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Mapagam

41 SECTIONS · 482 TOPICS

Microservices Design Patterns Roadmap

  1. Understanding Microservices Fundamentals

    1. 1. Understanding Microservices Architecture
    2. High-Level Architecture
    3. 2. Understanding Microservices Characteristics
    4. 3. Understanding Service Boundaries
    5. Example: E-commerce Service Boundaries
    6. 4. Understanding Service Independence
    7. 5. Understanding Single Responsibility Principle
    8. 6. Understanding Microservices vs Monolith
    9. 7. Understanding Distributed Systems Challenges
    10. 8. Understanding Service Granularity
    11. 9. Understanding Service Ownership
    12. "You Build It, You Run It"
    13. 10. Understanding Conway's Law

  2. Understanding Communication Fundamentals

    1. 1. Understanding Synchronous Communication
    2. Example: Synchronous REST Call (Java + Spring)
    3. 2. Understanding Asynchronous Communication
    4. Example: Async Publishing (Java + Kafka)
    5. 3. Understanding Communication Protocols
    6. 4. Synchronous vs Asynchronous Communication
    7. Synchronous
    8. Asynchronous
    9. 5. Understanding Message Brokers
    10. 6. Understanding RPC Patterns
    11. Example: gRPC Service (Protobuf)
    12. 7. Understanding Event-Driven Architecture
    13. Event Flow
    14. 8. Understanding Pub/Sub Model
    15. 9. Understanding Request/Reply Model
    16. Example: Async Request/Reply with Correlation ID
    17. 10. Understanding Push vs Pull Communication

  3. Implementing Service Decomposition Patterns

    1. 1. Decompose by Business Capability
    2. Example: Capability Map → Services
    3. 2. Decompose by Subdomain
    4. 3. Decompose by Use Case
    5. 4. Decompose by Volatility
    6. 5. Self-Contained Service Pattern
    7. 6. Service per Team Pattern
    8. 7. Strangler Fig Pattern
    9. Strangler Migration
    10. 8. Anti-Corruption Layer Pattern
    11. Example: ACL Wrapping Legacy SOAP
    12. 9. Separate Front and Backend Services
    13. 10. Understanding Decomposition Trade-offs

  4. Implementing Domain-Driven Design Patterns

    1. 1. Bounded Context Pattern
    2. Example: Same Concept, Different Contexts
    3. 2. Aggregate Pattern
    4. Example: Order Aggregate (Java)
    5. 3. Entity Pattern
    6. 4. Value Object Pattern
    7. Example: Money Value Object (Java 21+ record)
    8. 5. Repository Pattern
    9. Example: Repository Interface
    10. 6. Domain Event Pattern
    11. Example: Domain Event
    12. 7. Domain Service Pattern
    13. 8. Factory Pattern
    14. Example: Order Factory
    15. 9. Specification Pattern
    16. Example: Specification
    17. 10. Ubiquitous Language Pattern
    18. 11. Context Mapping Pattern

  5. Managing Service Communication Patterns

    1. 1. Request/Response Pattern
    2. 2. Asynchronous Messaging Pattern
    3. 3. Publish/Subscribe Pattern
    4. 4. Point-to-Point Messaging Pattern
    5. 5. Remote Procedure Invocation Pattern
    6. 6. Domain-Specific Protocol Pattern
    7. 7. Transactional Outbox Pattern
    8. Example: Outbox Table + Atomic Write
    9. 8. Polling Publisher Pattern
    10. 9. Transaction Log Tailing Pattern
    11. 10. Competing Consumers Pattern
    12. Competing Consumers

  6. Implementing Event-Driven Patterns

    1. 1. Event Notification Pattern
    2. Example: Notification Event
    3. 2. Event-Carried State Transfer Pattern
    4. 3. Event Sourcing Pattern
    5. Example: Rebuild State from Events
    6. 4. Event Collaboration Pattern
    7. 5. Event Store Pattern
    8. 6. Event Replay Pattern
    9. 7. Event Ordering Pattern
    10. 8. Event Deduplication Pattern
    11. 9. Event Streaming Pattern
    12. Example: Kafka Streams Aggregation
    13. 10. Event-Driven State Machine Pattern

