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🚀 Optimize CI Caching and Parallel Execution #9

@kengggg

Description

@kengggg

🚀 Optimize CI Caching and Parallel Execution

Overview

Optimize the CI pipeline for faster feedback with improved caching strategies, parallel job execution, and workflow efficiency to achieve sub-5-minute CI completion times.

Tasks

1. Advanced Cargo Caching

  • Multi-layer caching strategy - Dependencies, incremental builds, tools
  • Cache key optimization - More granular cache invalidation
  • Cross-job cache sharing - Shared cache between check/build jobs
  • Cache size optimization - Prevent cache bloat

2. Parallel Job Optimization

  • Job dependency analysis - Minimize sequential dependencies
  • Matrix job optimization - Smart platform distribution
  • Selective job execution - Skip unnecessary jobs on docs-only changes
  • Fast-fail strategies - Early termination on critical failures

3. Workflow Efficiency

  • Conditional step execution - Skip steps based on changes
  • Tool installation optimization - Pre-installed runners where possible
  • Output optimization - Reduce verbose logging
  • Resource allocation - Optimal runner sizing

4. Incremental Build Optimization

  • Target-specific building - Only build what changed
  • Artifact reuse - Share build artifacts between jobs
  • Compiler cache optimization - sccache integration
  • Link-time optimization tuning - Balance speed vs optimization

Acceptance Criteria

  • CI feedback time under 5 minutes for typical changes
  • Cache hit rate above 80% for dependency builds
  • Parallel jobs execute efficiently without resource contention
  • Failed builds provide fast feedback (under 2 minutes)
  • Documentation-only changes skip heavy jobs

Implementation Details

Enhanced Caching Strategy

- name: Setup Rust Cache
  uses: Swatinem/rust-cache@v2
  with:
    # Cache by Cargo.lock hash and target
    key: ${{ runner.os }}-cargo-${{ hashFiles('**/Cargo.lock') }}-${{ matrix.target }}
    # Separate cache for tools
    cache-directories: |
      ~/.cargo/bin
      ~/.cargo/.crates.toml
      ~/.cargo/.crates2.json
    # Clean old cache entries
    cache-clean: true

Optimized Job Structure

strategy:
  matrix:
    include:
      # Fast checks first
      - os: ubuntu-latest
        target: x86_64-unknown-linux-gnu
        rust-version: stable
        job-type: fast-check
      
      # Platform builds in parallel  
      - os: ubuntu-latest
        target: x86_64-unknown-linux-gnu
        job-type: build
      - os: macos-latest
        target: x86_64-apple-darwin
        job-type: build
      - os: windows-latest
        target: x86_64-pc-windows-msvc
        job-type: build
  
  # Don't cancel other jobs on failure for comprehensive testing
  fail-fast: false

Conditional Execution

- name: Check if code changed
  id: changes
  uses: dorny/paths-filter@v2
  with:
    filters: |
      rust:
        - 'src/**'
        - 'tests/**'
        - 'Cargo.toml'
        - 'Cargo.lock'
      docs:
        - '*.md'
        - 'docs/**'

- name: Run tests
  if: steps.changes.outputs.rust == 'true'
  run: cargo test

Fast-Fail Implementation

jobs:
  quick-check:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout
        uses: actions/checkout@v4
      
      - name: Quick syntax check
        run: cargo check --workspace
      
      - name: Quick test compilation
        run: cargo test --no-run
  
  full-tests:
    needs: quick-check
    # Only run if quick check passes

Optimization Targets

1. Cache Optimization

  • Current: Basic Rust cache
  • Target: Multi-layer caching with 80%+ hit rate
  • Expected speedup: 2-3x for dependency builds

2. Job Parallelization

  • Current: Sequential check → build jobs
  • Target: Parallel execution where possible
  • Expected speedup: 40-50% reduction in total time

3. Selective Execution

  • Current: All jobs run on every change
  • Target: Smart job skipping based on changes
  • Expected speedup: 60-80% for docs/config changes

4. Tool Optimization

  • Current: Install tools on every run
  • Target: Cache tools, use pre-installed where possible
  • Expected speedup: 30-60 seconds saved per job

Monitoring and Metrics

- name: Report CI timing
  run: |
    echo "Job started at: ${{ steps.start-time.outputs.time }}"
    echo "Job duration: $(($(date +%s) - ${{ steps.start-time.outputs.timestamp }}))"
    echo "Cache status: ${{ steps.cache.outputs.cache-hit }}"

Implementation Phases

Phase A: Quick Wins (Day 1)

  • Enhanced Rust caching configuration
  • Conditional job execution for docs changes
  • Tool installation optimization

Phase B: Parallelization (Day 2)

  • Job dependency restructuring
  • Matrix optimization
  • Fast-fail implementation

Phase C: Advanced (Day 3)

  • Incremental build optimization
  • Artifact sharing between jobs
  • Performance monitoring integration

Testing

  • Measure CI times before/after changes
  • Test cache hit rates across different change types
  • Verify all optimizations maintain test coverage
  • Confirm parallel jobs don't have resource conflicts

Timeline

Estimate: 2-3 days
Priority: Medium
Phase: 1

Labels

enhancement, ci/cd, phase-1, priority-medium, performance

Dependencies

  • Can start immediately
  • Should coordinate with other Phase 1 tasks to avoid conflicts

Part of Phase 1: Enhanced CI Foundation - Critical for developer productivity and fast feedback loops

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    ci/cdContinuous integration and deploymentenhancementNew feature or requestperformancePerformance improvements and benchmarkingphase-1Phase 1: Enhanced CI Foundationpriority-mediumMedium priority issues

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