fully_loaded_usd|0.00008|USD/business-unit
RESULT|execution_fill_denominator|73872000.0|business-units
RESULT|million_market_updates_marginal_numerator_usd|871.371066|USD/numerator-period
RESULT|million_market_updates_marginal_usd|0.067235|USD/business-unit
RESULT|million_market_updates_allocated_numerator_usd|8571.371066|USD/numerator-period
RESULT|million_market_updates_allocated_usd|0.661371|USD/business-unit
RESULT|million_market_updates_fully_loaded_numerator_usd|10321.371066|USD/numerator-period
RESULT|million_market_updates_fully_loaded_usd|0.796402|USD/business-unit
RESULT|million_market_updates_denominator|12960.0|business-units
RESULT|active_account_month_marginal_numerator_usd|124.481581|USD/numerator-period
RESULT|active_account_month_marginal_usd|0.00249|USD/business-unit
RESULT|active_account_month_allocated_numerator_usd|1224.481581|USD/numerator-period
RESULT|active_account_month_allocated_usd|0.02449|USD/business-unit
RESULT|active_account_month_fully_loaded_numerator_usd|1474.481581|USD/numerator-period
RESULT|active_account_month_fully_loaded_usd|0.02949|USD/business-unit
RESULT|active_account_month_denominator|50000.0|business-units
RESULT|projection_update_marginal_numerator_usd|373.444742|USD/numerator-period
RESULT|projection_update_marginal_usd|0.000002|USD/business-unit
RESULT|projection_update_allocated_numerator_usd|3673.444742|USD/numerator-period
RESULT|projection_update_allocated_usd|0.000015|USD/business-unit
RESULT|projection_update_fully_loaded_numerator_usd|4423.444742|USD/numerator-period
RESULT|projection_update_fully_loaded_usd|0.000018|USD/business-unit
RESULT|projection_update_denominator|246240000.0|business-units
RESULT|retained_audit_year_marginal_numerator_usd|1493.778969|USD/numerator-period
RESULT|retained_audit_year_marginal_usd|746.889485|USD/business-unit
RESULT|retained_audit_year_allocated_numerator_usd|14693.778969|USD/numerator-period
RESULT|retained_audit_year_allocated_usd|7346.889485|USD/business-unit
RESULT|retained_audit_year_fully_loaded_numerator_usd|17693.778969|USD/numerator-period
RESULT|retained_audit_year_fully_loaded_usd|8846.889485|USD/business-unit
RESULT|retained_audit_year_denominator|2.0|business-units
RESULT|scenario_half_marginal_usd|1269.295808|USD/month
RESULT|scenario_half_accepted_order_marginal_usd|0.000008|USD/business-unit
RESULT|scenario_half_accepted_order_allocated_usd|0.000151|USD/business-unit
RESULT|scenario_half_accepted_order_fully_loaded_usd|0.000184|USD/business-unit
RESULT|scenario_half_execution_fill_marginal_usd|0.000007|USD/business-unit
RESULT|scenario_half_execution_fill_allocated_usd|0.000126|USD/business-unit
RESULT|scenario_half_execution_fill_fully_loaded_usd|0.000153|USD/business-unit
RESULT|scenario_half_million_market_updates_marginal_usd|0.068558|USD/business-unit
RESULT|scenario_half_million_market_updates_allocated_usd|1.256829|USD/business-unit
RESULT|scenario_half_million_market_updates_fully_loaded_usd|1.526891|USD/business-unit
RESULT|scenario_half_active_account_month_marginal_usd|0.002539|USD/business-unit
RESULT|scenario_half_active_account_month_allocated_usd|0.046539|USD/business-unit
RESULT|scenario_half_active_account_month_fully_loaded_usd|0.056539|USD/business-unit
RESULT|scenario_half_projection_update_marginal_usd|0.000002|USD/business-unit
RESULT|scenario_half_projection_update_allocated_usd|0.000028|USD/business-unit
RESULT|scenario_half_projection_update_fully_loaded_usd|0.000034|USD/business-unit
RESULT|scenario_half_retained_audit_year_marginal_usd|380.788742|USD/business-unit
RESULT|scenario_half_retained_audit_year_allocated_usd|6980.788742|USD/business-unit
RESULT|scenario_half_retained_audit_year_fully_loaded_usd|8480.788742|USD/business-unit
RESULT|scenario_double_marginal_usd|4930.303231|USD/month
RESULT|scenario_double_accepted_order_marginal_usd|0.000008|USD/business-unit
RESULT|scenario_double_accepted_order_allocated_usd|0.000044|USD/business-unit
RESULT|scenario_double_accepted_order_fully_loaded_usd|0.000052|USD/business-unit
RESULT|scenario_double_execution_fill_marginal_usd|0.000007|USD/business-unit
RESULT|scenario_double_execution_fill_allocated_usd|0.000036|USD/business-unit
RESULT|scenario_double_execution_fill_fully_loaded_usd|0.000043|USD/business-unit
RESULT|scenario_double_million_market_updates_marginal_usd|0.066574|USD/business-unit
