Learn Java Source, Package, Dependency, Build, Release & Deployment Engineering

Kaufman-based skill map for mastering Java source layout, package/module boundaries, dependency governance, build systems, release engineering, and deployment lifecycle.

End-to-end Java artifact lifecycle from source code to runtime deployment, including build inputs, classpath/module-path, packaging, publishing, release promotion, and deployment drift.

Source layout and repository topology for advanced Java engineering: standard source trees, repo boundaries, module boundaries, ownership, deployment alignment, monorepo trade-offs, and structural failure modes.

Java packages as architectural boundaries: namespace, access control, package-private design, internal APIs, package-by-feature/capability, split packages, package invariants, and safe refactoring.

Practical deep dive into JPMS, module-info.java, module path, classpath interop, strong encapsulation, services, migration strategy, and when to use Java modules in real enterprise systems.

Deep practical guide to Java source sets, generated code, annotation processing, build inputs, deterministic generation, IDE synchronization, and generated-code drift control.

Maven mental model untuk engineer senior: POM, coordinates, lifecycle, phases, goals, plugins, effective POM, wrapper, settings, profiles, dan invariant enterprise build.

Deep dive Maven dependency resolution: direct dan transitive dependencies, scopes, optional, exclusions, dependency mediation, dependencyManagement, BOM, classpath, convergence, dan diagnostic workflow.

Maven multi-module enterprise builds, reactor ordering, parent versus aggregator POMs, module taxonomy, CI strategies, and failure modeling for large Java systems.

Maven 4 mental model, build POM versus consumer POM, model version 4.1.0, subprojects, root directory semantics, BOM packaging, CI-friendly versions, reproducibility, and migration strategy.

Gradle mental model for advanced Java engineers: initialization, configuration, execution, projects, tasks, plugins, lazy configuration, and build graph reasoning.

Deep practical guide to Gradle dependency configurations, Java Library api vs implementation, runtime and test classpaths, platforms, constraints, and version catalogs.

Gradle multi-project builds, composite builds, included builds, buildSrc, convention plugins, and enterprise build logic design.

Gradle performance engineering through incremental builds, task inputs/outputs, local and remote build cache, configuration cache, daemon, parallelism, and correctness-first optimization.

Decision framework for choosing Maven or Gradle in serious Java systems using lifecycle, graph complexity, governance, performance, publishing, and enterprise operating-model trade-offs.

A rigorous migration playbook for moving between Maven and Gradle without breaking artifact contracts, dependency semantics, publishing compatibility, CI behavior, or release reproducibility.

Dependency graph governance for serious Java systems: ownership, policy, approval lifecycle, direct and transitive dependency control, risk scoring, drift management, and enterprise operating model.

Versioning, alignment, BOMs, Gradle platforms, dependency constraints, version catalogs, compatibility contracts, and enterprise dependency baseline strategy for Java systems.