Files
hyperframes/packages/aws-lambda
Miguel Ángel da4386f0d0 perf(aws-lambda): cloud renders plan without reading video bytes and start chunks sooner (#6194)
* perf(engine): a remote source's tail decodes run many at a time, not one per half-core

* perf(producer): the plan logs where its extract stage spends its time

* perf(engine): a window that ends inside its source takes its frame count without a decode

* test(engine): pin the tail-decode slot test to the windows that decode

* style(engine): format the tail-probe window check

* test(engine): deferred counts match extraction on a B-frame NTSC source; VFR is not deferred

* style(engine): format the tail-probe tests

* perf(aws-lambda): a site stores each video's ffprobe JSON, and the plan reads it instead of probing

* test(aws-lambda): a site stores and hands out each video's probe

* style(aws-lambda): format the probe-facts upload and tests

* perf(engine): a site's stored probe also holds the final-frame timestamp the plan would probe for

* test(engine): drop an unused import

* test(aws-lambda): the stored probe holds the ffprobe JSON and the final frame

* test(aws-lambda): the stored probe holds the ffprobe JSON and the final frame

* perf(producer): a distributed chunk encodes while it captures

* perf(producer): the audio task logs where its mix spends its time

One line per audio stage: prepare, groups, mix, master, encode and the peak check, in ms.

* perf(engine): locked warmup ticks stop sleeping once the page is ready

* perf(engine): a window reaching a stored video's end takes its frame count from stored facts

* fix(producer): the cloud audio task logs its phases

* perf(engine): stored facts keep the last packet length so late-start windows skip the tail decode

* fix(engine): a probe spawns without waiting when no stored facts are declared

* chore(aws-lambda): shorten comments over the line limit

* fix(engine): warmup keeps pacing after a failed tick; stored final frames check ffprobe major

* test(engine): the recorded ffprobe major matches the build's own banner

* test(engine): the version-banner probes go through a named binary like the other spawns
2026-10-24 14:30:16 +00:00
..
2026-10-24 08:51:29 +00:00

@hyperframes/aws-lambda

AWS Lambda adapter for HyperFrames distributed rendering. Ships three things together:

  1. The Lambda handler that wraps the OSS plan / renderChunk / assemble primitives behind a single dispatch boundary Step Functions can drive (src/handler.ts).
  2. A client-side SDK — renderToLambda, getRenderProgress, deploySite, plus validateDistributedRenderConfig and computeRenderCost (src/sdk/).
  3. An aws-cdk-lib L2 construct (HyperframesRenderStack) that provisions the same topology as examples/aws-lambda/template.yaml inside an adopter's own CDK app (src/cdk/).

The handler ZIP and the SAM template still drive a maintainer-run real-AWS smoke flow; the SDK + CDK are the supported public surface for adopters.

Architecture

┌──────────────────────────────────────────────────────────────────┐
│ Step Functions state machine                                     │
│   Plan → Map(N) RenderChunk → Assemble                           │
└──────────────────────────────────────────────────────────────────┘
                              │ dispatches by event.Action
                              ▼
┌──────────────────────────────────────────────────────────────────┐
│ One Lambda function (this package's `dist/handler.zip`)          │
│   handler.mjs                                                    │
│     ├─ Action="plan"        → @hyperframes/producer/distributed  │
│     ├─ Action="renderChunk" → @hyperframes/producer/distributed  │
│     └─ Action="assemble"    → @hyperframes/producer/distributed  │
│   bin/ffmpeg                — ffmpeg-static                      │
│   node_modules/@sparticuz/chromium/ — Lambda-optimised Chromium  │
└──────────────────────────────────────────────────────────────────┘
                              │ pure functions over local paths
                              ▼
┌──────────────────────────────────────────────────────────────────┐
│ S3 bucket — v1 plan tar or v2 manifest/blobs + chunks + output  │
└──────────────────────────────────────────────────────────────────┘

The handler downloads inputs from S3 into /tmp, calls the OSS primitive, uploads outputs back to S3, and returns a small JSON result that fits inside Step Functions' history budget (under 200 bytes per chunk).

Plan transport selection

Plan v2 is the default for new renders. When planProtocol is omitted, renderToLambda sends an explicit PlanProtocol: "v2" so the SDK and the deployed state machine agree:

await renderToLambda({
  // ...bucket, state machine, project, and config...
});

V2 never overloads PlanS3Uri. The planner returns PlanV2ManifestS3Uri and PlanV2ArtifactS3Prefix; chunk workers fetch only manifest-selected chunk artifacts, while the assembler fetches its own metadata and audio subset. Blobs are immutable SHA-256-addressed objects, verified on upload and download, and the manifest is published last. Unknown protocols and digest mismatches are terminal Step Functions errors. The monolithic v1 transport remains available as deprecated compatibility by passing planProtocol: "v1" explicitly.

Upgrade order

This default changes application behavior and requires a coordinated infrastructure upgrade. Before upgrading an application that calls renderToLambda:

  1. Pause new renders and let existing Step Functions executions drain.
  2. Redeploy the Lambda handler and SAM template or CDK construct from the same new package version.
  3. Resume renders, then upgrade the application/SDK dependency.

A site is a sites/<id>/files.json file list that an older stack cannot read, under either plan protocol. Before it uploads anything, renderToLambda reads the state machine definition (states:DescribeStateMachine) and fails with STACK_TOO_OLD when the stack predates that format. If infrastructure cannot be redeployed first, keep the application on its previous package version until the redeploy is complete. Site ids from earlier versions keep working after the redeploy: when sites/<id>/files.json is missing, the render uses that site's project.tar.gz.

