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Classroom Contents
Apache Spark on Kubernetes - Lessons Learned from Launching Millions of Spark Executors
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- 1 Intro
- 2 Data Platform
- 3 Elastic Self Service Spark
- 4 Code to Deployment
- 5 Security
- 6 Monitoring
- 7 Orchestration Architecture
- 8 Varying Workload Pattern
- 9 One Interface over Multi-Cloud
- 10 Optimize Kubernetes for Spark Workload
- 11 Granular Concurrency Check at Orchestration
- 12 Avoid Partially Running Applications
- 13 Timeout Partially Running Applications
- 14 Mitigate Cluster Storage Stress
- 15 Utilization-based Allocation Recommendation
- 16 Dynamic Allocation
- 17 Push-button Cloud Management
- 18 Scale up Spark on Kubernetes
