Tag: #workflow-engine
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 3 posts
Temporal Worker Versioning GA — The Deploy Problem Replay Created, and the Third Answer After Two Discarded Generations
Durable execution engines like Temporal survive failures by replaying an event history — and it is precisely that replay which makes shipping new code while workflows are still running the hardest problem in this model.
2026-07-17 · 13 min read #distributed-systems#durable-execution#temporal#workflow-engine#reliabilityAfter Airflow 2 EOL — The Real Work List for Going 2 to 3, and Where 3.x Stands at 3.3
Apache Airflow 2 passed EOL on April 22, 2026, and it no longer receives security patches. But the road from 2 to 3 is not a pip upgrade — it is an architecture change. Direct metadata-DB access from workers disappears,
2026-07-17 · 15 min read #data-engineering#airflow#workflow-engine#migrationDurable Execution & Workflow Engines 2026 — Temporal, Inngest, Trigger.dev, Hatchet, Restate, DBOS, Step Functions Deep Dive (Infrastructure for the Long-Running AI Agent Era) ♪ Listenable
In 2026, workflow engines sit on top of two massive waves — first, long-running AI agents (LLM jobs that run for minutes to days) have effectively mandated durable execution; second, Postgres is becoming the backbone of
2026-05-25 · 32 min read #durable-execution#workflow-engine#temporal#inngest#trigger-dev