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Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 Miguel Ángel
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03ed14615a |
feat(aws-lambda): run chunks on an optional arm64 image function (#6065)
* feat(aws-lambda): run chunks on an optional arm64 image function A new VideoImageUri parameter adds an arm64 container-image function that only renders chunks. Plan, audio and assemble stay on the x86 ZIP function, so audio encodes are unchanged. Empty (the default) deploys exactly as before. The reserved concurrency moves to whichever function renders the chunks. * docs(aws-lambda): the template tags both render functions * fix(aws-lambda): nest the arm64 video function so sam deploy needs no image repository sam deploy refuses a template with any top-level image function unless it is given an image repository, even when that function's Condition is false, so every deploy of the template failed. The video function now lives in video-function.yaml, a nested stack created only when VideoImageUri is set. The release ships it beside template.yaml and the CLI stages both. A new workflow runs the CLI's sam deploy argv against the template with fake credentials and requires it to reach the first upload. * fix(aws-lambda): run the plan on the arm64 video function with the chunks it plans * refactor(cli): name the staged template directory instead of commenting it * docs(aws-lambda): say the arm64 image runs the plan as well as the chunks |
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Miguel Ángel
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2a14cbc924 |
perf(aws-lambda): size distributed renders from account concurrency limits (#5813)
* perf(aws-lambda): run chunks through a Distributed Map to lift the 40-chunk cap The inline Map runs at most 40 chunk renders at once. Both state machine definitions (CDK and SAM) now use a Distributed Map with STANDARD child executions, capped at the function's reserved concurrency so chunks past it queue instead of being throttled. Progress reads each chunk's child execution history so frames, cost and chunk errors still show up. * fix(aws-lambda): retry Lambda throttles for minutes and stop on oversized chunks A throttled task used to burn its four catch-all retries in about 30 s. It now gets its own jittered backoff of several minutes, because another render on the same function can still hold the reserved slots. Plan treats CHUNK_EXCEEDS_WORKER_TIMEOUT as terminal in both definitions. * chore(aws-lambda): trim stack comments to keep the comment share flat * fix(aws-lambda): keep render --wait working at hundreds of chunks Progress polls read the chunk Map Run's counts (one DescribeMapRun) instead of every child execution's history, take exact chunk frames and cost from the Map output once it exits, and read failed children only when the counts show a failure. The SDK client retries throttled calls up to 8 times with backoff. * feat(aws-lambda): size each render's concurrency to the account instead of a fixed 8 * fix(lambda): keep the concurrency SDK external in published modules * fix(cli): keep an existing stack's reserved concurrency on redeploy Redeploying without --concurrency sent ReservedConcurrency=-1, which removed the cap of 8 that earlier CLI versions reserved by default and stopped recording it in the state file. The override is now left out when the flag is omitted, so SAM keeps the stack's current value (a new stack still gets the template's unreserved default). The state file records the deployed value, and deploy prints the kept reservation. * fix(aws-lambda): keep progress working for callers without DescribeMapRun Callers whose IAM policy came from an earlier `lambda policies user` lack states:DescribeMapRun, so reading a running Distributed Map threw AccessDeniedException out of `lambda progress` and `render --wait` while the render itself went on to succeed. getRenderProgress now catches only that error around the map-run read, returns the parent snapshot (status, plan and assemble progress) and adds a warning to re-apply the policy, which both commands print. Other errors still throw. * fix(cli): let the documented deploy policy drop a reserved concurrency When a redeploy removes a function's reserved concurrency, CloudFormation calls lambda:DeleteFunctionConcurrency. The policy printed by `lambda policies role|user` granted only PutFunctionConcurrency, so the update failed and rolled back. Grant it, and pin it with states:DescribeMapRun in the required-actions test. * fix(aws-lambda): read smoke chunk hashes from the Distributed Map output With chunks in a Distributed Map, their task results live in child executions, so the smoke gate's chunk-hash check found 0 chunks in the parent history and failed every v1/v2 comparison. Read Chunks[] from the RenderChunks / RenderChunksV2 MapStateExited output instead, as getRenderProgress does. The stack this script deploys only has the Distributed Map, so the inline-Map path is gone. * fix(producer): cap a pinned chunk size at the worker concurrency, not 16 With --chunk-size or --target-chunk-frames and no --max-parallel-chunks, the plan still capped the render at 16 chunks however many workers the account allowed, so --chunk-size 30 on a 60 s render gave 16 chunks of 113 frames. The cap is now one wave across the worker concurrency, as the --max-parallel-chunks docs say; 16 remains when the concurrency is unknown. * feat(cli): remove a stack's reserved concurrency with --concurrency=none Since an omitted --concurrency now keeps the stack's reservation, there was no CLI way back to the unreserved default. --concurrency=none sends ReservedConcurrency=-1, the state file records the stack as unreserved and deploy says the reservation was removed. Positive N and an omitted flag behave as before; any other value is rejected instead of being silently ignored. * chore(aws-lambda): raise the package size budget for account-sized concurrency Measured with pnpm@10.17.1 pack after rebasing on main with the S3 assembly change: 67,763 packed / 244,685 unpacked; the budget is the check's own 5% headroom over that. |
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James Russo
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17a2a00ed5 |
feat(cloud): default distributed plans to v2 (#3311)
* feat(cloud): default distributed plans to v2 * fix(cloud): address plan v2 review feedback * fix(examples): document explicit v2 samples |
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James Russo
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5bf61d6df0 |
feat(aws-lambda): support plan protocol v2 (#2789)
* feat(aws-lambda): support plan protocol v2 * fix(aws-lambda): align SAM v2 terminal errors |
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James Russo
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aa58ebc048 |
feat(lambda): add real-AWS smoke + benchmark script (#908)
* feat(lambda): add real-AWS smoke + benchmark script
Phase 6.3 of the distributed rendering plan
(DISTRIBUTED-RENDERING-PLAN.md §11 Phase 6a). Local bash script that
deploys the PR 6.2 SAM template to your own AWS account, renders a
fixture composition through the Step Functions state machine at several
chunk counts, PSNR-compares each output against the in-process
baseline, and tears the stack down.
