
Explore Bitbucket's architecture evolution, from a modest Django app to a complex, scalable system serving millions. Learn about technology choices and infrastructure components.

Explore the transition from HTTP to Kafka-based microservices, discussing challenges, solutions, and benefits of asynchronous communication in Python-based systems.

Explore microservices design using message brokers and containers, focusing on decoupling, event sourcing, and scalability. Learn implementation techniques with Kafka, Docker, and Azure Container Service.

Explore the fundamental architecture and implementation of cloud-native MQTT messaging systems built on RocketMQ, focusing on IoT applications and scalable communication patterns.

Explore common RabbitMQ misuse patterns, their root causes, and practical solutions for cloud-based deployments. Gain insights from experienced operators to optimize broker performance.

Explore change data capture using Elixir and Debezium, covering technical debt, state sharing, and advanced solutions for data replication and consistency.

Explore fundamental Apache Kafka concepts, including event-driven architecture, topics, producers, consumers, and key configurations. Gain confidence in learning this powerful platform.

Develop high-performance, scalable Java microservices using reactive programming, LMAX Disruptor, Undertow server, and Kubernetes for cloud-native deployment strategies.

Explore the complexities of asynchronous communication in distributed systems, debunking misconceptions and examining various interpretations to enhance understanding of inter-process communication.

Explore RabbitMQ's 17-year journey as a leading messaging broker, examining its evolution, recent innovations including version 4.0, and strategies for maintaining its competitive edge in digital transformation.

Explore the nuanced meanings of asynchronous communication in distributed systems, clarifying misconceptions and examining its implementation across different architectural contexts.

Explore RabbitMQ performance factors and learn to use PerfTest for simulating workloads across different topologies. Gain practical insights into optimizing RabbitMQ throughput.

Discover tools and techniques for optimizing RabbitMQ performance, including spotting bottlenecks, profiling, and improving throughput and latency while minimizing resource usage.

Explore RabbitMQ architecture, recent performance enhancements, and future directions. Learn how Erlang Runtime System enables scalable message brokering and discover solutions to current bottlenecks.

Explore RabbitMQ's journey to become a leading MQTT broker, featuring Native MQTT implementation and MQTT 5.0 support. Learn about performance improvements and future roadmap for IoT workloads.

Explore Spring Cloud Stream's evolution, current capabilities, and future developments for building message-driven microservices with ease.

Learn Redis, the high-performance in-memory data store. Master its versatile features for efficient data management, caching, and message brokering in modern applications.

Master Redis data structures and optimize performance for efficient in-memory key-value database management and caching.

Learn to integrate RabbitMQ with Scala, leveraging its type system and functional features for efficient message brokering in distributed systems.

Explore event-driven architecture and Apache Kafka for building scalable, real-time systems with efficient data streaming and communication between components.

Implement reliable asynchronous job processing using Postgres as a queue mechanism in Go. Simplify architecture and improve observability for distributed workloads.