Design high availability and active-active infrastructure that helps distributed applications withstand failures while balancing resilience, consistency, and performance.
Built for cloud engineers, DevOps professionals, site reliability engineers, and architects, this course explores active-active and active-passive architectures, redundancy, recovery objectives, and multi-region traffic management. Compare Layer 4 and Layer 7 load balancing, global DNS, and Anycast routing to select suitable failover strategies. Learn to assess CAP and PACELC trade-offs, synchronous and asynchronous replication, distributed consensus, and conflict resolution. Evaluate multi-region databases, cache invalidation, and Kafka synchronization, including replication loops, consumer offsets, and idempotent processing. Examine circuit breakers, bulkheads, retries, service meshes, and Kubernetes for resilient microservices. You'll learn to recommend failure-containment controls and plan availability validation using distributed tracing, service-level objectives (SLOs), and chaos engineering. What sets this course apart is its end-to-end focus on architectural decisions: from routing and data consistency to failure recovery and controlled resilience testing. Enroll to make informed choices for highly available distributed systems.