This is the gate that proves the architecture works on real Lambda
infrastructure. After it runs green and the numbers are good, Phase 6b
(CLI, CDK, docs) can proceed with confidence.
Script lives at examples/aws-lambda/scripts/smoke.sh. Defaults:
- fixture: mp4-h264-sdr
- chunk_counts: 2,4,8
- psnr-threshold: 50 dB
- region: us-east-1
- stack-name: hyperframes-lambda-smoke-<timestamp>
AWS credentials come from the standard resolution chain (env vars,
~/.aws/credentials, SSO, IMDS). Pin a specific profile via --profile or
AWS_PROFILE; the script doesn't ship a default.
Workflow:
1. Pre-flight: verify aws/sam/bun/ffmpeg/jq/zip on PATH; check
credentials via sts:GetCallerIdentity.
2. Build the PR 6.1 ZIP and run verify:zip-size.
3. sam validate --lint + sam deploy under a per-run stack name.
4. Zip the fixture's src/ and upload to the render bucket.
5. For each chunk count, start a Step Functions execution, poll for
completion (25-min cap), download the output mp4 and the execution
history JSON, ffmpeg-psnr against the LFS-tracked in-process
baseline, and append to results.json.
6. Gate on the PSNR threshold.
7. Empty the bucket + sam delete (unless --keep-stack).
Outputs land under ./lambda-smoke-artifacts/:
- results.json (chunkCount x wallClockMs x psnrAvgDb)
- renders/N<N>-output.mp4
- renders/N<N>-history.json (full Step Functions execution history)
Per-run stack name with concurrency-safe AWS resource isolation. Run
multiple smokes in parallel without races; teardown guards against
stale stacks via cleanup_and_exit on every failure path.
Distinction from CI: this is a maintainer-run gate, not part of regular
CI. The architecture's per-PR safety net is the local Docker-based
BeginFrame probe (PR 6.1) and the upcoming Lambda RIE smoke mode (PR
6.6). No GitHub Actions / OIDC / cross-account secrets required.
This is part of the 8-PR Phase 6 stack; PR 6.3 of 8 — the last PR of
Phase 6a (validation). Phase 6b (CLI + CDK + docs) starts once 6.3's
benchmark numbers come back.
* fix(lambda): address PR 880 review feedback
- Document wall-clock methodology bias inline (eval.sh header + README):
local timing includes bun + tsx + harness scaffolding while Lambda
timing measures pure SFN execution, so "speedup" is end-to-end CLI
experience, not renderer-vs-renderer.
- Add --iterations N (default 1) with median wall-clock reporting via
awk-side median. Cold-start variance is ±5-10s per chunk; single-
sample readings made the PR-body speedup table not ground truth.
- Add --reserved-concurrency flag to both scripts; default still 16 but
no longer hardcoded. Pass-through to ReservedConcurrency CFN param.
- README: cost-per-pass estimate for both scripts.
- Replace `sed -n '2,30p' "$0"` help with usage() heredoc in both
scripts — fragile to header reflows and didn't survive the comment
expansion this commit adds anyway.
- eval.sh RMS-level parser: add a third fallback (`RMS level:` with no
`dB` suffix) for older ffmpeg builds where astats predates the unit
tag. Word-boundary guards keep `RMS peak level` from being eaten.
* docs(lambda): drop internal plan-doc + Rio refs from smoke/eval scripts
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