Design Patterns for Distributed Systems in #AKS
summary
Shows AKS-ready implementations for three concrete patterns with code and CLI snippets: Replicated Load-Balanced Services, Sharded Services, Scatter Gather. Demonstrates using Kubernetes Service + cloud load balancer and Horizontal Pod Autoscaler for stateless replicas, describes shard keys and per-shard storage for stateful scaling, and outlines a scatter/gather pipeline for parallel search or video-rendering jobs. Covers persistent volume choices (file vs block, premium disks), autoscaler behavior, and sample kubectl/helm commands so operators can reproduce the deployments and observe scaling, failover and latency tradeoffs.
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chapters (15)
- 0:00Introduction and welcome
- 3:22Containers and distributed systems
- 6:18Microservices and benefits
- 9:13Auto-scaling infrastructure
- 13:56Load balancing patterns
- 18:31Auto-scaler commands and rules
- 23:36Shared services and patterns
- 27:40Storage design patterns
- 32:25Persistent storage best practices
- 35:21Recording and publishing
- 36:01Stateless services scalability
- 37:33Splitting services
- 40:05Enterprise search patterns
- 42:15Ad-hoc search implementation
- 43:21Summary and closing
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