  7. Managing Event Schema and Versioning

    1. 1. Event Schema Evolution Pattern
    2. 2. Event Versioning Pattern
    3. 3. Schema Registry Pattern
    4. 4. Tolerant Reader Pattern
    5. Example: Jackson Tolerant Reader
    6. 5. Expand and Contract Pattern
    7. 6. Upcaster Pattern
    8. Example: Upcaster
    9. 7. Event Wrapper Pattern
    10. 8. Canonical Data Model Pattern
    11. 9. Event Envelope Pattern
    12. Example: CloudEvents Envelope
    13. 10. Schema Validation Pattern

  8. Managing Message Reliability

    1. 1. At-Least-Once Delivery Pattern
    2. 2. At-Most-Once Delivery Pattern
    3. 3. Exactly-Once Delivery Pattern
    4. 4. Idempotent Consumer Pattern
    5. Example: Idempotent Insert
    6. 5. Message Acknowledgment Pattern
    7. 6. Dead Letter Queue Pattern
    8. Example: RabbitMQ DLX Configuration
    9. 7. Poison Message Handling Pattern
    10. 8. Message Deduplication Pattern
    11. 9. Inbox Pattern
    12. Example: Inbox Atomic Processing
    13. 10. Priority Queue Pattern

  9. Managing Data in Microservices

    1. 1. Database per Service Pattern
    2. 2. Shared Database Anti-Pattern
    3. 3. Polyglot Persistence Pattern
    4. 4. CQRS Pattern
    5. 5. Materialized View Pattern
    6. Example: Customer Order Summary View
    7. 6. Data Replication Pattern
    8. 7. Transaction Log Tailing Pattern
    9. 8. Change Data Capture Pattern
    10. 9. Data Mesh Pattern
    11. 10. Data Lake Pattern

  10. Managing Data Consistency

    1. 1. Strong Consistency Pattern
    2. 2. Eventual Consistency Pattern
    3. 3. Causal Consistency Pattern
    4. 4. Read-Your-Writes Consistency Pattern
    5. 5. Monotonic Reads Pattern
    6. 6. Monotonic Writes Pattern
    7. 7. Optimistic Locking Pattern
    8. Example: Optimistic UPDATE
    9. 8. Pessimistic Locking Pattern
    10. 9. Conflict-Free Replicated Data Type Pattern
    11. 10. Version Vector Pattern

  11. Implementing CQRS Patterns

    1. 1. Command Model Pattern
    2. Example: Command + Handler
    3. 2. Query Model Pattern
    4. 3. Read Models Pattern
    5. 4. Event Sourcing with CQRS
    6. ES + CQRS Flow
    7. 5. Separate Read/Write Databases
    8. 6. Projection Pattern
    9. 7. Snapshot Pattern
    10. 8. Command Handler Pattern
    11. 9. Query Handler Pattern
    12. Example: Query Handler
    13. 10. Eventually Consistent Queries

  12. Implementing Saga Patterns

    1. 1. Saga Orchestration Pattern
    2. Example: Order Saga Orchestrator (Temporal-style)
    3. 2. Saga Choreography Pattern
    4. Choreography Flow
    5. 3. Implementing Compensating Transactions
    6. 4. Managing Saga State Machines
    7. 5. Handling Saga Failures
    8. 6. Saga Timeout Pattern
    9. 7. Saga Recovery Pattern
    10. 8. Saga Isolation Pattern
    11. 9. Saga Logging Pattern
    12. 10. Saga Compensation Order Pattern

