Kubernetes High Availability: HPA, Pod Disruption Budgets, Multi-AZ
Build resilient Kubernetes applications with Horizontal Pod Autoscaler, Pod Disruption Budgets, and multi-availability zone deployments for production workloads.
Build resilient Kubernetes applications with Horizontal Pod Autoscaler, Pod Disruption Budgets, and multi-availability zone deployments for production workloads.
Explore exactly-once semantics in distributed messaging - why it's hard, how Kafka and SQS approach it, and practical patterns for deduplication.
Explore the classic assumptions developers make about networked systems that lead to failures. Learn how to avoid these pitfalls in distributed architecture.
Design systems that maintain core functionality when components fail through fallback strategies, degradation modes, and progressive service levels.
Master health check implementation for microservices including liveness probes, readiness probes, and graceful degradation patterns.
Explore advanced health check patterns for distributed systems including deep checks, aggregation, distributed health tracking, and health protocols.
Learn how the transactional outbox prevents lost events, how relays publish them, and how idempotent consumers handle duplicates in distributed systems.
Learn essential high availability patterns including redundancy, failover, load balancing, and SLA calculations. Practical strategies for building systems that stay online.
Chaos engineering injects failures into production systems to find weaknesses before they cause outages. Learn chaos experiments, game days, and fault injection.
Disaster recovery planning protects against catastrophic failures. Learn RTO/RPO metrics, backup strategies, and multi-region failover patterns.