RESULT|scenario_double_million_market_updates_allocated_usd|0.363642|USD/business-unit
RESULT|scenario_double_million_market_updates_fully_loaded_usd|0.431158|USD/business-unit
RESULT|scenario_double_active_account_month_marginal_usd|0.002465|USD/business-unit
RESULT|scenario_double_active_account_month_allocated_usd|0.013465|USD/business-unit
RESULT|scenario_double_active_account_month_fully_loaded_usd|0.015965|USD/business-unit
RESULT|scenario_double_projection_update_marginal_usd|0.000002|USD/business-unit
RESULT|scenario_double_projection_update_allocated_usd|0.000008|USD/business-unit
RESULT|scenario_double_projection_update_fully_loaded_usd|0.00001|USD/business-unit
RESULT|scenario_double_retained_audit_year_marginal_usd|1479.090969|USD/business-unit
RESULT|scenario_double_retained_audit_year_allocated_usd|8079.090969|USD/business-unit
RESULT|scenario_double_retained_audit_year_fully_loaded_usd|9579.090969|USD/business-unit
RESULT|scenario_double_fanout_marginal_usd|3347.042662|USD/month
RESULT|scenario_double_fanout_accepted_order_marginal_usd|0.000011|USD/business-unit
RESULT|scenario_double_fanout_accepted_order_allocated_usd|0.000082|USD/business-unit
RESULT|scenario_double_fanout_accepted_order_fully_loaded_usd|0.000099|USD/business-unit
RESULT|scenario_double_fanout_execution_fill_marginal_usd|0.000009|USD/business-unit
RESULT|scenario_double_fanout_execution_fill_allocated_usd|0.000069|USD/business-unit
RESULT|scenario_double_fanout_execution_fill_fully_loaded_usd|0.000082|USD/business-unit
RESULT|scenario_double_fanout_million_market_updates_marginal_usd|0.090391|USD/business-unit
RESULT|scenario_double_fanout_million_market_updates_allocated_usd|0.684527|USD/business-unit
RESULT|scenario_double_fanout_million_market_updates_fully_loaded_usd|0.819557|USD/business-unit
RESULT|scenario_double_fanout_active_account_month_marginal_usd|0.003347|USD/business-unit
RESULT|scenario_double_fanout_active_account_month_allocated_usd|0.025347|USD/business-unit
RESULT|scenario_double_fanout_active_account_month_fully_loaded_usd|0.030347|USD/business-unit
RESULT|scenario_double_fanout_projection_update_marginal_usd|0.000002|USD/business-unit
RESULT|scenario_double_fanout_projection_update_allocated_usd|0.000015|USD/business-unit
RESULT|scenario_double_fanout_projection_update_fully_loaded_usd|0.000018|USD/business-unit
RESULT|scenario_double_fanout_retained_audit_year_marginal_usd|1004.112799|USD/business-unit
RESULT|scenario_double_fanout_retained_audit_year_allocated_usd|7604.112799|USD/business-unit
RESULT|scenario_double_fanout_retained_audit_year_fully_loaded_usd|9104.112799|USD/business-unit
RESULT|scenario_replay_marginal_usd|3961.683055|USD/month
RESULT|scenario_replay_accepted_order_marginal_usd|0.000013|USD/business-unit
RESULT|scenario_replay_accepted_order_allocated_usd|0.000084|USD/business-unit
RESULT|scenario_replay_accepted_order_fully_loaded_usd|0.000101|USD/business-unit
RESULT|scenario_replay_execution_fill_marginal_usd|0.000011|USD/business-unit
RESULT|scenario_replay_execution_fill_allocated_usd|0.00007|USD/business-unit
RESULT|scenario_replay_execution_fill_fully_loaded_usd|0.000084|USD/business-unit
RESULT|scenario_replay_million_market_updates_marginal_usd|0.10699|USD/business-unit
RESULT|scenario_replay_million_market_updates_allocated_usd|0.701126|USD/business-unit
RESULT|scenario_replay_million_market_updates_fully_loaded_usd|0.836157|USD/business-unit
RESULT|scenario_replay_active_account_month_marginal_usd|0.003962|USD/business-unit
RESULT|scenario_replay_active_account_month_allocated_usd|0.025962|USD/business-unit
RESULT|scenario_replay_active_account_month_fully_loaded_usd|0.030962|USD/business-unit
RESULT|scenario_replay_projection_update_marginal_usd|0.000002|USD/business-unit
RESULT|scenario_replay_projection_update_allocated_usd|0.000016|USD/business-unit
RESULT|scenario_replay_projection_update_fully_loaded_usd|0.000019|USD/business-unit
RESULT|scenario_replay_retained_audit_year_marginal_usd|1188.504916|USD/business-unit
RESULT|scenario_replay_retained_audit_year_allocated_usd|7788.504916|USD/business-unit
RESULT|scenario_replay_retained_audit_year_fully_loaded_usd|9288.504916|USD/business-unit
RESULT|scenario_replay_kinesis_usd|1351.93566|USD/month
RESULT|scenario_replay_efo_retrieval_usd|74.519813|USD/month
RESULT|scenario_replay_consumer_compute_usd|119.232207|USD/month
