Building the Next Generation on Temporal
summary
Apollo standardizes on Temporal to run durable, auditable workflows inside Azure with workers on Kubernetes, Terraform modules for IAC, RBAC and audit logging, and centralized observability. A legacy ETL with ~100 jobs and 2M monthly executions migrates to production in three weeks; 95% of code generated with Claude and OpenAI and 30 days to production capability proves out. Platform hits 15M actions/month, runs across ~160 namespaces, and uses CI/CD templates to prevent runaway retries and enable self‑service.
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chapters (8)
- 0:00Introduction and Apollo context
- 3:46Challenges and Temporal adoption
- 10:15Building the foundation in 30 days
- 15:48Phased expansion strategy
- 21:24Observability and monitoring setup
- 25:08AI-assisted ETL migration case
- 29:52Self-service and future scaling
- 32:44Key takeaways and Q&A
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