Sagas revolutionize transaction management in distributed systems, offering a scalable alternative to ACID transactions. This article explores how sagas coordinate microservices through local, reversible steps, using choreography or orchestration. Learn their core concepts, implementation strategies with idempotent designs, advantages like fault tolerance, and trade-offs compared to ACID, with practical tips for building resilient applications.

Apache Spark architecture explained through real-world mechanics: job stages, partitions, shuffle behavior, memory usage, structured streaming, deployment models, and performance tuning strategies in production.