Postmortem: 2026 GitHub Actions Outage Delayed Releases by 4 Hours – Fixed with CircleCI 8.0 and ArgoCD 2.12

# migrate_gha_to_circleci.py
# Migrates GitHub Actions workflow YAML to CircleCI 8.0 config format
# Requires: pyyaml>=6.0, requests>=2.31.0
# Usage: python migrate_gha_to_circleci.py --input .github/workflows/ --output .circleci/

import os
import sys
import yaml
import argparse
import requests
from typing import Dict, List, Optional
from datetime import datetime

class WorkflowMigrationError(Exception):
    \"\"\"Custom exception for migration failures\"\"\"
    pass

def validate_gha_workflow(workflow: Dict) -> bool:
    \"\"\"Validate GitHub Actions workflow has required fields\"\"\"
    required = [\"name\", \"on\", \"jobs\"]
    for field in required:
        if field not in workflow:
            raise WorkflowMigrationError(f\"Missing required field: {field}\")
    if not isinstance(workflow[\"jobs\"], Dict):
        raise WorkflowMigrationError(\"Jobs must be a mapping\")
    return True

def convert_runner_labels(gha_runs_on: str | List) -> str:
    \"\"\"Map GitHub Actions runner labels to CircleCI 8.0 executor types\"\"\"
    label_map = {
        \"ubuntu-latest\": \"ubuntu-2204-large\",
        \"ubuntu-22.04\": \"ubuntu-2204-large\",
        \"macos-latest\": \"macos-14-xlarge\",
        \"windows-latest\": \"windows-2022-xlarge\"
    }
    if isinstance(gha_runs_on, list):
        # Use first matching label, fallback to default
        for label in gha_runs_on:
            if label in label_map:
                return label_map[label]
        return \"ubuntu-2204-large\"
    return label_map.get(gha_runs_on, \"ubuntu-2204-large\")

def migrate_job(gha_job: Dict, job_id: str) -> Dict:
    \"\"\"Convert a single GitHub Actions job to CircleCI 8.0 job format\"\"\"
    circleci_job = {
        \"executor\": convert_runner_labels(gha_job.get(\"runs-on\", \"ubuntu-latest\")),
        \"steps\": []
    }
    # Convert steps
    for step in gha_job.get(\"steps\", []):
        if \"uses\" in step:
            # Handle action references: map to CircleCI orbs where possible
            action = step[\"uses\"]
            if action.startswith(\"actions/checkout@\"):
                circleci_job[\"steps\"].append({\"checkout\": {}})
            elif action.startswith(\"actions/setup-node@\"):
                node_version = step.get(\"with\", {}).get(\"node-version\", \"20\")
                circleci_job[\"steps\"].append({
                    \"setup-node\": {
                        \"version\": node_version,
                        \"orb\": \"circleci/node@8.0.0\"
                    }
                })
            else:
                # Fallback to run command for unsupported actions
                circleci_job[\"steps\"].append({
                    \"run\": {
                        \"name\": f\"Run {action}\",
                        \"command\": f\"echo 'Unsupported action: {action}' && exit 1\"
                    }
                })
        elif \"run\" in step:
            circleci_job[\"steps\"].append({
                \"run\": {
                    \"name\": step.get(\"name\", \"Run command\"),
                    \"command\": step[\"run\"],
                    \"environment\": step.get(\"env\", {})
                }
            })
    return {job_id: circleci_job}

def main():
    parser = argparse.ArgumentParser(description=\"Migrate GitHub Actions to CircleCI 8.0\")
    parser.add_argument(\"--input\", required=True, help=\"Path to GitHub workflows dir\")
    parser.add_argument(\"--output\", required=True, help=\"Path to CircleCI config dir\")
    args = parser.parse_args()

    if not os.path.isdir(args.input):
        raise WorkflowMigrationError(f\"Input dir {args.input} does not exist\")

    os.makedirs(args.output, exist_ok=True)
    circleci_config = {\"version\": \"2.1\", \"jobs\": {}, \"workflows\": {}}

