Microservices & Architectural Patterns
Phase 10 provides an exhaustive, production-grade deep dive into enterprise microservices and modern distributed architectural patterns.
All Topics in Phase 10
0 of 20 completedEvaluate organizational and technical trade-offs: Deployment velocity, blast radius, cognitive load, network latency tax, and Conway's Law.
Pragmatic decomposition guidelines: The Modular Monolith, premature distributed system traps, and clear indicators for service extraction.
Define clean microservice boundaries: Eric Evans' DDD, Bounded Contexts, Ubiquitous Language, Aggregates, and Domain Events.
Coordinate microservices: Synchronous RPC (gRPC/REST), Asynchronous messaging (Kafka/RabbitMQ), and Hybrid Choreography.
Offload networking from application code: Control plane vs Data plane, mTLS zero-trust encryption, traffic shifting, and distributed telemetry.
Combine data across microservices: In-memory parallel fan-out aggregation, scatter-gather, timeout handling, and partial degradation.
Safely migrate legacy monoliths to microservices: Martin Fowler's pattern, routing proxies, dual-writing, dark launching, and gradual sunsetting.
Enforce true domain encapsulation: Private databases, independent schema migrations, polyglot storage, and preventing backdoor table coupling.
Recognize architectural decay: Distributed coupling, coordination bottlenecks, conflicting ORM migrations, and connection pool exhaustion.
Coordinate state across isolated service databases: XA/2PC blocking limits, Choreography/Orchestration Sagas, and Try-Confirm-Cancel (TCC).
Prevent cascading system collapse: CLOSED, OPEN, and HALF-OPEN states, failure rate thresholds, reset timeouts, and Resilience4j/Envoy.
Isolate resource pools: Ship hull compartments analogy, dedicated thread pools per service, semaphore isolation, and preventing resource starvation.
Prevent self-inflicted retry stampedes: Linear vs Exponential backoff, Full Jitter, Equal Jitter, Decorrelated Jitter, and retry budgets.
Prevent thread hanging: Connection timeouts, Socket read timeouts, Gateway timeouts, and Deadline Propagation in gRPC/HTTP.
Maintain user experience during partial outages: Stale cache fallbacks, default static responses, feature shedding, and degraded UX tiers.
Extend container capabilities without modifying application code: Logging sidecars, proxy sidecars (Envoy), security sidecars, and localhost IPC.
Abstract outbound connectivity: Client-side connection pooling, circuit breaking, protocol translation, and sharded database routing.
Isolate modern architectures from legacy systems: Domain translation, semantic adapters, facade layers, and preventing legacy domain leakage.
Evaluate Function-as-a-Service: Cold starts, execution time limits, statelessness, auto-scaling to zero, and total cost of ownership (TCO).