PROFESSIONAL • Platform Delivery

Endpoint Design Lab for analytics ingestion service #26

This lesson targets stabilize async processing in a realistic analytics ingestion service workflow. You will practice commands: docker build -t api-service . | kubectl apply -f deployment.yaml | snyk test. The code example is specific to backend API engineering tasks for this lesson objective.

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If this never completes: start PostgreSQL, check DATABASE_URL and DIRECT_URL in .env, run npx prisma db push. Optional: set SKIP_RUNTIME_CATALOG_SEED=1 to skip heavy catalog seed while debugging.