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bazel-build-optimization

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Bazel Build Optimization

Production patterns for Bazel in large-scale monorepos.

When to Use This Skill

  • Setting up Bazel for monorepos
  • Configuring remote caching/execution
  • Optimizing build times
  • Writing custom Bazel rules
  • Debugging build issues
  • Migrating to Bazel

Core Concepts

1. Bazel Architecture

workspace/
├── WORKSPACE.bazel       # External dependencies
├── .bazelrc              # Build configurations
├── .bazelversion         # Bazel version
├── BUILD.bazel           # Root build file
├── apps/
│   └── web/
│       └── BUILD.bazel
├── libs/
│   └── utils/
│       └── BUILD.bazel
└── tools/
    └── bazel/
        └── rules/

2. Key Concepts

ConceptDescription
TargetBuildable unit (library, binary, test)
PackageDirectory with BUILD file
LabelTarget identifier //path/to:target
RuleDefines how to build a target
AspectCross-cutting build behavior

Templates

Template 1: WORKSPACE Configuration

# WORKSPACE.bazel
workspace(name = "myproject")

load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")

# Rules for JavaScript/TypeScript
http_archive(
    name = "aspect_rules_js",
    sha256 = "...",
    strip_prefix = "rules_js-1.34.0",
    url = "https://github.com/aspect-build/rules_js/releases/download/v1.34.0/rules_js-v1.34.0.tar.gz",
)

load("@aspect_rules_js//js:repositories.bzl", "rules_js_dependencies")
rules_js_dependencies()

load("@rules_nodejs//nodejs:repositories.bzl", "nodejs_register_toolchains")
nodejs_register_toolchains(
    name = "nodejs",
    node_version = "20.9.0",
)

load("@aspect_rules_js//npm:repositories.bzl", "npm_translate_lock")
npm_translate_lock(
    name = "npm",
    pnpm_lock = "//:pnpm-lock.yaml",
    verify_node_modules_ignored = "//:.bazelignore",
)

load("@npm//:repositories.bzl", "npm_repositories")
npm_repositories()

# Rules for Python
http_archive(
    name = "rules_python",
    sha256 = "...",
    strip_prefix = "rules_python-0.27.0",
    url = "https://github.com/bazelbuild/rules_python/releases/download/0.27.0/rules_python-0.27.0.tar.gz",
)

load("@rules_python//python:repositories.bzl", "py_repositories")
py_repositories()

Template 2: .bazelrc Configuration

# .bazelrc

# Build settings
build --enable_platform_specific_config
build --incompatible_enable_cc_toolchain_resolution
build --experimental_strict_conflict_checks

# Performance
build --jobs=auto
build --local_cpu_resources=HOST_CPUS*.75
build --local_ram_resources=HOST_RAM*.75

# Caching
build --disk_cache=~/.cache/bazel-disk
build --repository_cache=~/.cache/bazel-repo

# Remote caching (optional)
build:remote-cache --remote_cache=grpcs://cache.example.com
build:remote-cache --remote_upload_local_results=true
build:remote-cache --remote_timeout=3600

# Remote execution (optional)
build:remote-exec --remote_executor=grpcs://remote.example.com
build:remote-exec --remote_instance_name=projects/myproject/instances/default
build:remote-exec --jobs=500

# Platform configurations
build:linux --platforms=//platforms:linux_x86_64
build:macos --platforms=//platforms:macos_arm64

# CI configuration
build:ci --config=remote-cache
build:ci --build_metadata=ROLE=CI
build:ci --bes_results_url=https://results.example.com/invocation/
build:ci --bes_backend=grpcs://bes.example.com

