Concurrent Data Pipelines with Broadway in Elixir

"Concurrent Data Pipelines with Broadway in Elixir"
Unlock the full potential of data-intensive application design with "Concurrent Data Pipelines with Broadway in Elixir." This comprehensive guide takes readers from the foundational principles of concurrency and parallelism on the BEAM virtual machine, through the architectural intricacies of Broadway, Elixir’s premier data processing library. With detailed explorations of process isolation, message passing, and supervision trees, this book provides both the theoretical underpinnings and practical insights required to build robust, scalable, and fault-tolerant systems. It delves into GenStage’s influence on Broadway, guiding engineers to leverage Elixir’s unique strengths for event-driven workflows.
Beyond the core architecture, the book offers an authoritative roadmap for integrating Broadway with diverse data sources—ranging from message queues like RabbitMQ and Kafka to custom APIs and streaming file inputs. Readers will master advanced processor patterns, batching strategies, and real-world output routing scenarios, ensuring consistent performance under heavy and unpredictable loads. Emphasis is placed on error handling, back-pressure mechanisms, transactional guarantees, and ensuring idempotency both at input and output stages—a must for reliable, production-grade data flows.
Operational excellence is a central theme, with in-depth coverage of observability, telemetry, benchmarking, and reliability engineering. From scaling across distributed environments and implementing Kubernetes operator patterns, to safeguarding pipelines with modern security, compliance, and governance best practices, the book prepares you for the complexities of enterprise deployment. Concluding with advanced patterns, machine learning integration, and real-world case studies, "Concurrent Data Pipelines with Broadway in Elixir" is the definitive resource for any engineer or architect seeking to build, operate, and evolve next-generation data pipelines in Elixir.