RESULT|scenario_replay_sink_projection_usd|559.17216|USD/month
RESULT|scenario_replay_idempotency_usd|1122.31008|USD/month
RESULT|scenario_replay_reconciliation_usd|27.086141|USD/month
RESULT|scenario_one_replica_marginal_usd|3188.596816|USD/month
RESULT|scenario_one_replica_accepted_order_marginal_usd|0.00001|USD/business-unit
RESULT|scenario_one_replica_accepted_order_allocated_usd|0.000082|USD/business-unit
RESULT|scenario_one_replica_accepted_order_fully_loaded_usd|0.000098|USD/business-unit
RESULT|scenario_one_replica_execution_fill_marginal_usd|0.000009|USD/business-unit
RESULT|scenario_one_replica_execution_fill_allocated_usd|0.000068|USD/business-unit
RESULT|scenario_one_replica_execution_fill_fully_loaded_usd|0.000082|USD/business-unit
RESULT|scenario_one_replica_million_market_updates_marginal_usd|0.086112|USD/business-unit
RESULT|scenario_one_replica_million_market_updates_allocated_usd|0.680248|USD/business-unit
RESULT|scenario_one_replica_million_market_updates_fully_loaded_usd|0.815278|USD/business-unit
RESULT|scenario_one_replica_active_account_month_marginal_usd|0.003189|USD/business-unit
RESULT|scenario_one_replica_active_account_month_allocated_usd|0.025189|USD/business-unit
RESULT|scenario_one_replica_active_account_month_fully_loaded_usd|0.030189|USD/business-unit
RESULT|scenario_one_replica_projection_update_marginal_usd|0.000002|USD/business-unit
RESULT|scenario_one_replica_projection_update_allocated_usd|0.000015|USD/business-unit
RESULT|scenario_one_replica_projection_update_fully_loaded_usd|0.000018|USD/business-unit
RESULT|scenario_one_replica_retained_audit_year_marginal_usd|956.579045|USD/business-unit
RESULT|scenario_one_replica_retained_audit_year_allocated_usd|7556.579045|USD/business-unit
RESULT|scenario_one_replica_retained_audit_year_fully_loaded_usd|9056.579045|USD/business-unit
RESULT|scenario_one_replica_topology_state|GLOBAL_TABLE_ALL_REGIONS_BASE_RWRU_GSI_WRU|state
RESULT|scenario_one_replica_region_count|2.0|Regions
RESULT|scenario_one_replica_base_rwru_usd|1118.34432|USD/month
RESULT|scenario_one_replica_gsi_wru_usd|279.58608|USD/month

Result ID	Value	Unit
monthly_orders	64800000.0	orders/month
monthly_accepted_orders	61560000.0	accepted/month
monthly_fills	73872000.0	fills/month
monthly_market_updates	12960000000.0	records/month
monthly_projection_updates	246240000.0	updates/month
batch_small_invocations	66096000.0	invocations/month
batch_small_chunks	1.0	chunks/invocation
batch_small_flush_ms	5.0	ms
batch_small_redelivery_records	0.03	record-attempts/original-batch
batch_small_expected_extra_attempts	0.03	record-attempts/original-batch
batch_small_conditional_max_coupled_records	1.0	records/poison-batch
batch_small_concurrency	48.0	concurrent-invocations
batch_small_commits	66744000.0	commits/month
batch_medium_invocations	6609600.0	invocations/month
batch_medium_chunks	1.0	chunks/invocation
batch_medium_flush_ms	50.0	ms
batch_medium_redelivery_records	0.3	record-attempts/original-batch
batch_medium_expected_extra_attempts	0.3	record-attempts/original-batch
batch_medium_conditional_max_coupled_records	10.0	records/poison-batch
batch_medium_concurrency	5.0	concurrent-invocations
batch_medium_commits	6674400.0	commits/month
batch_large_invocations	660960.0	invocations/month
batch_large_chunks	3.0	chunks/invocation
batch_large_flush_ms	500.0	ms
batch_large_redelivery_records	3.0	record-attempts/original-batch
batch_large_expected_extra_attempts	3.0	record-attempts/original-batch
batch_large_conditional_max_coupled_records	100.0	records/poison-batch
batch_large_concurrency	1.0	concurrent-invocations
batch_large_commits	667440.0	commits/month
fanout_consumer_work_records	41601600000.0	consumer-records/month
partial_batch_checkpoint_state	ENABLED_LIMITS_SUCCESSFUL_PREFIX_REPLAY	state
lambda_monthly_usd	43.908549	USD/month
fargate_monthly_usd	71.0928	USD/month
fargate_capacity_per_task_rps	125.0	events/s/task
fargate_required_tasks	5.0	tasks
fargate_minimum_feasible_monthly_usd	177.732	USD/month
fargate_baseline_basket_state	PRICE_ONLY_INFEASIBLE	state
compute_break_even_events_rps	438.422795	source-records/s
compute_break_even_average_rps	438.422795	time-averaged-events/s
compute_break_even_active_rps	1753.691181	active-period-events/s
compute_break_even_lambda_usd	177.732	USD/month
compute_break_even_plugback_usd	177.732	USD/month
compute_crossing_state	NO_CAPACITY_FEASIBLE_PRICE_CROSSING	state
