# GitLab CI核心事件处理伪代码
class PipelineScheduler {
  private EventBus eventBus;
  private ExecutorService executor;

  public void onPushEvent(PushEvent event) {
    PipelineContext context = buildContext(event);
    PipelineDAG dag = buildDependencyGraph(context);
    executePipeline(dag);
  }

  private void executePipeline(PipelineDAG dag) {
    // 基于拓扑排序的任务调度
    List<JobNode> sortedJobs = topologicalSort(dag);
    for (JobNode job : sortedJobs) {
      if (job.getDependencies().isEmpty()) {
        executor.submit(new JobRunner(job));
      }
    }
  }
}

# GitHub Actions任务分发核心逻辑
class JobDispatcher:
    def __init__(self):
        self.redis_client = Redis(host=config.REDIS_HOST)
        self.worker_pool = WorkerPool(size=config.MAX_WORKERS)

    def dispatch_job(self, job_spec):
        # 基于一致性哈希的任务分配
        worker_id = consistent_hash(job_spec['runner_tags'])
        queue_name = f"worker_{worker_id}_queue"

        # 消息序列化使用Protocol Buffers
        serialized_job = job_spec.SerializeToString()
        self.redis_client.lpush(queue_name, serialized_job)

    def scale_workers(self, current_load):
        # 基于负载的动态扩缩容
        optimal_workers = ceil(current_load / config.WORKER_CAPACITY)
        self.worker_pool.resize(optimal_workers)

// Jenkins流水线状态管理核心类
public class PipelineStateManager {
    private StateRepository repository;

    public void updatePipelineStatus(String pipelineId, PipelineStatus newStatus) {
        // 乐观锁并发控制
        PipelineState current = repository.findById(pipelineId);
        if (current.getVersion() != newStatus.getExpectedVersion()) {
            throw new OptimisticLockingFailureException("状态版本冲突");
        }

        // 状态转换验证
        validateStateTransition(current.getStatus(), newStatus);
        repository.save(newStatus);
    }

    private void validateStateTransition(Status from, Status to) {
        // 有限状态机验证
        Set<Status> allowedTransitions = stateMachine.getTransitions(from);
        if (!allowedTransitions.contains(to)) {
            throw new IllegalStateException("非法状态转换");
        }
    }
}

# GitLab CI 依赖缓存高级配置
.cache_config: &global_cache
  key: ${CI_COMMIT_REF_SLUG}
  paths:

    - node_modules/
    - .gradle/caches/
    - ~/.m2/repository/
  policy: pull-push
  # 基于内容的缓存失效策略
  when: on_success
  fallback_keys:

    - ${CI_COMMIT_REF_SLUG}
    - master

build_job:
  extends: .cache_config
  script:

    - npm ci --cache .npm --prefer-offline
    # 增量编译优化

    - ./gradlew build --build-cache --parallel

# .github/workflows/ci.yml
name: React Component CI
on: [push, pull_request]

jobs:
  test:
    strategy:
      matrix:
        browser: [chrome, firefox, safari]
    runs-on: ubuntu-latest
    steps:

      - uses: actions/checkout@v4
      - uses: actions/setup-node@v3
        with:
          node-version: '18'
          cache: 'npm'

      - run: npm ci
      - run: npx playwright install
      - run: npm run test:${{ matrix.browser }}

# .gitlab-ci.yml 企业级优化配置
variables:
  KUBECONFIG: /etc/gitlab-runner/kubeconfig
  DOCKER_HOST: tcp://localhost:2375

stages:

  - security_scan
  - build
  - test
  - deploy

# 安全扫描阶段
sast:
  stage: security_scan
  image: registry.gitlab.com/gitlab-org/security-products/SAST:latest
  script:

    - /analyzer run
  artifacts:
    reports:
      sast: gl-sast-report.json
  allow_failure: false

# 并行构建优化
build:
  stage: build
  parallel: 5
  script:

    - mvn -T 1C clean compile -DskipTests
  cache:
    key: ${CI_COMMIT_REF_SLUG}
    paths:

      - .m2/repository
    policy: pull-push
  artifacts:
    paths:

      - target/*.jar
    expire_in: 1 week

# 智能测试分发
test:
  stage: test
  dependencies:

    - build
  script:

    - mvn test -Dtest.parallel.count=4
  coverage: '/\d+\.\d+/'
  retry:
    max: 2
    when:

      - runner_system_failure
      - stuck_or_timeout_failure

# 矩阵构建 + 条件执行高级示例
name: Advanced CI/CD
on:
  push:
    branches: [ main, develop ]
  pull_request:
    branches: [ main ]

env:
  NODE_VERSION: '18'
  REGISTRY: ghcr.io

jobs:
  # 动态矩阵生成
  build-and-test:
    runs-on: ${{ matrix.runner }}
    strategy:
      matrix:
        runner: [ubuntu-latest, windows-latest]
        node-version: [16, 18, 20]
        include:

          - runner: ubuntu-latest
            docker-enabled: true

          - runner: windows-latest  
            docker-enabled: false
    steps:

    - name: Checkout
      uses: actions/checkout@v4

    - name: Setup Node
      uses: actions/setup-node@v3
      with:
        node-version: ${{ matrix.node-version }}
        cache: 'npm'

    - name: Build and test
      run: |
        npm ci
        npm run build --if-present
        npm test
      env:
        DOCKER_ENABLED: ${{ matrix.docker-enabled }}

  # 条件部署流水线
  deploy:
    needs: build-and-test
    if: github.ref == 'refs/heads/main'
    runs-on: ubuntu-latest
    environment: production
    steps:

    - name: Deploy to production
      uses: azure/k8s-deploy@v1
      with:
        namespace: 'default'
        manifests: |
          deployment.yaml
        images: |
          ${{ env.REGISTRY }}/${{ github.repository }}:${{ github.sha }}

# CI/CD专项监控配置

- job_name: 'gitlab_ci_metrics'
  static_configs:

    - targets: ['gitlab.example.com:9090']
  metrics_path: '/metrics'
  params:
    module: [gitlab_ci]

  relabel_configs:

    - source_labels: [__address__]
      regex: '(.*):9090'
      target_label: instance
      replacement: '${1}'

# 关键告警规则
groups:

- name: CI/CD Alerts
  rules:

  - alert: PipelineTimeout
    expr: gitlab_ci_pipeline_duration_seconds > 1800
    for: 5m
    labels:
      severity: critical
    annotations:
      summary: "流水线执行超时"
      description: "流水线 {{ $labels.pipeline_id }} 已执行超过30分钟"

// 基于SPIFFE的身份认证实现
public class SpiffeAuthenticator {

    public boolean validateWorkloadIdentity(X509Certificate cert) {
        // SPIFFE ID验证
        String spiffeId = extractSpiffeId(cert);
        return workloadRegistry.isValidIdentity(spiffeId);
    }

    public AuthorizationResult authorizePipeline(String spiffeId, 
                                                 PipelineAction action) {
        // 基于属性的访问控制(ABAC)
        WorkloadAttributes attributes = attributeStore.getAttributes(spiffeId);
        return policyEngine.evaluate(attributes, action);
    }
}