* perf(aws-lambda): small-chunk cloud renders stitch their output in parallel
When every chunk's payload is under S3's 5 MiB part minimum (typical for short 4K chunks), the assemble step could not copy any part server-side and pulled the whole output through one Lambda's network link. Those range-only parts now go to parallel invocations of the warm function that just rendered the chunks, about 32 MiB each and never more at once than the stack's reserved concurrency allows. The output bytes are unchanged.
* fix(aws-lambda): a throttled stitch helper builds its parts in the assemble instead
Another render can hold the stack's reserved concurrency while this one assembles, so a helper invocation may be refused. The assemble now builds that batch itself, logs it, and counts it in assemble_stages; the helper's error type is kept as the error name. Comments trimmed back to each file's share at the base.
* chore(aws-lambda): raise the package size budget to the measured size plus headroom
The parallel stitch helpers add about 1.7 KB packed and 9.9 KB unpacked; the new budget is the measured size times the checker's own 1.05 headroom.
* 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
Miguel Ángel