📘 Distributed Systems with Java — Series Index

Welcome to The Code Hut Distributed Systems series! This page serves as your central hub to explore all posts in the series. Each article dives into a key concept, mechanism, or pattern with practical Java examples.

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• 📝 Intro to Distributed Systems
  Overview of distributed systems, why we need them, and what you'll learn in this series.
• 🔒 Concurrency & Locking
  Explore optimistic vs pessimistic locking and distributed locks in Java.
• 🤝 Consensus & Coordination
  Leader election, Raft, Paxos, and coordination patterns for distributed nodes.
• 💰 Transactions & Sagas
  Distributed transactions, two-phase commit, and Saga pattern in Java.
• ⚡ Fault Tolerance & Reliability
  Replication, partitioning, idempotency, and error handling in distributed systems.
• 📡 Communication Patterns
  REST, gRPC, Kafka, and asynchronous messaging patterns.
• 🛡️ Resilience Patterns
  Retries, circuit breakers, bulkheads, and fault isolation in Java.
• 🌐 Service Discovery & Load Balancing
  Registry-based, client-side, and server-side load balancing explained.
• ⚖️ Consistency Models
  Strong vs eventual consistency, linearizability, and event sourcing.
• 🗄️ Caching Strategies
  Local and distributed caching patterns using Java and Redis.
• 📊 Observability
  Logging, metrics, and tracing for distributed Java systems.
• 🔐 Security in Distributed Systems
  Authentication, authorization, secrets management, and encryption.
• 🎯 Event-Driven Architecture
  Kafka, event sourcing, and asynchronous workflows in distributed systems.
• 📈 Monitoring & Alerting
  Observability and alerting for event-driven systems.
• 🚀 Microservices Scaling Patterns
  Horizontal and vertical scaling, load management, and best practices.
• 🔄 Distributed Transactions Deep Dive
  Advanced Saga patterns, compensation, and consistency.
• 🛠️ Advanced Fault Tolerance
  Retry strategies, circuit breakers, and recovery techniques.
• 🧪 Testing Strategies
  Approaches for unit, integration, and end-to-end tests in distributed systems.
• ⚠️ Distributed System Anti-Patterns
  Common mistakes and pitfalls to avoid.
• ☁️ Cloud-Native Considerations
  Kubernetes, Docker, and cloud-native best practices.

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Each post includes **Java examples**, diagrams, and practical tips to help you build real-world distributed systems. Check back regularly as we publish new posts in this series!