Learn Java Microservices Design and Architect

Membongkar miskonsepsi bahwa microservices adalah service kecil, lalu membangun mental model microservice sebagai unit perubahan, ownership, deployment, data authority, dan failure isolation.

Reality check tentang konsekuensi distributed system dalam Java microservices: partial failure, latency, timeout, retry amplification, network partition, overload, dan cascading failure.

Membangun mental model bahwa arsitektur microservices bukan gambar kotak-panah, melainkan sistem constraint, trade-off, feedback loop, dan fitness function yang menjaga kemampuan sistem untuk berubah.

Mendesain service boundary sebagai boundary kapabilitas bisnis, ownership, lifecycle, policy, data authority, dan change frequency; bukan berdasarkan technical layer, tabel, atau CRUD entity.

Memahami perbedaan nyata antara modular monolith, microservices, dan distributed monolith; kapan memilih masing-masing, bagaimana mengenali smell, dan bagaimana membuat keputusan arsitektur berbasis constraint.

Memahami topology enterprise microservices sebagai graph capability, ownership, dependency, data authority, runtime path, dan blast radius; bukan sekadar daftar service di diagram.

Mempelajari domain discovery untuk microservices: event storming, capability mapping, process mapping, policy discovery, dan cara mengubah pemahaman domain menjadi kandidat service boundary yang masuk akal.

Menerapkan bounded context dalam Java microservices: language boundary, consistency boundary, context map, upstream-downstream relationship, anti-corruption layer, dan cara menghindari shared model yang menciptakan distributed monolith.

Model keputusan service granularity untuk Java microservices: cara menentukan service terlalu besar, terlalu kecil, atau cukup tepat berdasarkan ownership, invariant, consistency, deployability, scalability, reliability, dan cost of distribution.

Mengubah business capability map menjadi service catalog production-grade: service charter, owner, API surface, data ownership, SLO, dependencies, maturity, runtime metadata, governance, dan contoh template YAML/MDX untuk Java microservices.

Membedah process boundary, long-running workflow, state machine, saga, orchestration, choreography, SLA, human task, compensation, dan cara mendesain lifecycle bisnis lintas microservices tanpa membuat distributed monolith.

Mempelajari cross-entity impact analysis untuk microservices: impact graph, state propagation, policy propagation, audit implication, dependency risk, read-model impact, dan cara mendesain perubahan lintas entity secara defensible.

Mempelajari Anti-Corruption Layer dalam Java microservices: translation boundary, adapter, facade, semantic mapping, legacy isolation, external system isolation, event translation, error translation, dan testing strategy.

Mempelajari Architecture Decision Records untuk service boundary microservices: context, forces, options, decision, consequences, fitness function, decision log, traceability, dan governance tanpa birokrasi berlebihan.

Anatomy of a production-grade Java microservice: internal architecture, runtime contract, dependency direction, observability surface, operational readiness, and implementation skeleton.

Decision framework for choosing Spring Boot, Jakarta EE, MicroProfile, Quarkus, Micronaut, or plain Java for production-grade Java microservices.

Membandingkan layered architecture, hexagonal architecture, dan clean architecture untuk Java microservices production-grade, dengan fokus dependency direction, ports/adapters, domain protection, dan implementasi nyata.

Mendesain package structure Java microservices yang scalable, boundary-aware, testable, dan cocok untuk tim enterprise tanpa jatuh ke package-by-layer, god common package, atau modularity theater.

Memahami application service pattern dalam Java microservices sebagai use-case coordinator, transaction boundary, dan orchestration layer tanpa mencuri business logic dari domain model.

Mendesain domain model di dalam Java microservices dengan rich domain behavior, aggregate, invariant, value object, domain event, dan persistence boundary yang sehat.

Mendesain infrastructure adapters di Java microservices agar domain tetap bersih, integrasi eksternal terkendali, error diterjemahkan secara eksplisit, dan service mudah dites serta dioperasikan.

Memperlakukan konfigurasi Java microservice sebagai runtime contract yang tervalidasi, observable, aman, dan eksplisit agar perilaku service konsisten lintas environment.

API service sebagai product contract: consumer empathy, semantic stability, compatibility, operability, governance, dan implementasi boundary Java yang tidak bocor ke domain internal.

Desain REST API production-grade untuk Java microservices: resource modeling, task-oriented endpoints, HTTP semantics, status code, pagination, filtering, idempotency, Problem Details, ETag, dan controller implementation pattern.

Mendesain command, query, dan task-oriented API untuk Java microservices agar kontrak lebih dekat ke intent bisnis, aman terhadap retry, tidak chatty, dan tetap evolvable.

Mendesain dan mengoperasikan gRPC/binary RPC untuk Java microservices: proto service boundary, streaming, deadlines, cancellation, status codes, protobuf evolution, client behavior, observability, dan production trade-off.

