* 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
* feat(lambda): add SAM template and sample events for AWS deployment
Phase 6.2 of the distributed rendering plan (DISTRIBUTED-RENDERING-PLAN.md
§15). Reference SAM template for deploying HyperFrames distributed
rendering on AWS — one Lambda function in three roles, choreographed by
a Step Functions standard workflow with a Map state for parallel chunk
rendering.
Resources created by the template:
- Lambda function pointing at the Phase 6.1 ZIP
- Step Functions state machine: Plan -> Map(N) RenderChunk -> Assemble
- S3 bucket for plan tarballs, chunk outputs, final mp4
- IAM role for the state machine
- CloudWatch alarm guarding against runaway chunk invocations
Retry policy: 4 attempts, 2s initial, 2x backoff, max 60s, with the
typed non-retryable error codes from plan §9.3 explicitly opted out.
CodeUri points at packages/aws-lambda/dist/handler.zip; sam deploy
resolves the local path and uploads to a SAM-managed bucket on first
deploy.
Validated: sam validate --lint passes against the template.
This is part of the 8-PR Phase 6 stack; PR 6.2 of 8.
* fix(lambda): address PR 879 review feedback
- Add CloudWatch alarms for Lambda Errors metric (5min window, threshold 1)
and Step Functions ExecutionsFailed metric. The existing runaway-
invocations alarm catches too-many-calls but missed silent per-chunk
failures and retry-exhaustion.
- Document VersioningConfiguration: Suspended tradeoff inline. Adopters
treating the final mp4 as user-keepable should bump to Enabled.
- Cost-allocation Tags on RenderBucket + Lambda Globals.
- Lambda Tracing: Active so X-Ray spans don't terminate at the SF→Lambda
boundary (the state machine already had tracing).
- State-machine top-level TimeoutSeconds: 3600 as defensive ceiling on
the whole choreography — catches Plan-retry storms before they hit
individual task budgets.
- AssertChunkCount Choice state: if Plan ever returns ChunkCount=0 the
Map would silently iterate zero times and Assemble would receive an
empty ChunkS3Uris[] producing an empty output. Fail-fast with typed
PLAN_TOO_LARGE error instead.
- Architecture comment: explicit x86_64-only constraint from
@sparticuz/chromium so adopters trying Graviton don't get bitten.
* docs(lambda): drop internal plan-doc refs from SAM example + template
James Russo