# Test settings
test --test_output=errors
test --test_summary=detailed

# Coverage
coverage --combined_report=lcov
coverage --instrumentation_filter="//..."

# Convenience aliases
build:opt --compilation_mode=opt
build:dbg --compilation_mode=dbg

# Import user settings
try-import %workspace%/user.bazelrc

Template 3: TypeScript Library BUILD

# libs/utils/BUILD.bazel
load("@aspect_rules_ts//ts:defs.bzl", "ts_project")
load("@aspect_rules_js//js:defs.bzl", "js_library")
load("@npm//:defs.bzl", "npm_link_all_packages")

npm_link_all_packages(name = "node_modules")

ts_project(
    name = "utils_ts",
    srcs = glob(["src/**/*.ts"]),
    declaration = True,
    source_map = True,
    tsconfig = "//:tsconfig.json",
    deps = [
        ":node_modules/@types/node",
    ],
)

js_library(
    name = "utils",
    srcs = [":utils_ts"],
    visibility = ["//visibility:public"],
)

# Tests
load("@aspect_rules_jest//jest:defs.bzl", "jest_test")

jest_test(
    name = "utils_test",
    config = "//:jest.config.js",
    data = [
        ":utils",
        "//:node_modules/jest",
    ],
    node_modules = "//:node_modules",
)

Template 4: Python Library BUILD

# libs/ml/BUILD.bazel
load("@rules_python//python:defs.bzl", "py_library", "py_test", "py_binary")
load("@pip//:requirements.bzl", "requirement")

py_library(
    name = "ml",
    srcs = glob(["src/**/*.py"]),
    deps = [
        requirement("numpy"),
        requirement("pandas"),
        requirement("scikit-learn"),
        "//libs/utils:utils_py",
    ],
    visibility = ["//visibility:public"],
)

py_test(
    name = "ml_test",
    srcs = glob(["tests/**/*.py"]),
    deps = [
        ":ml",
        requirement("pytest"),
    ],
    size = "medium",
    timeout = "moderate",
)

py_binary(
    name = "train",
    srcs = ["train.py"],
    deps = [":ml"],
    data = ["//data:training_data"],
)

Template 5: Custom Rule for Docker

# tools/bazel/rules/docker.bzl
def _docker_image_impl(ctx):
    dockerfile = ctx.file.dockerfile
    base_image = ctx.attr.base_image
    layers = ctx.files.layers

    # Build the image
    output = ctx.actions.declare_file(ctx.attr.name + ".tar")

    args = ctx.actions.args()
    args.add("--dockerfile", dockerfile)
    args.add("--output", output)
    args.add("--base", base_image)
    args.add_all("--layer", layers)

    ctx.actions.run(
        inputs = [dockerfile] + layers,
        outputs = [output],
        executable = ctx.executable._builder,
        arguments = [args],
        mnemonic = "DockerBuild",
        progress_message = "Building Docker image %s" % ctx.label,
    )

    return [DefaultInfo(files = depset([output]))]

docker_image = rule(
    implementation = _docker_image_impl,
    attrs = {
        "dockerfile": attr.label(
            allow_single_file = [".dockerfile", "Dockerfile"],
            mandatory = True,
        ),
        "base_image": attr.string(mandatory = True),
        "layers": attr.label_list(allow_files = True),
        "_builder": attr.label(
            default = "//tools/docker:builder",
            executable = True,
            cfg = "exec",
        ),
    },
)

Template 6: Query and Dependency Analysis

# Find all dependencies of a target
bazel query "deps(//apps/web:web)"

# Find reverse dependencies (what depends on this)
bazel query "rdeps(//..., //libs/utils:utils)"

# Find all targets in a package
bazel query "//libs/..."

# Find changed targets since commit
bazel query "rdeps(//..., set($(git diff --name-only HEAD~1 | sed 's/.*/"&"/' | tr '\n' ' ')))"