Mendesain event-driven collaboration model untuk Java microservices: domain event, integration event, event notification, event-carried state transfer, event sourcing distinction, semantic contract, idempotency, ordering, dan consumer autonomy.

Mendesain pola kolaborasi antar Java microservices: request-response, asynchronous messaging, command queue, publish-subscribe, orchestration, choreography, API composition, BFF, hybrid collaboration, dan decision framework.

API composition dan aggregation untuk Java microservices production-grade: gateway aggregation, BFF, aggregator service, fan-out latency, partial failure, degraded response, caching, observability, dan Java implementation model.

Strategi versioning dan compatibility untuk Java microservices: backward compatibility, tolerant reader, consumer-driven contracts, breaking change taxonomy, expand-contract rollout, REST/event/gRPC evolution, deprecation, dan migration window.

Data ownership dalam microservices: authority, private persistence, database-per-service, source of truth, duplication, read model, migration dari shared schema, dan governance kepemilikan data.

Transaction boundary design dalam Java microservices: local transaction, business transaction, distributed transaction trap, saga handoff, outbox, idempotency, isolation, optimistic locking, dan placement @Transactional.

Eventual consistency dalam Java microservices dengan makna bisnis: consistency window, read-your-writes, monotonic reads, bounded staleness, projection lag, reconciliation, user-visible state, invariants, dan implementasi Java yang retry-safe.

Saga pattern di Java microservices: business transaction, local transaction sequence, choreography, orchestration, compensation, timeout, retry, idempotency, saga state, process manager, testing, observability, dan failure handling.

Transactional outbox, inbox deduplication, reliable event publication, message processing semantics, and effectively-once behavior in Java microservices.

Idempotency as a first-class design rule for Java microservices: idempotency keys, natural idempotency, retry-safe commands, message deduplication, response replay, and duplicate side-effect defense.

Read model and query-side design for Java microservices: projections, materialized views, query services, denormalized read models, staleness contract, replay, reconciliation, and ownership-safe querying.

Cross-service reporting and analytics for Java microservices: operational reporting, analytical reporting, CDC, event streams, data products, lakehouse/warehouse integration, reconciliation, governance, lineage, privacy, and avoiding reporting-driven coupling.

Failure model Java microservices production-grade: taxonomy kegagalan, timeout, overload, saturation, dependency failure, partial availability, dan cara mendesain service agar tidak runtuh saat dependency bermasalah.

Timeout, deadline, dan budget propagation dalam Java microservices: cara mendesain batas waktu end-to-end, membagi budget antar hop, menghindari retry storm, dan mengonfigurasi HTTP/gRPC client secara production-grade.

Retry, backoff, jitter, retry budget, dan retry storm sebagai control loop reliability dalam Java microservices production-grade.

Circuit breaker, bulkhead, dan rate limiter sebagai guardrail utama untuk mencegah cascading failure dalam Java microservices.

Load shedding dan graceful degradation sebagai strategi eksplisit untuk menjaga sistem tetap hidup ketika traffic atau dependency melampaui kapasitas aman.

Backpressure sebagai flow-control discipline untuk synchronous API, async messaging, worker pool, reactive streams, dan Java microservices agar producer tidak menghancurkan consumer.

Membangun mental model dan mekanisme pencegahan cascading failure pada Java microservices, mulai dari overload propagation, fan-out amplification, retry storm, dependency isolation, sampai emergency levers.

Chaos thinking untuk software architect: merancang eksperimen failure yang aman, berbasis hipotesis, dibatasi blast radius, terukur oleh SLO, dan menghasilkan perbaikan arsitektur nyata pada Java microservices.

Observability mental model untuk Java microservices: logs, metrics, traces, telemetry contract, diagnosis workflow, dan desain service yang bisa dioperasikan tanpa menebak.

Structured logging di Java microservices: log schema, correlation ID, MDC, JSON logs, redaction, event naming, async logging, security logging, dan production review checklist.

Metrics yang benar-benar berguna untuk Java microservices: RED, USE, golden signals, business metrics, latency percentile, saturation, cardinality, SLO, dashboard, alerting, dan instrumentation discipline.

Distributed tracing dengan OpenTelemetry untuk Java microservices: trace, span, context propagation, semantic conventions, sampling, baggage, collector, Java agent, manual instrumentation, dan trace-driven debugging.

Health checks, readiness, liveness, startup probe, graceful shutdown, dependency health semantics, dan probe design untuk Java microservices production-grade.

Alerting dan SLO design untuk Java microservices: SLI, SLO, error budget, burn-rate alert, symptom-based alerting, runbook, severity, dan operational ownership.

Runbooks dan operational playbooks untuk Java microservices: diagnosis tree, mitigation steps, escalation path, known bad states, evidence capture, dan incident-ready operations.

Production debugging tanpa menebak untuk Java microservices: symptom-to-hypothesis, trace-log-metric triangulation, dependency graph diagnosis, latency/error/backlog analysis, dan incident learning loop.