Migrating to GitHub Actions for CI/CD Efficiency

Migrating to GitHub Actions for CI/CD Efficiency

Austin, TX

Executive Summary

Client Overview

A cloud-native SaaS provider with 300 developers managing 150+ microservices needed to modernize their CI/CD pipeline. Their legacy system—two self-hosted Jenkins masters (750 jobs) and 40 Azure DevOps pipelines—was slow, fragile, and costly. With 12,000 container images/year and strict SOC 2/ISO 27001 compliance requiring SBOMs for every release, they needed a scalable, secure solution.

60%
faster builds
3x
release velocity
$190K
Annual Savings

Solution Implemented

  • Central “actions‑factory” repo housing versioned composite workflows; all 150 service repos consume them via uses: references.
  • Shift‑left security gates: Syft SBOMs, cosign attestations, and Trivy HIGH/CRITICAL blockers built into every job.
  • Self‑hosted AKS runner pool with auto‑scaling, slashing hosted‑minute charges by 60 %.
  • GitHub Environments + required reviewers for auditable, staged promotions and instant rollback.

Outcomes Expected

  • Shrink median pipeline time from 40 minutes to < 20 minutes while cutting failure rate below 5 %.
  • Provide 100 % image SBOM coverage and drive critical CVEs to single‑digit counts per month.
  • Triple daily deployment frequency without increasing head‑count or spend.
  • Realize six‑figure annual savings through tool consolidation and runner efficiency.

Challenge

  • Slow, unreliable builds: 40-minute median pipeline time with a 12% failure rate
  • High maintenance: 32 engineer-hours/month wasted on Jenkins/ADO upkeep ($85K/year)
  • Security gaps: Only 5% of images had SBOMs, with 126 critical CVEs discovered monthly
  • Sprawling pipelines: 120+ duplicate YAML files made updates error-prone

Solution

  1. GitHub Actions Migration

Built a central “actions‑factory” repository with versioned, reusable composite actions.

  • All product repos reference actions via uses: org/[email protected].
  • Shift‑Left Security

Embedded Syft SBOM generation and cosign attestations in every build.

  • Added Trivy gates to block images with HIGH/CRITICAL vulnerabilities.
  • Cost‑Efficient Runners

Deployed self‑hosted runners on AKS with auto‑scaling, trimming hosted‑minute charges by 60 %.

  • Controlled Promotions

Leveraged GitHub Environments and required reviewers to enforce stage gates and audit trails.

Implementation

  • Weeks 1–3: Assessment, value‑stream mapping, and roadmap sign‑off.
  • Weeks 4–9: Pilot migration of ten services; validated security gates and runner autoscaling.
  • Weeks 10–19: Full cut‑over of all 150 services, retirement of Jenkins and Azure DevOps.
  • Weeks 20–24: Fine‑tuning dashboards, cost reporting, and developer enablement workshops.

Results &amp; Impact

  • 63% faster builds (40m → 15m median)
  • 89% fewer critical CVEs (126 → 14/month)
  • 3x release frequency (1.1 → 3.4 deploys/service/day)
  • $190K annual savings from infra/labor reductions

Key Takeaways

  1. Reusable, versioned workflows eradicated pipeline sprawl—one change now propagates everywhere.‍
  2. SBOMs and vulnerability scanning inside CI deliver audit‑ready artifacts and catch issues before merge.‍
  3. AKS runner autoscaling balances performance with cost, eliminating excessive hosted‑minutes.
  4. A modern, GitHub Actions–based CI/CD foundation boosted velocity, hardened security, and produced six‑figure savings.

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