Chrome runtime

The package supports two Chromium sources:

Source Default Size When to pick it
@sparticuz/chromium yes ~70 MiB compressed Lambda. Decompresses into /tmp at runtime; the rest of the ecosystem already uses it for headless-Chrome-in-Lambda.
Bundled chrome-headless-shell no ~140 MiB Fallback. Used if @sparticuz/chromium ever drops HeadlessExperimental.beginFrame support.

Pick the source at build time:

bun run --cwd packages/aws-lambda build:zip
bun run --cwd packages/aws-lambda build:zip -- --source=chrome-headless-shell

The handler reads HYPERFRAMES_LAMBDA_CHROME_SOURCE at boot. The build script sets that env var via Lambda function configuration in examples/aws-lambda/template.yaml.

BeginFrame regression guard

HyperFrames' renderer drives Chrome via the CDP HeadlessExperimental.beginFrame command — same path the K8s deploy uses. The Lambda adapter assumes that @sparticuz/chromium's chrome-headless-shell build honours BeginFrame. To prove it (and re-prove it on every release), the package ships a Docker probe:

# Build the Lambda-like container and run the probe.
bun run --cwd packages/aws-lambda probe:beginframe:docker

The probe boots @sparticuz/chromium inside public.ecr.aws/lambda/nodejs:22 and asserts CDP beginFrame with screenshot: true returns a PNG buffer. Exit code 0 = green; non-zero = fall back to bundling chrome-headless-shell directly via --source=chrome-headless-shell.

Building the ZIP

bun install                                          # at the monorepo root
bun run --cwd packages/aws-lambda build:zip          # → packages/aws-lambda/dist/handler.zip
bun run --cwd packages/aws-lambda verify:zip-size    # CI gate

The build script bundles src/handler.ts via esbuild, stages @sparticuz/chromium and puppeteer-core under node_modules/, copies ffmpeg-static into bin/, and zips the result. The unzipped layout is designed to extract cleanly into Lambda's /var/task/.

verify:zip-size enforces:

  • Unzipped ≤ 248 MiB (in-house budget; Lambda hard ceiling is 250 MiB unzipped — AWS docs label this "250 MB" but use binary mebibytes)
  • Zipped ≤ 150 MiB (in-house budget; Lambda has no hard zipped cap for S3-deployed functions)

CI fails the PR if either is exceeded.

Running tests

bun run --cwd packages/aws-lambda test               # unit tests (no Chrome)
bun run --cwd packages/aws-lambda probe:beginframe   # local probe (Linux only)

Using the SDK

After deploying the stack (via the SAM template, CDK construct below, or your own CFN of choice), drive renders from Node:

import { deploySite, getRenderProgress, renderToLambda } from "@hyperframes/aws-lambda";

// One-time upload per project version.
const site = await deploySite({
  projectDir: "./my-composition",
  bucketName: "hyperframes-render-bucket",
});

// Start a render. Returns immediately — does NOT poll.
const handle = await renderToLambda({
  siteHandle: site,
  bucketName: site.bucketName,
  stateMachineArn: "arn:aws:states:us-east-1:123:stateMachine:hyperframes-render",
  config: {
    fps: 30,
    width: 1920,
    height: 1080,
    format: "mp4",
    chunkSize: 240,
    maxParallelChunks: 16,
    runtimeCap: "lambda",
  },
});

// Poll progress + cost on your own cadence.
const progress = await getRenderProgress({ executionArn: handle.executionArn });
console.log(progress.overallProgress, progress.costs.displayCost);
if (progress.status === "SUCCEEDED" && progress.outputFile) {
  console.log("Render landed at", progress.outputFile.s3Uri);
}

renderToLambda validates the config client-side via validateDistributedRenderConfig and throws a typed InvalidConfigError before the Step Functions execution starts, so shape errors surface synchronously instead of as opaque ExecutionFailed results.

getRenderProgress reports an approximate per-render cost (accruedSoFarUsd plus a formatted displayCost) derived from Lambda billed-duration × memory × the us-east-1 on-demand rate plus the Step Functions transition price. The math is documented in src/sdk/costAccounting.ts; numbers are best-effort and exclude S3 transfer.

Using the CDK construct

import { App, Stack } from "aws-cdk-lib";
import { HyperframesRenderStack } from "@hyperframes/aws-lambda/cdk";

const app = new App();
const stack = new Stack(app, "MyApp");
const render = new HyperframesRenderStack(stack, "Render", {
  // optional: reservedConcurrency: 8,
  // optional: lambdaMemoryMb: 10240,
  // optional: chromeSource: "sparticuz",
});

// Re-export so an adopter app can wire dashboards / SNS topics.
new CfnOutput(stack, "RenderBucketName", { value: render.bucket.bucketName });
new CfnOutput(stack, "StateMachineArn", { value: render.stateMachine.stateMachineArn });

aws-cdk-lib and constructs are optional peer dependencies: SDK-only consumers don't pull them at runtime. The construct itself imports from @hyperframes/aws-lambda/cdk.

What's still ahead

  • hyperframes lambda CLI (deploy / sites create / render / progress / destroy) — PR 6.5.
  • IAM bootstrap subcommand (policies role | user | validate) — PR 6.9.
  • Lambda-local regression harness (--mode=lambda-local) — PR 6.6.
  • Adopter-facing migration guide — PR 6.8.