Learn how to manage event schema evolution effectively to avoid breaking changes in event-driven architectures, ensuring backward compatibility and seamless integration.
Explore strategies for preserving event order in event-driven architectures, including partition keys, ordered queues, sequential processing, and more.
Explore the common integration patterns in microservices using event-driven architecture, including event-driven messaging, request-reply, publish-subscribe, event sourcing, CQRS, service mesh integration, saga pattern, and facade services.
Explore real-world implementations of Event-Driven Architecture in microservices across various industries, including e-commerce, finance, and healthcare. Learn about the business contexts, architectural designs, technology stacks, implementation steps, challenges faced, and outcomes achieved.
Explore comprehensive strategies for scaling event-driven microservices, including horizontal scaling, optimizing message brokers, load balancing, and more. Learn how to efficiently manage resources and implement auto-scaling policies for robust and responsive systems.
Explore strategies for integration testing with event brokers in event-driven architectures, focusing on real-world scenarios, schema compatibility, and automated workflows.
Explore the essential strategies and tools for load testing event-driven systems, focusing on performance limits, bottlenecks, and scalability using Apache JMeter and Kafka.
Learn how to effectively implement alerting and incident management in event-driven systems, ensuring timely responses to system anomalies and maintaining operational resilience.
Explore how Event-Driven Architecture (EDA) transforms e-commerce platforms by enhancing real-time processing, scalability, and user experience through practical implementations and strategies.
A comprehensive guide to implementing an Event-Driven Architecture system using Kafka, Java, and modern tools. Learn to set up event brokers, develop producers and consumers, and deploy with Infrastructure as Code.
Explore the Event Notification pattern in Event-Driven Architecture, including its definition, use cases, implementation steps, advantages, challenges, and best practices.
Explore techniques for ensuring message reliability in event-driven systems, including message persistence, acknowledgments, duplicate handling, retry mechanisms, and more.
Explore the architecture and components of Apache Kafka, including producers, brokers, topics, partitions, consumers, and more, to understand how Kafka enables scalable and resilient event-driven systems.
Explore the use cases and best practices for implementing Apache Kafka in event-driven architectures, including real-time analytics, microservices communication, log aggregation, stream processing, and fraud detection.
Explore the differences between RabbitMQ and Kafka, and learn how to choose the right messaging tool for your microservices architecture based on use cases, performance, scalability, and more.