compute_candidate_average_rps	438.422795	time-averaged-events/s
compute_candidate_active_rps	1753.691181	active-period-events/s
compute_candidate_peak_rps	7014.764726	peak-events/s
compute_candidate_required_tasks	85.0	tasks
compute_candidate_fleet_usd	3021.444	USD/month
compute_candidate_lambda_usd	177.732	USD/month
compute_candidate_price_gap_usd	2843.712	USD/month
compute_candidate_queue_events	0.0	events
compute_crossing_search_max_average_rps	10000.0	time-averaged-events/s
fargate_scaling_lag_queue_events	4500.0	events
lambda_warm_tail_margin_ms	20.0	ms
lambda_cold_tail_state	TARGET_MISSED	state
ddb_wru_per_order	15.0	WRU/order
ddb_base_wru_per_order	12.0	WRU/order
ddb_gsi_wru_per_order	3.0	WRU/order
ddb_replica_wru_per_order	0.0	WRU/order/replicas
ddb_replica_base_rwru_per_order	12.0	WRU/order
ddb_replica_gsi_wru_per_order	3.0	WRU/order
ddb_replica_base_usd_month	559.17216	USD/month
ddb_replica_gsi_usd_month	139.79304	USD/month
ddb_replica_exclusions_state	ZERO_PLANNING_INPUTS_REPRICE_BEFORE_TOPOLOGY_DECISION	state
ddb_topology_state	SINGLE_REGION_ORDINARY_WRU	state
ddb_topology_region_count	1.0	Regions
ddb_topology_base_usd	559.17216	USD/month
ddb_topology_gsi_usd	139.79304	USD/month
ddb_unequal_price_single_region_units	15.0	synthetic-cost-units
ddb_unequal_price_two_region_units	54.0	synthetic-cost-units
ddb_unequal_price_probe_state	OPERATION_SPLIT_PROVEN	state
ddb_monthly_usd	1122.141535	USD/month
ddb_billing_aggregate_wru_s	1800.0	WRU/s
ddb_max_hot_lane_wru_s	480.0	WRU/s
ddb_max_hot_lane_id	order	identifier
ddb_max_hot_lane_state	FEASIBLE	state
ddb_lane_headroom_wru_s	520.0	WRU/s
kinesis_planned_shards	13.0	shards
kinesis_put_payload_units	13219200000.0	synthetic-cost-units
kinesis_monthly_usd	1263.9698	USD/month
s3_monthly_usd	59.611731	USD/month
kinesis_hot_key_rps	1200.0	source-records/s
kinesis_hot_key_state	INFEASIBLE_SINGLE_KEY	state
kinesis_standard_required_Bps	10500000.0	B/s
kinesis_standard_capacity_Bps	26000000.0	B/s
kinesis_standard_read_state	AGGREGATE_FITS_MEASURE_PER_SHARD	state
kinesis_replay_spare_rps	3000.0	source-records/s
kinesis_drain_seconds	1500.0	s
kinesis_zero_drain_state	NO_SAFE_DRAIN_AT_ZERO_SPARE	state
kinesis_retention_margin_hours	-6.0	hours
kinesis_replay_retention_state	REPLAY_EXPIRED_RESTORE_REQUIRED	state
audit_year1_storage_gb_month	7800.0	GB-month/cumulative-cohort-period
audit_year1_storage_usd	179.4	USD/cumulative-cohort-period
audit_year1_retained_years	1.0	retained-years
audit_two_year_storage_gb_month	30000.0	GB-month/cumulative-cohort-period
audit_two_year_storage_usd	690.0	USD/cumulative-cohort-period
audit_two_year_retained_years	2.0	retained-years
audit_steady_storage_gb_month	28800.0	GB-month/year
audit_steady_storage_usd	662.4	USD/year
audit_steady_retained_years	2.0	retained-years
audit_year1_cost_per_retained_year_usd	179.4	USD/retained-audit-year
audit_two_year_cost_per_retained_year_usd	345.0	USD/retained-audit-year
audit_steady_cost_per_retained_year_usd	331.2	USD/retained-audit-year
audit_object_lock_usd_year	0.0	USD/year-scenario
audit_requests_usd_year	0.0	USD/year-scenario
audit_transitions_usd_year	0.0	USD/year-scenario
audit_retrieval_usd_year	0.0	USD/year-scenario
audit_kms_usd_year	0.0	USD/year-scenario
audit_export_usd_year	0.0	USD/year-scenario
audit_legal_review_usd_year	0.0	USD/year-scenario
audit_adjacent_scenario_total_usd_year	0.0	USD/year-scenario
audit_adjacent_scenarios_state	ZERO_PLANNING_INPUTS_REPRICE_BEFORE_DECISION	state
cqrs_transport_usd_month	94.392164	USD/month
cqrs_projection_index_usd_month	173.5992	USD/month
cqrs_cache_storage_usd_month	150.0	USD/month
cqrs_rebuild_replay_usd_month	8.67996	USD/month
cqrs_reconciliation_usd_month	2.679914	USD/month
cqrs_engineering_usd_month	900.0	USD/month
cqrs_oncall_usd_month	300.0	USD/month
cqrs_break_even_reads_per_write	75.462912	reads/write
cqrs_read_heavy_net_usd	-887.203238	USD/month
cqrs_mixed_net_usd	-2350.607558	USD/month
cqrs_write_heavy_net_usd	-2559.665318	USD/month
cqrs_zero_benefit_state	NO_ECONOMIC_WIN_ZERO_BENEFIT	state
cqrs_half_volume_break_even	142.908388	reads/write
cqrs_double_volume_break_even	41.740175	reads/write
cqrs_half_benefit_break_even	150.925825	reads/write
cqrs_double_fanout_break_even	80.744184	reads/write
cqrs_measured_p99_gain_ms	95.0	ms
cqrs_measured_freshness_s	2.0	s
ddb_eventual_rru	1.0	RRU/read
