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Netflix reduced their deployment failures from 4% to 0.0001% - that's 40,000x fewer failures. How? Temporal and durable execution. In this episode of the Platform Engineering Playbook, Jordan and Alex break down: 📉 THE PROBLEM Netflix's Spinnaker deployments had a 4% failure rate due to transient cloud operation failures. For pipelines taking days to complete, this meant constant restarts and developer frustration. 🔧 THE SOLUTION - DURABLE EXECUTION Write code as if failures don't exist. Temporal guarantees your workflows run to completion despite crashes, restarts, or infrastructure failures. ⚖️ TOOL COMPARISON Temporal: Code-first, infinite duration, mission-critical workflows AWS Step Functions: Serverless, visual designer, AWS-native Apache Airflow: DAG-based, batch processing, data pipelines Cadence: Temporal's predecessor, 12B executions/month at Uber 🏗️ NETFLIX'S IMPLEMENTATION Orca → Temporal → Clouddriver architecture 2-hour default retry timeout (fix-forward window) Gradual rollout via Fast Properties Two quarters to migrate all applications 📊 THE RESULTS 4% → 0.0001% failure rate Deleted homegrown orchestration, saga framework, retry logic Hundreds of use cases at Netflix today Migrated from self-hosted to Temporal Cloud TIMESTAMPS: 0:00 - Introduction: 40,000x improvement 0:45 - News: Temporal $2.5B valuation 2:15 - News: Kubernetes v1.35 security features 3:30 - News: Shai-Hulud npm attack postmortem 4:15 - Netflix's deployment problem 6:30 - What is durable execution? 9:00 - Temporal vs Step Functions vs Airflow vs Cadence 12:00 - Netflix's Temporal implementation 14:30 - The results and lessons learned 16:30 - Should you adopt Temporal? 18:00 - Key takeaways RESOURCES: 📄 Netflix Tech Blog: https://netflixtechblog.com/how-tempo... 🔗 Temporal.io: https://temporal.io/ 📊 Temporal Funding: https://temporal.io/blog/temporal-rai... 📖 Full show notes: https://platformengineering.org/podca... #platformengineering #devops #temporal #netflix #durableexecution #kubernetes #cicd #sre #reliability