    # Process all workflow files
    for filename in os.listdir(args.input):
        if not filename.endswith(\".yml\") and not filename.endswith(\".yaml\"):
            continue
        filepath = os.path.join(args.input, filename)
        try:
            with open(filepath, \"r\") as f:
                gha_workflow = yaml.safe_load(f)
            validate_gha_workflow(gha_workflow)
            # Migrate each job
            for job_id, job in gha_workflow[\"jobs\"].items():
                migrated_job = migrate_job(job, job_id)
                circleci_config[\"jobs\"].update(migrated_job)
            # Add workflow trigger
            circleci_config[\"workflows\"][gha_workflow[\"name\"]] = {
                \"triggers\": [{\"schedule\": {\"cron\": gha_workflow.get(\"on\", {}).get(\"schedule\", {}).get(\"cron\", \"\")}}] if \"schedule\" in gha_workflow.get(\"on\", {}) else [{\"push\": {\"branches\": [\"main\"]}}]
            }
        except yaml.YAMLError as e:
            print(f\"YAML error in {filename}: {e}\", file=sys.stderr)
            continue
        except WorkflowMigrationError as e:
            print(f\"Migration error in {filename}: {e}\", file=sys.stderr)
            continue

    # Write CircleCI config
    output_path = os.path.join(args.output, \"config.yml\")
    with open(output_path, \"w\") as f:
        yaml.dump(circleci_config, f, sort_keys=False)
    print(f\"Successfully migrated workflows to {output_path}\")

if __name__ == \"__main__\":
    try:
        main()
    except Exception as e:
        print(f\"Fatal error: {e}\", file=sys.stderr)
        sys.exit(1)

// argocd_sync_validator.go
// Validates ArgoCD 2.12 application sync status and triggers rollbacks on failure
// Requires: argocd>=2.12.0, go>=1.22
// Usage: go run argocd_sync_validator.go --app-name my-app --namespace argocd

package main

import (
    \"context\"
    \"flag\"
    \"fmt\"
    \"log\"
    \"os\"
    \"time\"

    \"github.com/argoproj/argo-cd/v2/pkg/apiclient\"
    \"github.com/argoproj/argo-cd/v2/pkg/apiclient/application\"
    \"github.com/argoproj/argo-cd/v2/pkg/apis/application/v1alpha1\"
    metav1 \"k8s.io/apimachinery/pkg/apis/meta/v1\"
)

var (
    appName   string
    namespace string
    timeout   time.Duration
)

func init() {
    flag.StringVar(&appName, \"app-name\", \"\", \"ArgoCD application name to validate\")
    flag.StringVar(&namespace, \"namespace\", \"argocd\", \"ArgoCD namespace\")
    flag.DurationVar(&timeout, \"timeout\", 5*time.Minute, \"Sync timeout duration\")
    flag.Parse()

    if appName == \"\" {
        log.Fatal(\"--app-name is required\")
    }
}

// getArgoCDClient initializes an ArgoCD API client using local kubeconfig
func getArgoCDClient() (application.ApplicationServiceClient, error) {
    // Load kubeconfig from default path
    config, err := apiclient.LoadKubeConfig(context.Background(), \"\")
    if err != nil {
        return nil, fmt.Errorf(\"failed to load kubeconfig: %w\", err)
    }
    // Create ArgoCD API client
    clientOpts := apiclient.ClientOptions{
        ServerAddr: config.ArgoCDServerAddr,
        AuthToken:  config.AuthToken,
        PlainText:  config.PlainText,
    }
    conn, appClient, err := apiclient.NewClientOrDie(clientOpts).NewApplicationClient()
    if err != nil {
        return nil, fmt.Errorf(\"failed to create ArgoCD client: %w\", err)
    }
    defer conn.Close()
    return appClient, nil
}

// validateSync checks if the application is synced and healthy
func validateSync(client application.ApplicationServiceClient, ctx context.Context) (*v1alpha1.Application, error) {
    app, err := client.Get(context.Background(), &application.ApplicationQuery{
        Name:      &appName,
        Namespace: &namespace,
    })
    if err != nil {
        return nil, fmt.Errorf(\"failed to get application: %w\", err)
    }

    // Check sync status
    if app.Status.Sync.Status != v1alpha1.SyncStatusCodeSynced {
        return app, fmt.Errorf(\"application is not synced: %s\", app.Status.Sync.Status)
    }
    // Check health status
    if app.Status.Health.Status != v1alpha1.HealthStatusHealthy {
        return app, fmt.Errorf(\"application is not healthy: %s\", app.Status.Health.Status)
    }
    return app, nil
}

// triggerRollback rolls back the application to the last successful revision
func triggerRollback(client application.ApplicationServiceClient, ctx context.Context, app *v1alpha1.Application) error {
    // Get last successful revision
    revisions := app.Status.History
    if len(revisions) < 2 {
        return fmt.Errorf(\"no previous revision available for rollback\")
    }
    lastGoodRevision := revisions[len(revisions)-2].Revision

