
Explore scaling strategies for Kafka, including horizontal and vertical scaling, replication techniques, and routing events between clusters. Learn to overcome bottlenecks and manage large-scale data processing effectively.

Optimize Kafka Connect clusters for scalability. Learn best practices to configure and manage Kafka Connect effectively, ensuring successful integration of external systems with Apache Kafka at scale.

Explore a novel system for microservices that handles state, communication, and consistency. Learn how it complements event-processing systems for complex control flow and coordination in distributed applications.

Discover an automated system for detecting and remediating degraded storage in Kafka, improving cluster performance and availability. Learn about monitoring, algorithm formulation, and mitigation strategies.

Explore challenges and improvements in Exactly-Once Semantics for distributed transactions between Apache Flink and Kafka. Learn about proposed protocol changes and enhanced integration for robust data processing.

Learn cost-effective streaming optimization techniques to drastically reduce infrastructure expenses. Discover simple SQL methods and advanced strategies for distributed storage and compute stacks.

Explore Kafka tiered storage implementation, deployment, and production learnings at scale. Gain insights on principles, workloads, extended features, and issue mitigation for improved scalability and efficiency.

Explore tradeoffs between workflow engines and event streaming brokers for microservices communication. Compare Apache Kafka and Temporal, examining their strengths and implementation challenges in various use cases.

深入探討 Kubernetes 環境中的 CAP 原則,分析大型叢集管理問題及解決方案。優化叢集配置以平衡效能、成本和可用性。

Explore 75+ proven API patterns for design, client apps, services, data, and workflow. Learn to create flexible, resilient implementations solving real problems with clear, concise patterns.

Explore event streaming with Kafka for robust Rails app communication, distributed systems design, and seamless service integration.

Explore strategies for modernizing legacy monoliths using microservices patterns in a modular approach, focusing on data consistency and distributed transactions.

Explore the foundational choices and trade-offs in building a streaming database with Frank McSherry, Chief Scientist at Materialize. Learn manageable approaches to this complex task.

Explore change data capture with Debezium and Apache Flink for microservices. Learn outbox pattern, strangler fig pattern, and saga orchestration for reliable data exchange and long-running transactions.

Explore real-time schema discovery in high-volume distributed systems. Learn about schema versioning, conflict detection, compatibility, and normalization without batching processes.

Implement observability in Drupal using OpenTelemetry, Monolog, and Grafana to track complex requests, optimize performance, and troubleshoot distributed architectures effectively.

Discover how automation enables success in edge deployments across industries, improving security, compliance, and repeatability in distributed environments.

Explore Apache Kafka streams for building scalable, fault-tolerant streaming applications with parallel processing capabilities.

Explore Kafka's components, configurations, and internal workings for efficient big data applications and pub/sub models.

Explore CQRS, SAGA, and Axon Framework concepts. Learn about Axon server functionality and understand the global popularity of CQRS architecture.

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