  13. Managing Distributed Transactions

    1. 1. Two-Phase Commit Pattern
    2. 2. Three-Phase Commit Pattern
    3. 3. Try-Confirm-Cancel Pattern
    4. Example: TCC Inventory
    5. 4. Reservation Pattern
    6. 5. Saga Pattern vs 2PC
    7. 2PC (XA)
    8. Saga
    9. 6. Compensating Transaction Pattern
    10. 7. Outbox Pattern
    11. 8. Transaction Coordinator Pattern
    12. 9. Distributed Lock Pattern
    13. Example: Redis Lock
    14. 10. Fencing Token Pattern
    15. Fencing Token Flow

  14. Implementing API Gateway Patterns

    1. 1. API Gateway Pattern
    2. 2. Backends for Frontends Pattern
    3. BFF Topology
    4. 3. Gateway Routing Pattern
    5. 4. Gateway Aggregation Pattern
    6. Example: Aggregated Order Detail
    7. 5. Gateway Offloading Pattern
    8. 6. Micro Gateway Pattern
    9. 7. GraphQL Gateway Pattern
    10. 8. API Gateway with Circuit Breaker
    11. 9. Edge Service Pattern
    12. 10. Gateway Rate Limiting Pattern

  15. Implementing Service Discovery Patterns

    1. 1. Client-Side Discovery Pattern
    2. 2. Server-Side Discovery Pattern
    3. 3. Service Registry Pattern
    4. 4. Self-Registration Pattern
    5. 5. Third-Party Registration Pattern
    6. 6. Health Check Pattern
    7. Example: Spring Boot Actuator
    8. 7. DNS-Based Discovery Pattern
    9. 8. Service Metadata Pattern
    10. 9. Lease Pattern
    11. 10. Heartbeat Pattern

  16. Implementing Service Aggregation Patterns

    1. 1. API Composition Pattern
    2. 2. Aggregator Service Pattern
    3. 3. Composite Service Pattern
    4. 4. Response Aggregation Pattern
    5. Example: Partial Response
    6. 5. Parallel Service Call Pattern
    7. 6. Sequential Service Call Pattern
    8. 7. Scatter-Gather Pattern
    9. 8. Partial Response Pattern
    10. 9. Data Joining Pattern
    11. 10. Content Enricher Pattern

  17. Managing Service Orchestration

    1. 1. Orchestration Pattern
    2. 2. Process Manager Pattern
    3. 3. Routing Slip Pattern
    4. 4. Centralized Workflow Pattern
    5. 5. Workflow State Machine Pattern
    6. 6. Compensation Workflow Pattern
    7. 7. Long-Running Transaction Pattern
    8. Example: Temporal Workflow
    9. 8. Pipeline Pattern
    10. 9. Orchestration Engine Pattern
    11. 10. Process Choreography Pattern

  18. Managing Service Coordination

    1. 1. Leader Election Pattern
    2. Example: K8s Lease Election
    3. 2. Distributed Lock Pattern
    4. 3. Distributed Consensus Pattern
    5. 4. Coordination Service Pattern
    6. 5. Work Distribution Pattern
    7. 6. Task Queue Pattern
    8. 7. Claim Check Pattern
    9. Example: Claim Check with S3
    10. 8. Distributed Barrier Pattern
    11. 9. Distributed Latch Pattern
    12. 10. Scheduling Coordinator Pattern

  19. Implementing Circuit Breaker Patterns

    1. 1. Circuit Breaker Pattern
    2. 2. Circuit Breaker States
    3. State Machine
    4. 3. Circuit Breaker Fallback Pattern
    5. 4. Circuit Breaker Threshold Configuration
    6. Example: Resilience4j Config
    7. 5. Circuit Breaker with Timeout
    8. 6. Hierarchical Circuit Breaker Pattern
    9. 7. Circuit Breaker Metrics Pattern
    10. 8. Circuit Breaker Recovery Pattern
    11. 9. Per-Host Circuit Breaker Pattern
    12. 10. Adaptive Circuit Breaker Pattern