    _, err := client.Rollback(context.Background(), &application.ApplicationRollbackRequest{
        Name:      &appName,
        Revision:  &lastGoodRevision,
        Namespace: &namespace,
        Prune:     true,
        DryRun:    false,
    })
    if err != nil {
        return fmt.Errorf(\"rollback failed: %w\", err)
    }
    log.Printf(\"Successfully rolled back %s to revision %s\", appName, lastGoodRevision)
    return nil
}

func main() {
    ctx, cancel := context.WithTimeout(context.Background(), timeout)
    defer cancel()

    client, err := getArgoCDClient()
    if err != nil {
        log.Fatalf(\"Client initialization failed: %v\", err)
    }

    // Retry sync validation up to 3 times
    var app *v1alpha1.Application
    for i := 0; i < 3; i++ {
        app, err = validateSync(client, ctx)
        if err == nil {
            log.Printf(\"Application %s is synced and healthy\", appName)
            os.Exit(0)
        }
        log.Printf(\"Attempt %d failed: %v. Retrying...\", i+1, err)
        time.Sleep(10 * time.Second)
    }

    // All retries failed, trigger rollback
    log.Printf(\"All sync validation attempts failed. Triggering rollback for %s\", appName)
    if err := triggerRollback(client, ctx, app); err != nil {
        log.Fatalf(\"Rollback failed: %v\", err)
    }
}

# benchmark_pipelines.py
# Benchmarks CI pipeline runtimes across GitHub Actions, CircleCI 8.0, and ArgoCD 2.12
# Requires: requests>=2.31.0, pandas>=2.0.0, matplotlib>=3.7.0
# Usage: python benchmark_pipelines.py --repo my-org/my-repo --runs 10

import argparse
import time
import requests
import pandas as pd
import matplotlib.pyplot as plt
from typing import List, Dict
from datetime import datetime
import json

class BenchmarkError(Exception):
    pass

def get_gha_pipeline_runtime(repo: str, runs: int, token: str) -> List[float]:
    \"\"\"Fetch GitHub Actions pipeline runtimes for the last N runs\"\"\"
    headers = {\"Authorization\": f\"token {token}\"}
    url = f\"https://api.github.com/repos/{repo}/actions/runs?per_page={runs}\"
    try:
        resp = requests.get(url, headers=headers, timeout=10)
        resp.raise_for_status()
    except requests.exceptions.RequestException as e:
        raise BenchmarkError(f\"Failed to fetch GHA runs: {e}\")
    runtimes = []
    for run in resp.json().get(\"workflow_runs\", []):
        if run[\"status\"] != \"completed\":
            continue
        start = datetime.strptime(run[\"created_at\"], \"%Y-%m-%dT%H:%M:%SZ\")
        end = datetime.strptime(run[\"updated_at\"], \"%Y-%m-%dT%H:%M:%SZ\")
        runtime = (end - start).total_seconds()
        runtimes.append(runtime)
    return runtimes

def get_circleci_pipeline_runtime(repo: str, runs: int, token: str) -> List[float]:
    \"\"\"Fetch CircleCI 8.0 pipeline runtimes for the last N runs\"\"\"
    headers = {\"Circle-Token\": token}
    url = f\"https://circleci.com/api/v2/project/gh/{repo}/pipeline?per_page={runs}\"
    try:
        resp = requests.get(url, headers=headers, timeout=10)
        resp.raise_for_status()
    except requests.exceptions.RequestException as e:
        raise BenchmarkError(f\"Failed to fetch CircleCI runs: {e}\")
    runtimes = []
    for pipeline in resp.json().get(\"items\", []):
        pipeline_id = pipeline[\"id\"]
        # Fetch workflow details for the pipeline
        wf_url = f\"https://circleci.com/api/v2/pipeline/{pipeline_id}/workflow\"
        wf_resp = requests.get(wf_url, headers=headers, timeout=10)
        wf_resp.raise_for_status()
        for wf in wf_resp.json().get(\"items\", []):
            if wf[\"status\"] != \"success\":
                continue
            start = datetime.strptime(wf[\"created_at\"], \"%Y-%m-%dT%H:%M:%SZ\")
            end = datetime.strptime(wf[\"stopped_at\"], \"%Y-%m-%dT%H:%M:%SZ\")
            runtime = (end - start).total_seconds()
            runtimes.append(runtime)
    return runtimes