ddb_strong_rru	2.0	RRU/read
ddb_transactional_rru	4.0	RRU/read
marginal_platform_usd	2489.631616	USD/month
allocated_platform_usd	24489.631616	USD/month
fully_loaded_risk_adjusted_usd	29489.631616	USD/month
allocation_share_sum	1.0	ratio
lambda_contribution_percent	1.763656	percent
ddb_contribution_percent	45.072593	percent
kinesis_contribution_percent	50.76935	percent
s3_contribution_percent	2.3944	percent
half_traffic_shards	7.0	shards
double_traffic_shards	25.0	shards
double_fanout_work_records	83203200000.0	consumer-records/month
tenfold_burst_lambda_concurrency	48.0	concurrent-invocations
tenfold_burst_queue_records	4300800.0	records
replay_load_records	2592000000.0	records/month
ddb_lane_order_wru_per_order	4.0	WRU/order
ddb_lane_order_hot_wru_s	480.0	WRU/s
ddb_lane_order_state	FEASIBLE	state
ddb_lane_idempotency_wru_per_order	2.0	WRU/order
ddb_lane_idempotency_hot_wru_s	160.0	WRU/s
ddb_lane_idempotency_state	FEASIBLE	state
ddb_lane_outbox_wru_per_order	4.0	WRU/order
ddb_lane_outbox_hot_wru_s	400.0	WRU/s
ddb_lane_outbox_state	FEASIBLE	state
ddb_lane_sentinel_wru_per_order	2.0	WRU/order
ddb_lane_sentinel_hot_wru_s	80.0	WRU/s
ddb_lane_sentinel_state	FEASIBLE	state
ddb_lane_order_account_gsi_wru_per_order	1.0	WRU/order
ddb_lane_order_account_gsi_hot_wru_s	80.0	WRU/s
ddb_lane_order_account_gsi_state	FEASIBLE	state
ddb_lane_order_status_gsi_wru_per_order	1.0	WRU/order
ddb_lane_order_status_gsi_hot_wru_s	60.0	WRU/s
ddb_lane_order_status_gsi_state	FEASIBLE	state
ddb_lane_outbox_ready_gsi_wru_per_order	1.0	WRU/order
ddb_lane_outbox_ready_gsi_hot_wru_s	100.0	WRU/s
ddb_lane_outbox_ready_gsi_state	FEASIBLE	state
replay_efo_retrieval_gb	1267.34376	GB/month
replay_efo_retrieval_usd	18.629953	USD/month
replay_source_state	EXPIRED_S3_RESTORE_REINGEST	state
replay_source_available_rps	4000.0	source-records/s
replay_effective_rate_rps	3000.0	source-records/s
replay_rate_bottleneck	KINESIS_SPARE	state
replay_sink_capacity_source_rps	6535.947712	source-records/s
replay_archive_objects	3380.0	objects/month
replay_s3_source_gb	422.44792	GB/month
replay_s3_restore_request_usd	0.1859	USD/month
replay_s3_get_request_usd	0.001352	USD/month
replay_s3_retrieval_usd	4.224479	USD/month
replay_reingest_put_units	648000000.0	payload-units/month
replay_reingest_put_usd	10.692	USD/month
replay_post_reingest_read_mode	EFO	state
replay_post_reingest_read_capacity_rps	4000.0	source-records/s
replay_post_reingest_read_gb	1267.34376	GB/month
replay_post_reingest_read_usd	18.629953	USD/month
replay_post_reingest_read_capacity_state	CAPACITY_AVAILABLE	state
replay_consumer_invocations	19440000.0	invocations/month
replay_consumer_compute_usd	29.808052	USD/month
replay_sink_attempts	1982880000.0	attempts/month
replay_sink_projection_wru	198288000.0	WRU/month
replay_sink_projection_usd	139.79304	USD/month
replay_idempotency_rru	1982880000.0	RRU/month
replay_idempotency_usd	280.57752	USD/month
replay_reconciliation_attempts	19828800.0	attempts/month
replay_reconciliation_usd	6.771535	USD/month
replay_sink_demand_wru_s	918.0	WRU/s
replay_sink_capacity_headroom_wru_s	1082.0	WRU/s
replay_sink_capacity_state	CAPACITY_FEASIBLE	state
replay_drain_seconds	216000.0	s
replay_retained_probe_source_state	RETAINED_KINESIS_EFO	state
replay_retained_probe_effective_rate_rps	3000.0	source-records/s
replay_retained_probe_rate_bottleneck	KINESIS_SPARE	state
replay_retained_probe_drain_seconds	216000.0	s
replay_retained_probe_efo_usd	18.629953	USD/month
replay_retained_probe_s3_usd	0.0	USD/month
replay_retained_probe_reingest_usd	0.0	USD/month
replay_expired_probe_source_state	EXPIRED_S3_RESTORE_REINGEST	state
replay_expired_probe_efo_usd	18.629953	USD/month
replay_expired_probe_s3_usd	4.411731	USD/month
replay_expired_probe_reingest_usd	10.692	USD/month
replay_sink_limited_500_rate_rps	1633.986928	source-records/s
replay_sink_limited_500_drain_seconds	396576.0	s
replay_sink_limited_500_demand_wru_s	500.0	WRU/s
replay_sink_limited_500_state	SINK	state
replay_consumer_limited_rate_rps	1000.0	source-records/s
replay_consumer_limited_drain_seconds	648000.0	s
replay_consumer_limited_state	CONSUMER	state
replay_zero_spare_rate_rps	0.0	source-records/s
replay_zero_spare_drain_state	NO_SAFE_DRAIN	state
replay_zero_spare_drain_seconds	INFINITE	s
accepted_order_marginal_numerator_usd	497.926323	USD/numerator-period
accepted_order_marginal_usd	0.000008	USD/business-unit