# Generate dependency graph
bazel query "deps(//apps/web:web)" --output=graph | dot -Tpng > deps.png

# Find all test targets
bazel query "kind('.*_test', //...)"

# Find targets with specific tag
bazel query "attr(tags, 'integration', //...)"

# Compute build graph size
bazel query "deps(//...)" --output=package | wc -l

Template 7: Remote Execution Setup

# platforms/BUILD.bazel
platform(
    name = "linux_x86_64",
    constraint_values = [
        "@platforms//os:linux",
        "@platforms//cpu:x86_64",
    ],
    exec_properties = {
        "container-image": "docker://gcr.io/myproject/bazel-worker:latest",
        "OSFamily": "Linux",
    },
)

platform(
    name = "remote_linux",
    parents = [":linux_x86_64"],
    exec_properties = {
        "Pool": "default",
        "dockerNetwork": "standard",
    },
)

# toolchains/BUILD.bazel
toolchain(
    name = "cc_toolchain_linux",
    exec_compatible_with = [
        "@platforms//os:linux",
        "@platforms//cpu:x86_64",
    ],
    target_compatible_with = [
        "@platforms//os:linux",
        "@platforms//cpu:x86_64",
    ],
    toolchain = "@remotejdk11_linux//:jdk",
    toolchain_type = "@bazel_tools//tools/jdk:runtime_toolchain_type",
)

Performance Optimization

# Profile build
bazel build //... --profile=profile.json
bazel analyze-profile profile.json

# Identify slow actions
bazel build //... --execution_log_json_file=exec_log.json

# Memory profiling
bazel build //... --memory_profile=memory.json

# Skip analysis cache
bazel build //... --notrack_incremental_state

Best Practices

Do's

  • Use fine-grained targets - Better caching
  • Pin dependencies - Reproducible builds
  • Enable remote caching - Share build artifacts
  • Use visibility wisely - Enforce architecture
  • Write BUILD files per directory - Standard convention

Don'ts

  • Don't use glob for deps - Explicit is better
  • Don't commit bazel-* dirs - Add to .gitignore
  • Don't skip WORKSPACE setup - Foundation of build
  • Don't ignore build warnings - Technical debt

Resources

Source

git clone https://github.com/wshobson/agents/blob/main/plugins/developer-essentials/skills/bazel-build-optimization/SKILL.mdView on GitHub

Overview

Bazel Build Optimization provides production patterns for managing large-scale monorepos. It focuses on configuring Bazel, enabling remote caching and execution, and optimizing build performance across enterprise codebases to save time and resources.

How This Skill Works

The skill centers on Bazel’s core concepts (workspace, BUILD files, labels, rules, aspects) and offers concrete templates for WORKSPACE and .bazelrc configurations. It guides you through enabling remote caching/execution, tuning parallelism and resource limits, and applying platform-specific settings to accelerate builds in big codebases.

When to Use It

  • Setting up Bazel for monorepos
  • Configuring remote caching and remote execution
  • Optimizing build times in enterprise codebases
  • Writing custom Bazel rules
  • Migrating existing projects to Bazel

Quick Start

  1. Step 1: Create or update WORKSPACE.bazel with necessary http_archive rules and toolchain registrations for your languages
  2. Step 2: Add Bazel configuration for caching and remote execution in .bazelrc (e.g., --disk_cache, --remote_cache, --remote_executor)
  3. Step 3: Run a build to verify correctness and measure improvements, then iterate on parallelism and platform configs

Best Practices

  • Start with a clean, well-organized WORKSPACE layout and pin external dependencies
  • Enable and tune remote caching and remote execution in .bazelrc
  • Tune build parallelism and resource settings (jobs, CPU/RAM resources)
  • Create platform-specific configurations (Linux/macOS) for consistency
  • Document migration steps and maintain reproducible builds with fixed versions

Example Use Cases

  • A large frontend monorepo using remote caching to reduce CI build times
  • An enterprise backend codebase migrating to Bazel with remote execution for parallelism
  • A polyglot repo implementing a custom Bazel rule to optimize asset pipelines
  • CI pipelines configured to use remote caching and remote-backend results
  • Incremental migration from a non-Bazel system to Bazel across modules

Frequently Asked Questions

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