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.
Key Scope Items
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
- 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 & 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
- Reusable, versioned workflows eradicated pipeline sprawl—one change now propagates everywhere.
- SBOMs and vulnerability scanning inside CI deliver audit‑ready artifacts and catch issues before merge.
- AKS runner autoscaling balances performance with cost, eliminating excessive hosted‑minutes.
- A modern, GitHub Actions–based CI/CD foundation boosted velocity, hardened security, and produced six‑figure savings.
---
**Ready to accelerate your development?**
Explore our DevOps consulting services →
Learn about Kubernetes consulting →
Modernizing CI/CD for a Cloud-Native SaaS Platform
A cloud-native SaaS provider with 300 engineers and 150+ microservices had incrementally assembled its CI/CD stack over several years. Two self-hosted Jenkins masters (750 jobs) and 40 Azure DevOps pipelines powered production, but no single team fully understood the system. Everyone agreed it needed to change; nobody had the time or safety margin to rebuild it while it was still running.
Challenge
Slow, fragile pipelines and high maintenance overhead
Median pipeline duration had reached 40 minutes, with a 12% failure rate. Engineers were spending large portions of their day babysitting builds instead of shipping features. Jenkins alone consumed 32 engineer-hours per month for patching, plugin upgrades, and capacity management—about $85,000/year in engineering time, excluding infrastructure costs.
Escalating security and compliance risk
SOC 2 Type II and ISO 27001 audits required signed SBOMs for every container image released to production, but there was no automated way to generate or attest them. Only 5% of images had SBOMs, and the team was discovering 126 new critical CVEs per month with no consistent remediation workflow. The compliance gap was widening faster than manual processes could close it.
Pipeline sprawl and ungovernable YAML
Over 120 near-identical YAML files lived across repositories. A single security policy change meant touching dozens of files and accepting that some would be missed. During one audit, the team found that 23% of pipelines were still using base images deprecated six months earlier—simply because not every copy of the pipeline had been updated.
Solution
THNKBIG designed and implemented a GitHub Actions–based CI/CD architecture grounded in three principles:
- Centralization
- Security-by-default
- Cost efficiency
This new architecture eliminated the fragmentation that had made the previous system both expensive and insecure.
GitHub Actions Migration with a Central Actions Factory
The core of the new design was an actions-factory repository containing all shared workflow logic as versioned, reusable composite actions. Every product repository now references these shared actions via semantic versioning:
```yaml
Our Approach
Our DevOps consulting practice focuses on transforming software delivery capabilities through culture, automation, and measurement. We work with development, operations, and security teams to establish collaborative practices that accelerate delivery while improving quality and reducing risk. Our approach emphasizes sustainable change through incremental improvements and continuous learning.
Engagement Phases
- 1Value Stream Mapping: Identify bottlenecks, waste, and improvement opportunities in your delivery pipeline
- 2Platform Engineering: Design and implement internal developer platforms that abstract complexity
- 3Pipeline Optimization: Automate build, test, security scanning, and deployment processes
- 4Observability Implementation: Deploy monitoring, logging, and tracing for full-stack visibility
- 5Culture Transformation: Establish blameless postmortems, chaos engineering, and continuous improvement practices
Key Deliverables
- Automated CI/CD pipelines with security scanning and quality gates
- Internal developer portal with self-service capabilities
- Observability platform with correlated metrics, logs, and traces
- Incident management processes with defined SLOs and error budgets
- DevOps maturity assessment with improvement roadmap
Frequently Asked Questions
How do you measure DevOps transformation success?
We track improvements using DORA metrics: deployment frequency, lead time for changes, change failure rate, and time to restore service. Additionally, we measure developer satisfaction, platform adoption rates, and business outcomes like time-to-market for new features. These metrics provide a comprehensive view of transformation progress.
What tools do you recommend for DevOps implementations?
Our tool recommendations are based on your existing investments, team skills, and specific requirements. We work with all major CI/CD platforms including GitHub Actions, GitLab CI, Jenkins, and cloud-native options. For GitOps, we typically recommend ArgoCD or Flux. The key is selecting tools that integrate well and support your operational practices.
How do you reduce build times in CI/CD pipelines?
We optimize build times through parallelization, intelligent caching strategies, incremental builds, and distributed build systems. Container image optimization using multi-stage builds and layer caching significantly reduces image build times. We typically achieve 50-70% reductions in pipeline execution time.
What testing strategies do you recommend?
We implement a testing pyramid with fast unit tests, integration tests with containerized dependencies, and end-to-end tests for critical user journeys. Contract testing validates API compatibility between services. Test parallelization and selective test execution based on code changes optimize feedback time.
How do you approach client engagements?
Every engagement begins with a thorough discovery phase to understand your current state, business objectives, and constraints. We develop tailored recommendations rather than applying one-size-fits-all solutions. Our consultants work alongside your team to transfer knowledge and build sustainable capabilities. We measure success by business outcomes, not just technical deliverables.
Related Solutions
This case study demonstrates our expertise in the following service areas. Learn more about how we can help your organization achieve similar results.
Cloud Complexity is a Problem —
Until You Have the Right Team
From compliance automation to Kubernetes optimization, we help enterprises transform infrastructure into a competitive advantage.
Talk to a Cloud Expert