accepted_order_allocated_numerator_usd	4897.926323	USD/numerator-period
accepted_order_allocated_usd	0.00008	USD/business-unit
accepted_order_fully_loaded_numerator_usd	5897.926323	USD/numerator-period
accepted_order_fully_loaded_usd	0.000096	USD/business-unit
accepted_order_denominator	61560000.0	business-units
execution_fill_marginal_numerator_usd	497.926323	USD/numerator-period
execution_fill_marginal_usd	0.000007	USD/business-unit
execution_fill_allocated_numerator_usd	4897.926323	USD/numerator-period
execution_fill_allocated_usd	0.000066	USD/business-unit
execution_fill_fully_loaded_numerator_usd	5897.926323	USD/numerator-period
execution_fill_fully_loaded_usd	0.00008	USD/business-unit
execution_fill_denominator	73872000.0	business-units
million_market_updates_marginal_numerator_usd	871.371066	USD/numerator-period
million_market_updates_marginal_usd	0.067235	USD/business-unit
million_market_updates_allocated_numerator_usd	8571.371066	USD/numerator-period
million_market_updates_allocated_usd	0.661371	USD/business-unit
million_market_updates_fully_loaded_numerator_usd	10321.371066	USD/numerator-period
million_market_updates_fully_loaded_usd	0.796402	USD/business-unit
million_market_updates_denominator	12960.0	business-units
active_account_month_marginal_numerator_usd	124.481581	USD/numerator-period
active_account_month_marginal_usd	0.00249	USD/business-unit
active_account_month_allocated_numerator_usd	1224.481581	USD/numerator-period
active_account_month_allocated_usd	0.02449	USD/business-unit
active_account_month_fully_loaded_numerator_usd	1474.481581	USD/numerator-period
active_account_month_fully_loaded_usd	0.02949	USD/business-unit
active_account_month_denominator	50000.0	business-units
projection_update_marginal_numerator_usd	373.444742	USD/numerator-period
projection_update_marginal_usd	0.000002	USD/business-unit
projection_update_allocated_numerator_usd	3673.444742	USD/numerator-period
projection_update_allocated_usd	0.000015	USD/business-unit
projection_update_fully_loaded_numerator_usd	4423.444742	USD/numerator-period
projection_update_fully_loaded_usd	0.000018	USD/business-unit
projection_update_denominator	246240000.0	business-units
retained_audit_year_marginal_numerator_usd	1493.778969	USD/numerator-period
retained_audit_year_marginal_usd	746.889485	USD/business-unit
retained_audit_year_allocated_numerator_usd	14693.778969	USD/numerator-period
retained_audit_year_allocated_usd	7346.889485	USD/business-unit
retained_audit_year_fully_loaded_numerator_usd	17693.778969	USD/numerator-period
retained_audit_year_fully_loaded_usd	8846.889485	USD/business-unit
retained_audit_year_denominator	2.0	business-units
scenario_half_marginal_usd	1269.295808	USD/month
scenario_half_accepted_order_marginal_usd	0.000008	USD/business-unit
scenario_half_accepted_order_allocated_usd	0.000151	USD/business-unit
scenario_half_accepted_order_fully_loaded_usd	0.000184	USD/business-unit
scenario_half_execution_fill_marginal_usd	0.000007	USD/business-unit
scenario_half_execution_fill_allocated_usd	0.000126	USD/business-unit
scenario_half_execution_fill_fully_loaded_usd	0.000153	USD/business-unit
scenario_half_million_market_updates_marginal_usd	0.068558	USD/business-unit
scenario_half_million_market_updates_allocated_usd	1.256829	USD/business-unit
scenario_half_million_market_updates_fully_loaded_usd	1.526891	USD/business-unit
scenario_half_active_account_month_marginal_usd	0.002539	USD/business-unit
scenario_half_active_account_month_allocated_usd	0.046539	USD/business-unit
scenario_half_active_account_month_fully_loaded_usd	0.056539	USD/business-unit
scenario_half_projection_update_marginal_usd	0.000002	USD/business-unit
scenario_half_projection_update_allocated_usd	0.000028	USD/business-unit
scenario_half_projection_update_fully_loaded_usd	0.000034	USD/business-unit
scenario_half_retained_audit_year_marginal_usd	380.788742	USD/business-unit
scenario_half_retained_audit_year_allocated_usd	6980.788742	USD/business-unit
scenario_half_retained_audit_year_fully_loaded_usd	8480.788742	USD/business-unit
scenario_double_marginal_usd	4930.303231	USD/month
scenario_double_accepted_order_marginal_usd	0.000008	USD/business-unit
scenario_double_accepted_order_allocated_usd	0.000044	USD/business-unit
scenario_double_accepted_order_fully_loaded_usd	0.000052	USD/business-unit
scenario_double_execution_fill_marginal_usd	0.000007	USD/business-unit
