Design Reliable Streaming Architectures

Learn to design production-ready streaming architectures. This course teaches architecture patterns, reliability decisions, and operational practices for scalable real-time systems.

Real-time data processing is critical for modern applications, but building reliable streaming systems requires careful architectural planning and operational expertise. In this course, Design Reliable Streaming Architectures, you'll gain the ability to design and operate production-ready streaming systems that scale reliably. First, you'll explore common architecture patterns including ETL, enrichment, CDC, and Lambda architectures, learning when and how to apply each pattern effectively. Next, you'll discover how to make architectural decisions based on reliability and performance goals, including choosing processing guarantees, planning for failure scenarios, and designing for scale. Finally, you'll learn how to plan for observability, maintenance, and evolution of streaming systems, covering monitoring strategies, schema evolution, and operational lifecycle management. When you're finished with this course, you'll have the skills and knowledge of streaming system architecture needed to build reliable, scalable real-time data processing systems.