Learn Java Error, Reliability &amp; Observability Engineering

Mental model failure-first untuk memahami fault, error, failure, invariant break, blast radius, recovery, dan evidence pada sistem Java produksi.

Error Taxonomy

20 min

Taxonomy error produksi untuk aplikasi Java: membedakan bug, domain failure, dependency failure, overload, timeout, data inconsistency, dan policy failure secara operasional.

Java Throwable Model

Deep dive model Throwable Java: Exception, RuntimeException, Error, checked/unchecked, cause chain, stack trace, suppressed exception, dan konsekuensi desain produksi.

Exception Semantics Deep Dive

Deep dive semantics exception Java: throw, catch, stack unwinding, finally, try-with-resources, suppressed exception, cause chain, dan failure evidence.

Checked vs Unchecked Strategy

15 min

Strategi checked vs unchecked exception untuk desain API Java, caller obligation, recoverability, boundary translation, domain error, dan production reliability.

Domain Error Design

Domain error design for Java systems: business failures, validation failures, rule violations, state conflicts, auditability, and operational semantics.

Error Codes & Problem Details

Designing stable error codes and RFC 9457 Problem Details responses for Java APIs, supportability, machine clients, and regulated platforms.

Exception Hierarchy Design

15 min

Designing maintainable Java exception hierarchies with clear ownership, metadata, boundary translation, and observability semantics.

Result Types & Explicit Errors

Using result types, explicit failures, Optional, sealed outcomes, and exception boundaries to model expected error paths in Java systems.

Boundary Error Translation

17 min

Translating internal Java failures into stable external contracts across REST, persistence, messaging, jobs, and service boundaries without leaking implementation detail.

Validation & Rejection Patterns

17 min

Designing validation, rejection, and rule enforcement patterns in Java systems with fail-fast, error accumulation, domain defensibility, auditability, and observability.

Retry, Timeout & Idempotency

Retry, timeout, idempotency, backoff, jitter, deadline propagation, retry safety, and duplicate-effect control for production Java systems.

Circuit Breaker, Bulkhead & Rate Limit

Circuit breaker, bulkhead, rate limiter, load shedding, failure isolation, and resilience policy design for production Java services.

Fallback & Graceful Degradation

Fallback and graceful degradation sebagai strategi reliability yang eksplisit, aman, terukur, dan dapat dipertanggungjawabkan di sistem Java produksi.

Cancellation, Interruption & Cleanup

Cancellation, interruption, dan cleanup di Java sebagai fondasi reliable lifecycle, graceful shutdown, timeout propagation, dan resource safety.

Async & Reactive Error Flow

Async and reactive error flow in Java, covering CompletableFuture, CompletionStage, Reactor, cancellation, context propagation, and production observability.

Virtual Threads Error Observability

Virtual threads error observability in Java, including failure ownership, blocking I/O migration, thread naming, pinning implications, context propagation, structured concurrency, and telemetry strategy.

Resource Lifecycle Failure

Resource lifecycle failure in Java production systems: ownership, acquisition, use, close, suppressed exception, leak prevention, cleanup ordering, and observability.

Graceful Shutdown in JVM

11 min

Graceful shutdown in the JVM: shutdown sequence, shutdown hooks, executor drain, in-flight work, bounded cleanup, signal handling assumptions, and ordering hazards.

Graceful Shutdown in Spring & Kubernetes

Graceful shutdown for Spring Boot services on Kubernetes: readiness drain, Spring lifecycle phases, termination grace budget, preStop hazards, sidecars, telemetry flushing, and production-grade shutdown contracts.

Logging Mental Model

Logging mental model for production Java systems: logs as operational evidence, event design, severity semantics, structured context, cost, privacy, retention, and failure investigation discipline.

Structured Logging with SLF4J, Logback, and Log4j

Structured logging in production Java systems using SLF4J 2.x, Logback, Log4j2, JSON output, key-value fields, MDC/ThreadContext, stack trace policy, log schemas, and operational guardrails.

Log Correlation and Context

Log correlation and context propagation in Java systems: correlation ID, request ID, trace ID, span ID, MDC, ThreadContext, async boundaries, Reactor context, virtual threads, tenant context, audit context, and failure investigation.

Metrics Mental Model

18 min

Metrics mental model untuk engineer Java: counter, gauge, histogram, timer, cardinality, RED/USE, SLI/SLO, alerting semantics, dan failure-oriented metric design.

Micrometer, Prometheus & Actuator

11 min

Praktik instrumentasi metrics Java production-grade dengan Micrometer, Prometheus, dan Spring Boot Actuator: meter registry, counters, gauges, timers, histograms, tags, dashboards, alerts, dan testing.

Distributed Tracing Mental Model

17 min

Mental model distributed tracing untuk Java production systems: trace, span, parent-child, causal chain, critical path, context propagation, sampling, span design, dan debugging failure lintas service.

OpenTelemetry Java

13 min

Praktik OpenTelemetry Java production-grade: Java agent, manual instrumentation, tracer, span, context propagation, exporter, collector, semantic conventions, exception recording, logs correlation, sampling, dan debugging trace gap.

Context Propagation

Context propagation untuk Java production systems: ThreadLocal, MDC, OpenTelemetry Context, baggage, async boundary, Reactor, virtual threads, messaging, batch jobs, dan failure mode yang membuat logs/traces/metrics tidak bisa dikorelasikan.

Telemetry Quality Engineering

Telemetry quality engineering untuk Java production systems: signal-to-noise ratio, cardinality budget, sampling, semantic conventions, schema governance, telemetry testing, privacy, cost control, dan anti-pattern observability.

Alerting & Incident Response

Alerting dan incident response untuk Java production systems: SLO, error budget, burn-rate alerting, symptom-based paging, runbook, escalation, ownership, incident lifecycle, dan post-incident feedback loop.

Debugging Production Failures

Debugging production failures untuk Java systems: evidence chain, hypothesis loop, logs-metrics-traces correlation, thread dump, heap dump, JFR, GC, Kubernetes/deployment context, dan production-safe diagnosis.

Error Management Architecture

Error management architecture untuk sistem Java produksi: error catalog, boundary translation, observability mapping, audit evidence, governance, dan incident feedback loop.

Patterns & Anti-Patterns