Overview

Picture this scenario: You have built a successful application. It runs perfectly on your laptop. It runs perfectly on a single staging server. But then, success hits. You scale up to five servers to handle the load. Suddenly, everything breaks. Users are getting charged twice because two servers processed the same job. Your background workers are crashing because they can't handle the flood of data. You try to deploy a fix, but you drop thousands of active connections in the process. You are waking up at 3:00 AM because of ""Split-Brain"" scenarios where your database thinks it has two masters. The network is not reliable. Latency is not zero. Servers disappear without warning. In this environment, standard coding practices fail. You don't need just another tutorial; you need a survival guide. This book walks you through the dark corners of distributed computing. We strip away the complexity of ""Microservices"" and show you how to build a Clustered Monolith that is easier to deploy, cheaper to run, and impossible to kill. We turn the terrifying concept of a ""Network Partition"" into just another Tuesday at the office. What's insideThis book is packed with production-ready code, architectural diagrams, and hard-earned lessons from the field. Here is a glimpse of what you will master: The Architecture of Isolation: Understand how the BEAM's ""Share Nothing"" model provides the foundation for fault tolerance. Location Transparency: Learn how to send messages to a process on the other side of the world as easily as sending them to a process on the same RAM stick. Automated Discovery: Stop hardcoding IP addresses. Use libcluster and DNS polling to automatically wire together nodes in Kubernetes and AWS. The ""Citadel"" Pattern: Deploy the same codebase everywhere but use runtime configuration to specialize nodes into Web, Worker, or Streamer roles. Resilient Job Processing: Build GenStage pipelines that exert backpressure, preventing your system from crashing under load, and implement Oban for persistent, partitioned background jobs. Distributed Data: Move beyond the single database. Master Mnesia for transactional storage, Nebulex for distributed caching, and CRDTs for conflict-free real-time state. Observability: Implement Telemetry, Distributed Tracing, and centralized logging to spot bottlenecks before they become outages. Zero-Downtime Upgrades: Learn the ""Holy Grail"" of the BEAM-hot code reloading-to update your software without dropping a single connection. Who it's meant forThis book is written for Intermediate to Advanced Elixir Developers who are ready to level up. If you know how to spawn a GenServer but don't know what happens when the node it lives on crashes, this book is for you. If you are an Architect or CTO trying to decide between Microservices and a Monolith, this book provides the arguments and patterns for a third, better option. If you are an engineer tired of managing complex external infrastructure and want to lean on the power of the Virtual Machine instead, you will find your answers here. Note: You should be comfortable with basic Elixir syntax and OTP concepts before opening this book. The cloud is chaotic, but your software doesn't have to be. Stop building fragile systems that keep you up at night. It is time to harness the full power of the technology you are already using. It is time to build a system that gets stronger as it grows, not weaker. Grab your copy of ""Elixir for Distributed Systems"" today and start building your Citadel.

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