Move to production

Prepare Pinecone indexes for production with best practices for project structure, security, scaling, API keys, and reliability across your workloads.

Deploy Pinecone BYOC in your own AWS, GCP, or Azure account for data sovereignty, network isolation, and regional data residency requirements.

Handle Pinecone API errors with retry logic, exponential backoff, and best practices for 4xx client errors, 5xx server errors, and rate limit responses.

Monitor Pinecone index performance metrics (query latency, throughput, and errors) in the Pinecone console or via Prometheus and Datadog.

Build a GitHub Actions CI/CD workflow with Pinecone Local to run automated integration tests against an in-memory emulator without touching production.