scenario_double_execution_fill_allocated_usd	0.000036	USD/business-unit
scenario_double_execution_fill_fully_loaded_usd	0.000043	USD/business-unit
scenario_double_million_market_updates_marginal_usd	0.066574	USD/business-unit
scenario_double_million_market_updates_allocated_usd	0.363642	USD/business-unit
scenario_double_million_market_updates_fully_loaded_usd	0.431158	USD/business-unit
scenario_double_active_account_month_marginal_usd	0.002465	USD/business-unit
scenario_double_active_account_month_allocated_usd	0.013465	USD/business-unit
scenario_double_active_account_month_fully_loaded_usd	0.015965	USD/business-unit
scenario_double_projection_update_marginal_usd	0.000002	USD/business-unit
scenario_double_projection_update_allocated_usd	0.000008	USD/business-unit
scenario_double_projection_update_fully_loaded_usd	0.00001	USD/business-unit
scenario_double_retained_audit_year_marginal_usd	1479.090969	USD/business-unit
scenario_double_retained_audit_year_allocated_usd	8079.090969	USD/business-unit
scenario_double_retained_audit_year_fully_loaded_usd	9579.090969	USD/business-unit
scenario_double_fanout_marginal_usd	3347.042662	USD/month
scenario_double_fanout_accepted_order_marginal_usd	0.000011	USD/business-unit
scenario_double_fanout_accepted_order_allocated_usd	0.000082	USD/business-unit
scenario_double_fanout_accepted_order_fully_loaded_usd	0.000099	USD/business-unit
scenario_double_fanout_execution_fill_marginal_usd	0.000009	USD/business-unit
scenario_double_fanout_execution_fill_allocated_usd	0.000069	USD/business-unit
scenario_double_fanout_execution_fill_fully_loaded_usd	0.000082	USD/business-unit
scenario_double_fanout_million_market_updates_marginal_usd	0.090391	USD/business-unit
scenario_double_fanout_million_market_updates_allocated_usd	0.684527	USD/business-unit
scenario_double_fanout_million_market_updates_fully_loaded_usd	0.819557	USD/business-unit
scenario_double_fanout_active_account_month_marginal_usd	0.003347	USD/business-unit
scenario_double_fanout_active_account_month_allocated_usd	0.025347	USD/business-unit
scenario_double_fanout_active_account_month_fully_loaded_usd	0.030347	USD/business-unit
scenario_double_fanout_projection_update_marginal_usd	0.000002	USD/business-unit
scenario_double_fanout_projection_update_allocated_usd	0.000015	USD/business-unit
scenario_double_fanout_projection_update_fully_loaded_usd	0.000018	USD/business-unit
scenario_double_fanout_retained_audit_year_marginal_usd	1004.112799	USD/business-unit
scenario_double_fanout_retained_audit_year_allocated_usd	7604.112799	USD/business-unit
scenario_double_fanout_retained_audit_year_fully_loaded_usd	9104.112799	USD/business-unit
scenario_replay_marginal_usd	3961.683055	USD/month
scenario_replay_accepted_order_marginal_usd	0.000013	USD/business-unit
scenario_replay_accepted_order_allocated_usd	0.000084	USD/business-unit
scenario_replay_accepted_order_fully_loaded_usd	0.000101	USD/business-unit
scenario_replay_execution_fill_marginal_usd	0.000011	USD/business-unit
scenario_replay_execution_fill_allocated_usd	0.00007	USD/business-unit
scenario_replay_execution_fill_fully_loaded_usd	0.000084	USD/business-unit
scenario_replay_million_market_updates_marginal_usd	0.10699	USD/business-unit
scenario_replay_million_market_updates_allocated_usd	0.701126	USD/business-unit
scenario_replay_million_market_updates_fully_loaded_usd	0.836157	USD/business-unit
scenario_replay_active_account_month_marginal_usd	0.003962	USD/business-unit
scenario_replay_active_account_month_allocated_usd	0.025962	USD/business-unit
scenario_replay_active_account_month_fully_loaded_usd	0.030962	USD/business-unit
scenario_replay_projection_update_marginal_usd	0.000002	USD/business-unit
scenario_replay_projection_update_allocated_usd	0.000016	USD/business-unit
scenario_replay_projection_update_fully_loaded_usd	0.000019	USD/business-unit
scenario_replay_retained_audit_year_marginal_usd	1188.504916	USD/business-unit
scenario_replay_retained_audit_year_allocated_usd	7788.504916	USD/business-unit
scenario_replay_retained_audit_year_fully_loaded_usd	9288.504916	USD/business-unit
scenario_replay_kinesis_usd	1351.93566	USD/month
scenario_replay_efo_retrieval_usd	74.519813	USD/month
scenario_replay_consumer_compute_usd	119.232207	USD/month
scenario_replay_sink_projection_usd	559.17216	USD/month
scenario_replay_idempotency_usd	1122.31008	USD/month
