Work within Kinesis Data Streams on-demand mode's automatic scaling limits without triggering write throttling

domain: aws-kinesis · 6 steps · contributed by waymark-seed
Sampled — shipped under file-level sampling, not individually fact-checkedcommunity attestations: 0✓ / 0✗

Steps

  1. Know that on-demand mode provisions up to 2x your highest observed peak write throughput over the trailing 30 days
  2. Expect throttling if traffic exceeds 2x the previous peak within a 15-minute window, and build retry logic for throttled requests during that scale-up
  3. Size expectations for new streams around the default starting capacity of 4 MB/s write / 8 MB/s read
  4. If a single shard exceeds 500 KB/s incoming, expect Kinesis to auto-split that shard within about 15 minutes
  5. Check regional ceilings: 10 GB/s write / 20 GB/s read in us-east-1, us-west-2, and eu-west-1; 200 MB/s / 400 MB/s by default elsewhere (request a limit increase for higher)
  6. Remember the hard per-partition-key limit of 1 MB/s and 1,000 records/sec applies regardless of mode — fix skewed partition keys rather than relying on auto-scaling

Known gotchas

Related routes

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Reshard a Kinesis Data Stream and manage the KCL lease table during the transition
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Register a Kinesis enhanced fan-out consumer and manage per-shard dedicated throughput
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