epub Distributed Systems for Developers: Understand Replication, Consistency, Consensus, Messaging, and Failure
por Corin Halstead
Descrição do livro
Your application does not have to be massive to become a distributed system. The moment services, databases, queues, caches, replicas, or regions must communicate, the rules change. A request can time out after the work has already succeeded. A retry meant to improve reliability can overwhelm a struggling dependency. Replicas can disagree. Messages can arrive more than once. Clocks can lie about ordering. And a failover designed to keep a system online can create entirely new problems. Distributed Systems for Developers gives software engineers a practical framework for understanding these challenges-and designing systems that remain predictable when networks slow down, components disappear, traffic spikes, and data exists in more than one place. Rather than burying you in protocol proofs or framework-specific code, this book focuses on the architectural decisions developers face in real production environments. Inside, you will learn how to: - Design safer timeouts, deadlines, retries, and cancellation strategies Whether you are a backend engineer, software developer, cloud engineer, system architect, DevOps professional, SRE, or computer science learner, this book will help you move beyond memorizing technologies and start reasoning about the forces that determine whether distributed software survives real-world conditions. Build systems that do not pretend uncertainty can be eliminated-build systems designed to handle it.
- Make informed trade-offs between availability, freshness, and coordination
- Understand replication, sharding, quorums, leader election, and data placement
- Build reliable queues, streams, event-driven workflows, and asynchronous services
- Prevent duplicate business effects with idempotency, deduplication, inboxes, and outboxes
- Use sagas and durable workflows when one transaction cannot span every service
- Control overload with backpressure, circuit breakers, load shedding, and graceful degradation
- Reason about caching, observability, security, recovery, and multi-region operation
- Perform production-readiness reviews that expose hidden architectural risks before customers do
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