  20. Implementing Resilience Patterns

    1. 1. Bulkhead Pattern
    2. 2. Bulkhead Pool Configuration
    3. 3. Retry Pattern
    4. Example: Exponential Backoff + Jitter
    5. 4. Retry Strategy Configuration
    6. 5. Timeout Pattern
    7. 6. Fallback Pattern
    8. 7. Fail Fast Pattern
    9. 8. Graceful Degradation Pattern
    10. 9. Compensating Transaction Pattern
    11. 10. Shed Load Pattern

  21. Managing Timeout and Deadline Patterns

    1. 1. Request Timeout Pattern
    2. 2. Connection Timeout Pattern
    3. 3. Deadline Propagation Pattern
    4. Example: gRPC Deadline (Go)
    5. 4. Cascading Timeout Pattern
    6. 5. Adaptive Timeout Pattern
    7. 6. Long-Running Operation Pattern
    8. Example: Long-Running Operation Response
    9. 7. Timeout Recovery Pattern
    10. 8. Timeout Budget Pattern
    11. 9. Asynchronous Timeout Pattern
    12. 10. Deadline Context Pattern

  22. Implementing Rate Limiting Patterns

    1. 1. Rate Limiting Pattern
    2. 2. Token Bucket Pattern
    3. 3. Leaky Bucket Pattern
    4. 4. Sliding Window Pattern
    5. 5. Fixed Window Pattern
    6. 6. Adaptive Rate Limiting Pattern
    7. 7. Distributed Rate Limiting Pattern
    8. Example: Redis Token Bucket (Lua)
    9. 8. Client-Based Rate Limiting
    10. 9. API Quota Pattern
    11. 10. Rate Limit Response Pattern

  23. Implementing Backpressure Patterns

    1. 1. Backpressure Pattern
    2. 2. Reactive Streams Backpressure
    3. 3. Buffer-Based Backpressure
    4. 4. Drop Strategies Pattern
    5. 5. Queue-Based Load Leveling
    6. 6. Credit-Based Flow Control
    7. 7. Windowed Backpressure Pattern
    8. 8. Sampling Pattern
    9. 9. Load Shedding Pattern
    10. 10. Admission Control Pattern

  24. Implementing Caching Patterns

    1. 1. Cache-Aside Pattern
    2. Example: Cache-Aside (Java + Redis)
    3. 2. Read-Through Cache Pattern
    4. 3. Write-Through Cache Pattern
    5. 4. Write-Behind Cache Pattern
    6. 5. Refresh-Ahead Cache Pattern
    7. 6. Distributed Cache Pattern
    8. 7. Near Cache Pattern
    9. 8. Cache Invalidation Pattern
    10. 9. Cache Stampede Prevention Pattern
    11. 10. Multi-Level Cache Pattern

  25. Managing Service Isolation

    1. 1. Process Isolation Pattern
    2. 2. Resource Isolation Pattern
    3. 3. Namespace Isolation Pattern
    4. 4. Network Isolation Pattern
    5. Example: K8s NetworkPolicy
    6. 5. Security Context Isolation Pattern
    7. 6. Fault Isolation Pattern
    8. 7. Deployment Isolation Pattern
    9. 8. Data Isolation Pattern
    10. 9. Tenant Isolation Pattern
    11. 10. Runtime Isolation Pattern

  26. Implementing Scalability Patterns

    1. 1. Horizontal Scaling Pattern
    2. 2. Vertical Scaling Pattern
    3. 3. Load Balancing Pattern
    4. 4. Auto-Scaling Pattern
    5. Example: K8s HPA
    6. 5. Stateless Service Pattern
    7. 6. Database Sharding Pattern
    8. 7. Read Replica Pattern
    9. 8. Queue-Based Load Leveling Pattern
    10. 9. Partitioning Pattern
    11. 10. Elastic Scaling Pattern

  27. Implementing Performance Optimization Patterns

    1. 1. Asynchronous Communication Pattern
    2. 2. Response Compression Pattern
    3. 3. Connection Pooling Pattern
    4. 4. Request Batching Pattern
    5. Example: GraphQL DataLoader
    6. 5. Lazy Loading Pattern
    7. 6. Prefetching Pattern
    8. 7. Resource Pooling Pattern
    9. 8. Denormalization Pattern
    10. 9. Index Optimization Pattern
    11. 10. Parallel Processing Pattern