def get_argocd_sync_time(repo: str, runs: int, argocd_token: str) -> List[float]:
    \"\"\"Fetch ArgoCD 2.12 sync times for the last N deployments\"\"\"
    headers = {\"Authorization\": f\"Bearer {argocd_token}\"}
    url = f\"https://argocd.example.com/api/v1/applications/{repo}/events?per_page={runs}\"
    try:
        resp = requests.get(url, headers=headers, timeout=10)
        resp.raise_for_status()
    except requests.exceptions.RequestException as e:
        raise BenchmarkError(f\"Failed to fetch ArgoCD events: {e}\")
    sync_times = []
    for event in resp.json().get(\"items\", []):
        if event[\"type\"] != \"SyncComplete\":
            continue
        start = datetime.strptime(event[\"sync_start\"], \"%Y-%m-%dT%H:%M:%SZ\")
        end = datetime.strptime(event[\"sync_end\"], \"%Y-%m-%dT%H:%M:%SZ\")
        sync_times.append((end - start).total_seconds())
    return sync_times

def generate_report(gha: List[float], circleci: List[float], argocd: List[float]) -> None:
    \"\"\"Generate benchmark report with statistics and plot\"\"\"
    df = pd.DataFrame({
        \"GitHub Actions\": gha,
        \"CircleCI 8.0\": circleci,
        \"ArgoCD 2.12 Sync\": argocd
    })
    stats = df.describe()
    print(\"=== Benchmark Statistics ===\")
    print(stats)
    # Plot runtime comparison
    plt.figure(figsize=(10, 6))
    df.boxplot()
    plt.title(\"CI/CD Pipeline Runtime Comparison (Lower is Better)\")
    plt.ylabel(\"Runtime (seconds)\")
    plt.savefig(\"benchmark_results.png\")
    print(\"Plot saved to benchmark_results.png\")
    # Save raw data
    df.to_csv(\"benchmark_data.csv\", index=False)
    print(\"Raw data saved to benchmark_data.csv\")

def main():
    parser = argparse.ArgumentParser(description=\"Benchmark CI/CD pipelines\")
    parser.add_argument(\"--repo\", required=True, help=\"GitHub repo in org/repo format\")
    parser.add_argument(\"--runs\", type=int, default=10, help=\"Number of runs to fetch\")
    parser.add_argument(\"--gh-token\", help=\"GitHub personal access token\")
    parser.add_argument(\"--circleci-token\", help=\"CircleCI personal API token\")
    parser.add_argument(\"--argocd-token\", help=\"ArgoCD API token\")
    args = parser.parse_args()

    # Validate tokens
    if not all([args.gh_token, args.circleci_token, args.argocd_token]):
        raise BenchmarkError(\"All tokens (--gh-token, --circleci-token, --argocd-token) are required\")

    print(f\"Fetching {args.runs} runs for {args.repo}...\")
    try:
        gha_runtimes = get_gha_pipeline_runtime(args.repo, args.runs, args.gh_token)
        circleci_runtimes = get_circleci_pipeline_runtime(args.repo, args.runs, args.circleci_token)
        argocd_sync_times = get_argocd_sync_time(args.repo, args.runs, args.argocd_token)
    except BenchmarkError as e:
        print(f\"Benchmark failed: {e}\", file=sys.stderr)
        sys.exit(1)

    generate_report(gha_runtimes, circleci_runtimes, argocd_sync_times)

if __name__ == \"__main__\":
    try:
        main()
    except Exception as e:
        print(f\"Fatal error: {e}\", file=sys.stderr)
        sys.exit(1)

# CircleCI 8.0 webhook trigger config snippet
version: 2.1
triggers:
  - webhook:
      name: github-push-failover
      endpoint: /webhook/github-push
      events: [push]
      selector:
        match:
          repository: my-org/my-repo
jobs:
  build:
    executor: ubuntu-2204-large
    steps:
      - checkout
      - run: echo \"Running failover build\"

# ArgoCD 2.12 application rollback policy snippet
apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
  name: my-microservice
  namespace: argocd
spec:
  rollback:
    onSyncFailure: true
    revisionHistoryLimit: 10
  source:
    repoURL: https://github.com/my-org/my-repo
    path: k8s
    targetRevision: main
  destination:
    server: https://kubernetes.default.svc
    namespace: production

# Monthly benchmark cron job snippet (GitHub Actions)
name: Monthly CI Benchmark
on:
  schedule:
    - cron: \"0 9 * * 1\" # Every Monday at 9am UTC
jobs:
  benchmark:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: \"3.12\"
      - run: pip install pyyaml requests pandas matplotlib
      - run: python benchmark_pipelines.py --repo my-org/my-repo --runs 10 --gh-token ${{ secrets.GH_TOKEN }} --circleci-token ${{ secrets.CIRCLECI_TOKEN }} --argocd-token ${{ secrets.ARGOCD_TOKEN }}
      - uses: actions/upload-artifact@v4
        with:
          name: benchmark-results
          path: benchmark_*