Chapter 11: Designing for Scalability and Resilience

In this section

• 11.1 Principles of Scalable EDA
  • Horizontal vs. Vertical Scaling in Event-Driven Architectures
    Explore the differences between horizontal and vertical scaling, their advantages, limitations, and use cases in designing scalable event-driven architectures.
  • Stateless vs. Stateful Components in Event-Driven Architecture
    Explore the differences between stateless and stateful components in event-driven architecture, their advantages, challenges, and best practices for designing scalable and resilient systems.
  • Load Balancing Strategies in Event-Driven Architectures
    Explore load balancing strategies in event-driven architectures, including Round Robin, Least Connections, Weighted Load Balancing, and more, to enhance scalability and resilience.
• 11.2 Building Resilient Systems
  • Fault Tolerance Techniques for Resilient Event-Driven Architectures
    Explore essential fault tolerance techniques in event-driven architectures, including redundancy, failover mechanisms, data replication, and more, to build resilient systems.
  • Circuit Breakers and Retries in Event-Driven Architecture
    Explore the Circuit Breaker pattern and Retry mechanisms in Event-Driven Architecture for building resilient systems. Learn how to implement these patterns using Java and Spring Boot with practical examples.
  • Graceful Degradation in Event-Driven Architectures
    Explore how to design systems that maintain core functionality during failures through graceful degradation, ensuring resilience and user satisfaction.
• 11.3 Data Partitioning and Sharding
  • Strategies for Partitioning Events in Event-Driven Architectures
    Explore various strategies for partitioning events in event-driven architectures to enhance scalability and resilience, including key-based, hash-based, and hybrid approaches.
  • Sharding for Distributed Systems: Optimizing Scalability and Performance
    Explore the intricacies of sharding in distributed systems, focusing on techniques, best practices, and real-world applications to enhance scalability and resilience in event-driven architectures.
  • Managing Partition Rebalancing in Event-Driven Architectures
    Explore the intricacies of managing partition rebalancing in event-driven architectures, focusing on triggers, tools, and best practices to ensure scalability and resilience.
• 11.4 Monitoring and Observability
  • Key Metrics for Event-Driven Architecture: Monitoring and Observability
    Explore essential metrics for monitoring and ensuring the performance, scalability, and resilience of Event-Driven Architectures (EDA). Learn about throughput, latency, error rates, and more, with practical examples and best practices.
  • Comprehensive Tools for Monitoring Streams and Queues in Event-Driven Architectures
    Explore essential tools and strategies for monitoring streams and queues in event-driven architectures, including Prometheus, Grafana, ELK Stack, and more.
  • Implementing Observability Practices in Event-Driven Architectures
    Learn how to implement observability practices in Event-Driven Architectures, including telemetry data collection, unified dashboards, distributed tracing, and more.