  28. Implementing Security Patterns

    1. 1. Service-to-Service Authentication Pattern
    2. 2. Token-Based Authentication Pattern
    3. Example: JWT Bearer
    4. 3. OAuth2 Pattern
    5. 4. API Key Pattern
    6. 5. Mutual TLS Pattern
    7. 6. Zero Trust Security Pattern
    8. 7. Defense in Depth Pattern
    9. 8. Role-Based Access Control Pattern
    10. 9. Attribute-Based Access Control Pattern
    11. Example: OPA Rego Policy
    12. 10. Secrets Management Pattern

  29. Implementing Service Mesh Patterns

    1. 1. Service Mesh Pattern
    2. 2. Sidecar Proxy Pattern
    3. 3. Control Plane Pattern
    4. 4. Data Plane Pattern
    5. 5. Service Mesh Security Pattern
    6. 6. Traffic Management Pattern
    7. Example: Istio VirtualService Canary
    8. 7. Service Mesh Observability
    9. 8. Circuit Breaking in Service Mesh
    10. 9. Service Mesh Retry and Timeout
    11. 10. Canary Traffic Routing

  30. Implementing Observability Patterns

    1. 1. Distributed Tracing Pattern
    2. Example: OTel Java Auto-Instrumentation
    3. 2. Correlation ID Pattern
    4. 3. Log Aggregation Pattern
    5. 4. Application Metrics Pattern
    6. 5. Health Check API Pattern
    7. Example: Health Response
    8. 6. Exception Tracking Pattern
    9. 7. Audit Logging Pattern
    10. 8. Distributed Context Propagation Pattern
    11. 9. Service Dependency Mapping Pattern
    12. 10. Span Context Pattern

  31. Implementing Monitoring and Alerting Patterns

    1. 1. Synthetic Monitoring Pattern
    2. 2. Real User Monitoring Pattern
    3. 3. Health Dashboard Pattern
    4. 4. Alerting Pattern
    5. 5. Anomaly Detection Pattern
    6. 6. SLA Monitoring Pattern
    7. 7. Latency Monitoring Pattern
    8. 8. Error Rate Monitoring Pattern
    9. 9. Resource Utilization Monitoring
    10. 10. Business Metrics Monitoring

  32. Managing Configuration Patterns

    1. 1. Externalized Configuration Pattern
    2. 2. Configuration Server Pattern
    3. 3. Service Template Pattern
    4. 4. Configuration Versioning Pattern
    5. 5. Feature Toggle Pattern
    6. Example: Feature Flag Use
    7. 6. Dynamic Configuration Pattern
    8. 7. Environment-Specific Configuration Pattern
    9. 8. Secrets Configuration Pattern
    10. 9. Configuration Inheritance Pattern
    11. 10. Configuration Validation Pattern

  33. Implementing Error Handling Patterns

    1. 1. Error Response Standardization Pattern
    2. 2. Problem Details Pattern
    3. Example: Problem Details Response
    4. 3. Error Code Pattern
    5. 4. Error Propagation Pattern
    6. 5. Fail Fast Pattern
    7. 6. Fail Silent Pattern
    8. 7. Default Response Pattern
    9. 8. Error Recovery Pattern
    10. 9. Compensating Action Pattern
    11. 10. Error Callback Pattern

  34. Implementing Cross-Cutting Concern Patterns

    1. 1. Sidecar Pattern
    2. 2. Ambassador Pattern
    3. 3. Adapter Pattern
    4. 4. Microservice Chassis Pattern
    5. 5. Service Template Pattern
    6. 6. Shared Library Pattern
    7. 7. Common Closure Principle Pattern
    8. 8. Aspect-Oriented Pattern
    9. Example: Spring AOP Logging
    10. 9. Decorator Pattern
    11. 10. Middleware Pattern