scenario_replay_reconciliation_usd	27.086141	USD/month
scenario_one_replica_marginal_usd	3188.596816	USD/month
scenario_one_replica_accepted_order_marginal_usd	0.00001	USD/business-unit
scenario_one_replica_accepted_order_allocated_usd	0.000082	USD/business-unit
scenario_one_replica_accepted_order_fully_loaded_usd	0.000098	USD/business-unit
scenario_one_replica_execution_fill_marginal_usd	0.000009	USD/business-unit
scenario_one_replica_execution_fill_allocated_usd	0.000068	USD/business-unit
scenario_one_replica_execution_fill_fully_loaded_usd	0.000082	USD/business-unit
scenario_one_replica_million_market_updates_marginal_usd	0.086112	USD/business-unit
scenario_one_replica_million_market_updates_allocated_usd	0.680248	USD/business-unit
scenario_one_replica_million_market_updates_fully_loaded_usd	0.815278	USD/business-unit
scenario_one_replica_active_account_month_marginal_usd	0.003189	USD/business-unit
scenario_one_replica_active_account_month_allocated_usd	0.025189	USD/business-unit
scenario_one_replica_active_account_month_fully_loaded_usd	0.030189	USD/business-unit
scenario_one_replica_projection_update_marginal_usd	0.000002	USD/business-unit
scenario_one_replica_projection_update_allocated_usd	0.000015	USD/business-unit
scenario_one_replica_projection_update_fully_loaded_usd	0.000018	USD/business-unit
scenario_one_replica_retained_audit_year_marginal_usd	956.579045	USD/business-unit
scenario_one_replica_retained_audit_year_allocated_usd	7556.579045	USD/business-unit
scenario_one_replica_retained_audit_year_fully_loaded_usd	9056.579045	USD/business-unit
scenario_one_replica_topology_state	GLOBAL_TABLE_ALL_REGIONS_BASE_RWRU_GSI_WRU	state
scenario_one_replica_region_count	2.0	Regions
scenario_one_replica_base_rwru_usd	1118.34432	USD/month
scenario_one_replica_gsi_wru_usd	279.58608	USD/month

Task 10 interpretation contract

Audit retention uses monthly cohorts: year-one and year-two cumulative GB-month exposure and the 24-month steady-state annual exposure are priced before division by retained business-year cohorts. Thus retention changes both the numerator and denominator. The baseline S3 component is the steady-state monthly_ingest * retention_months inventory. Object Lock, requests, transitions, retrieval, KMS, export and legal review are separate typed annual scenario inputs. Their dated planning values are zero and explicitly classified as requiring repricing before a decision; they are not implicitly free or hidden in the storage rate.

The two-task Fargate row is a price-only basket. Capacity parity uses measured service seconds and events/batch, average-to-active and active-to-peak conversion, peak headroom, HA minimum, scaling lag, and a required-task function inside each fleet-cost step. The fixed-five-task price equality is a counterfactual candidate only: its derived peak needs 85 tasks, whose price is not equal to Lambda. The bounded stepwise solve reports no capacity-feasible price crossing and the plug-back exposes the positive fleet-price gap.

Batch expected extra attempts per original batch and the conditional whole-batch poison coupling are separate quantities. CQRS names transport, projection/index, cache/storage, rebuild/replay, reconciliation, engineering, on-call and other fixed burden, and derives the zero-benefit branch before division. Half/double traffic, doubled fan-out and replay each reprice all components and all six unit metrics; top-key share, DynamoDB lane target, Kinesis retention and global-table replicas are typed, sensitivity-tested inputs. Task 6's 15 logical WRUs are decomposed through one frozen typed descriptor into four base-table and three GSI physical lanes. With n added global-table replica Regions, all n+1 Regions bill base-table replicated WRUs and ordinary GSI WRUs (C116; A127); single-Region billing remains ordinary WRUs. Replay selects its source first: retained records price EFO reads, while expired records price S3 restore and retrieval, Kinesis re-ingest, and the selected post-reingest read mode. The canonical expired mode is EFO, so restored records incur EFO GB retrieval and an explicit post-read capacity gate before consumers. It then prices consumer compute, projection writes, idempotency/duplicate attempts and reconciliation, and derives sink demand and drain from the minimum available source/post-read/consumer/stream/spare/sink rate.