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Orchestrating Data Pipelines at Scale with Temporal

Talkat Replay 2026 · 2026-05-05..05-07· [data-engineering, distributed-systems]
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Fivetran runs over 5 million daily syncs on Temporal workflows, migrates from regionally fragmented schedulers to a worker-pool model, and cuts job startup latency from 25s to 5s. The migration uses Temporal Cloud, a custom operator for long‑running jobs and bin‑packing, and a custom gRPC gateway for hybrid deployments that authenticates agents and routes requests by namespace. Metrics tracked include schedule‑start latency, task depth, worker utilization and cost dashboards; gradual rollout and namespace splitting resolve non‑determinism and scaling issues.

AI-written summary · about

  1. 0:00Introduction to talk
  2. 1:06Fiverr’s data platform overview
  3. 7:15Why Fiverr adopted Temporal
  4. 9:48Moving from legacy schedulers
  5. 17:12Implementation phases of Temporal
  6. 21:01Pipeline workflow design
  7. 27:21Handling complex pipelines
  8. 30:53Metrics and monitoring during migration
  9. 32:19Challenges and lessons learned
  10. 35:10Hybrid deployment with Temporal
  11. 38:40Future plans and next steps
  12. 40:08Q&A session
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