  35. Managing API Versioning Patterns

    1. 1. API Versioning Pattern
    2. 2. URL Path Versioning Pattern
    3. 3. Header Versioning Pattern
    4. 4. Query Parameter Versioning Pattern
    5. 5. Content Negotiation Versioning Pattern
    6. 6. Semantic Versioning Pattern
    7. 7. Backward Compatibility Pattern
    8. 8. Forward Compatibility Pattern
    9. 9. Deprecation Pattern
    10. Example: Deprecation Headers
    11. 10. Parallel Versions Pattern

  36. Implementing Multi-Tenancy Patterns

    1. 1. Database per Tenant Pattern
    2. 2. Schema per Tenant Pattern
    3. 3. Shared Database Discriminator Pattern
    4. Example: Postgres RLS
    5. 4. Tenant Isolation Pattern
    6. 5. Tenant Context Propagation Pattern
    7. 6. Tenant-Based Routing Pattern
    8. 7. Tenant Configuration Pattern
    9. 8. Per-Tenant Resource Quota Pattern
    10. 9. Tenant-Based Caching Pattern
    11. 10. Tenant Onboarding Pattern

  37. Implementing Deployment Patterns

    1. 1. Blue-Green Deployment Pattern
    2. 2. Canary Deployment Pattern
    3. 3. Rolling Deployment Pattern
    4. 4. A/B Testing Pattern
    5. 5. Shadow Deployment Pattern
    6. 6. Feature Toggle Deployment Pattern
    7. 7. Immutable Infrastructure Pattern
    8. 8. Zero-Downtime Deployment Pattern
    9. 9. Parallel Run Pattern
    10. 10. Progressive Delivery Pattern

  38. Implementing Migration Patterns

    1. 1. Strangler Fig Pattern
    2. Strangler Fig Flow
    3. 2. Anti-Corruption Layer Pattern
    4. 3. Branch by Abstraction Pattern
    5. 4. Parallel Run Pattern
    6. 5. Feature Toggle Migration Pattern
    7. 6. Incremental Migration Pattern
    8. 7. Dual Write Pattern
    9. 8. Facade Pattern
    10. 9. Legacy Wrapper Pattern
    11. 10. Database Schema Evolution Pattern

  39. Implementing Batch Processing Patterns

    1. 1. Batch Job Pattern
    2. 2. Scheduled Batch Pattern
    3. 3. Parallel Batch Processing Pattern
    4. 4. Chunking Pattern
    5. 5. Checkpoint/Restart Pattern
    6. 6. Master/Worker Pattern
    7. 7. Staged Event-Driven Architecture Pattern
    8. 8. Event-Driven Batch Pattern
    9. 9. Incremental Batch Pattern
    10. 10. Batch Compensation Pattern

  40. Implementing Testing Patterns

    1. 1. Consumer-Driven Contract Testing Pattern
    2. 2. Service Component Test Pattern
    3. 3. Integration Contract Test Pattern
    4. 4. End-to-End Test Pattern
    5. 5. Service Virtualization Pattern
    6. 6. Test Double Pattern
    7. 7. Chaos Engineering Pattern
    8. 8. Canary Testing Pattern
    9. 9. Shadow Testing Pattern
    10. 10. Synthetic Transaction Pattern

  41. Understanding Microservices Anti-Patterns

    1. 1. Avoiding Distributed Monolith Anti-Pattern
    2. 2. Avoiding Shared Database Anti-Pattern
    3. 3. Avoiding Chatty Services Anti-Pattern
    4. 4. Avoiding God Service Anti-Pattern
    5. 5. Avoiding Nanoservice Anti-Pattern
    6. 6. Avoiding Spaghetti Architecture Anti-Pattern
    7. 7. Avoiding Wrong Cuts Anti-Pattern
    8. 8. Avoiding Synchronous Chains Anti-Pattern
    9. 9. Avoiding Mega Service Anti-Pattern
    10. 10. Avoiding Shared Library Overuse Anti-Pattern