Distributed Systems Hub

2025 Architecture Patterns • Microservices • Cloud-Native Systems

Master distributed systems design with cutting-edge 2025 patterns including edge computing integration, AI-driven microservices, and advanced Kubernetes deployments. Build scalable, fault-tolerant systems that handle millions of users.

Distributed Systems Fundamentals

CAP Theorem & Trade-offs

Master the fundamental trade-offs in distributed systems: Consistency, Availability, and Partition tolerance. Learn when to choose AP vs CP systems and real-world examples.

CAP Theorem • Consistency • Availability • Partition Tolerance

Distributed Storage Systems

Learn distributed file systems, object storage, and distributed databases. Covers replication strategies, sharding, and consistency models across storage systems.

Distributed Storage • Replication • Sharding • Consistency Models

Fault Tolerance & Recovery

Design systems that gracefully handle failures. Learn circuit breakers, bulkheads, timeouts, retries, and graceful degradation patterns for robust distributed systems.

Fault Tolerance • Circuit Breaker • Graceful Degradation • Recovery

Distributed Transactions & 2PC

Handle transactions across distributed systems with Two-Phase Commit, Three-Phase Commit, and saga patterns. Understand when to use each approach.

Distributed Transactions • 2PC • 3PC • Saga Pattern

Load Balancing & Traffic Management

Master load balancing algorithms, health checks, and traffic routing. Learn Layer 4 vs Layer 7 load balancing and modern proxy technologies.

Load Balancing • Traffic Management • Proxy • Health Checks

Microservices Architecture

Inter-Service Communication

Master synchronous (REST, gRPC) and asynchronous (message queues, events) communication patterns. Learn service mesh and communication security.

Service Communication • REST • gRPC • Message Queues • Events

Service Discovery & Registry

Implement service discovery with Consul, Eureka, and Kubernetes service discovery. Handle dynamic service registration and health monitoring.

Service Discovery • Consul • Eureka • Health Monitoring

Data Management in Microservices

Handle data consistency, distributed transactions, and database per service patterns. Learn event-driven data synchronization and CQRS implementation.

Data Management • Database per Service • Data Consistency • CQRS

Monitoring & Observability

Implement distributed tracing, metrics collection, and log aggregation. Master Prometheus, Grafana, Jaeger, and OpenTelemetry for microservices observability.

Observability • Distributed Tracing • Prometheus • Grafana • Jaeger

Microservices Security

Secure microservices with OAuth 2.0, JWT tokens, mTLS, and zero-trust networking. Implement API gateways and service-to-service authentication.

Microservices Security • OAuth • JWT • mTLS • Zero Trust

Advanced Architecture Patterns

Event Sourcing & CQRS

Implement event sourcing for audit trails and temporal queries. Combine with CQRS for scalable read/write separation and complex business domains.

Event Sourcing • CQRS • Audit Trail • Temporal Queries

Saga Pattern for Distributed Transactions

Manage long-running transactions across microservices with choreography and orchestration sagas. Handle compensation and failure scenarios.

Saga Pattern • Distributed Transactions • Choreography • Orchestration

Distributed Caching Strategies

Implement multi-level caching with Redis, Memcached, and CDNs. Learn cache coherence, invalidation strategies, and performance optimization.

Distributed Caching • Redis • Cache Coherence • Performance

Stream Processing Architecture

Build real-time data processing pipelines with Apache Kafka, Apache Flink, and Apache Storm. Handle exactly-once processing and windowing operations.

Stream Processing • Kafka • Flink • Real-time • Windowing

API Gateway & Backend for Frontend

Design API gateways for routing, authentication, rate limiting, and request transformation. Implement Backend for Frontend (BFF) patterns for different clients.

API Gateway • BFF Pattern • Rate Limiting • Request Routing

Distributed Locking & Coordination

Implement distributed locks with Redis, Zookeeper, and etcd. Learn leader election and coordination patterns for distributed algorithms.

Distributed Locking • Coordination • Leader Election • Zookeeper

Build Real Systems

Distributed Database System

Build a distributed database with automatic sharding, replication, and consensus. Implement RAFT consensus and handle network partitions gracefully.

Project • Distributed Database • Raft • Sharding • Replication

Message Queue & Pub/Sub System

Create a Kafka-like message queue system with topics, partitions, and consumer groups. Handle exactly-once delivery and message ordering guarantees.

Project • Message Queue • Pub/Sub • Exactly-once Delivery

Distributed Cache Implementation

Build a Redis-like distributed cache with consistent hashing, replication, and automatic failover. Optimize for sub-millisecond latency at scale.

Project • Distributed Cache • Consistent Hashing • Failover

Microservices E-commerce Platform

Develop a complete e-commerce system with user service, product catalog, inventory, payments, and order management. Use event-driven architecture.

Project • E-commerce • Microservices • Event-driven • Payments

Service Mesh Implementation

Set up and configure Istio service mesh for a microservices application. Implement traffic management, security policies, and observability.

Project • Service Mesh • Istio • Traffic Management • Security

Learning Resources & Career Path

Essential Books

  • Designing Data-Intensive Applications - Martin Kleppmann
  • Building Microservices - Sam Newman
  • Distributed Systems - Maarten van Steen
  • Site Reliability Engineering - Google SRE Team
  • Microservices Patterns - Chris Richardson

Online Courses

  • MIT 6.824: Distributed Systems
  • CMU 15-440: Distributed Systems
  • Coursera: Cloud Computing Specialization
  • Udemy: Microservices with Spring Cloud
  • A Cloud Guru: Kubernetes Deep Dive

Hands-on Practice

  • Kubernetes: Set up local clusters, deploy apps
  • Docker: Containerize applications
  • Cloud Platforms: AWS, GCP, Azure hands-on
  • Service Mesh: Istio, Linkerd experiments
  • Monitoring: Prometheus, Grafana setup

Career Paths

  • Site Reliability Engineer: $150k-300k+
  • Platform Engineer: $140k-280k+
  • Cloud Architect: $160k-350k+
  • DevOps Engineer: $120k-250k+
  • Distributed Systems Engineer: $180k-400k+

Key Technologies

  • Orchestration: Kubernetes, Docker Swarm
  • Service Mesh: Istio, Linkerd, Consul Connect
  • Messaging: Apache Kafka, RabbitMQ, NATS
  • Databases: MongoDB, Cassandra, Redis
  • Monitoring: Prometheus, Grafana, Jaeger

Interview Preparation

  • System Design: Design large-scale systems
  • Concepts: CAP theorem, consensus algorithms
  • Trade-offs: Consistency vs availability
  • Real Systems: How Google/Netflix/Amazon scale
  • Hands-on: Build and demonstrate systems