Support for RateLimiter in Beam Remote Model Handler

[tarun-google]

Custom Scikit-learn model deployed through VertexAI

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[gemini-code-assist]

Summary of Changes

Hello @tarun-google, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a new capability for external rate limiting within Apache Beam, primarily through the EnvoyRateLimiter component. This allows Beam pipelines to effectively manage their interaction rates with external services, such as machine learning inference endpoints on platforms like Vertex AI, by integrating with an Envoy Rate Limit Service. The changes ensure that pipelines can respect service quotas and prevent overwhelming downstream systems, improving stability and reliability.

Highlights

• Envoy Rate Limiter Component: Introduces a new EnvoyRateLimiter component that integrates with an external Envoy Rate Limit Service (RLS) via gRPC, providing a robust mechanism for controlling request rates to external services.
• ML Inference Integration: The RemoteModelHandler in apache_beam.ml.inference.base now supports an optional RateLimiter instance, allowing users to apply global rate limits to their ML inference requests.
• Example Pipelines: Two new example pipelines have been added: one demonstrating general usage of the EnvoyRateLimiter within a DoFn, and another showcasing its application for rate-limited inference calls to Vertex AI.
• Metrics and Retries: The EnvoyRateLimiter includes built-in metrics for tracking requests, allowed/throttled counts, RPC errors, and latency, along with retry logic and exponential backoff with jitter for OVER_LIMIT responses.

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[tarun-google]

R: @damccorm @jrmccluskey

[github-actions]

Stopping reviewer notifications for this pull request: review requested by someone other than the bot, ceding control. If you'd like to restart, comment assign set of reviewers

[damccorm]

@jrmccluskey I'll defer to you on this one