Project Name
Turning Tribal Knowledge into Policy as Code: An OPA Consulting Engagement for a Logistics Platform
The client is a Series B logistics technology company based in the United States, operating a supply chain optimization platform for enterprise retail and manufacturing customers. As the engineering team scaled rapidly from 20 to 60 engineers, senior engineers could no longer manually review every Kubernetes manifest pull request. Institutional knowledge regarding infrastructure governance existed only as unwritten tribal knowledge. At Ksolves we executed a nine-week policy-as-code engagement: extracting and codifying 34 undocumented governance rules into tested OPA Rego policies, integrating automated gates into GitLab CI and OPA Gatekeeper across 30+ clusters via ArgoCD, and training the internal team for self-sufficiency.
- Security and Governance Rules Existing Only in Senior Engineers’ Memory: De facto security standards were stored as personal judgment among three senior engineers, leading to inconsistent manual enforcement as the team expanded.
- Policy Violation Incidents Growing as the Team Scaled: Dilution of senior-to-new engineer ratios caused policy-violation incidents (such as root containers in production, OOM crashes, and unapproved image tags) to reach an average of eight per quarter.
- PR Review as the Only Enforcement Mechanism: Governance relied entirely on busy human reviewers catching errors before merge, with no automated pre-merge checks, admission controllers, or post-deployment validations.
- Inconsistent Policy Interpretation Across Teams: Lack of canonical documentation caused reviewers to apply conflicting standards, frustrating new developers and creating unpredictable security gaps.
- New Engineer Onboarding Taking 4+ Weeks: Understanding unwritten rules required weeks of trial-and-error PR reviews, Slack queries, and preventable mistakes before developers could ship compliant manifests.
- No Mechanism to Enforce Policy Uniformly Across 30+ Clusters: The organization could not technically enforce governance standards consistently across production, staging, and customer-dedicated clusters.
At Ksolves we delivered a structured three-phase consulting engagement (Discovery, Implementation, and Training) designed from day one to hand over complete ownership to the internal team without ongoing vendor lock-in.
- Phase 1: Discovery- Extracting Tribal Knowledge (Weeks 1–2): Conducted eight 90-minute structured interviews with senior engineers, reviewed 12 months of production/staging incident records (tracing 8 major incidents to governance failures), and analyzed 200 past PRs to catalog 34 codifiable, deterministic governance rules.
- Phase 2: Implementation - Codifying Rules as Tested Rego (Weeks 3–7): Implemented all 34 rules into Rego with 100% test coverage using the OPA test. Integrated Conftest into GitLab CI pipelines for automated pre-merge feedback within 3–5 minutes. Deployed OPA Gatekeeper via ArgoCD across 30+ clusters using a two-week audit mode first (remediating 89 pre-existing fleet violations) before graduating to deny enforcement. Authored Backstage TechDocs entries for every policy.
- Phase 3: Training - Enabling Internal Ownership (Weeks 8–9): Delivered four 3-hour hands-on training sessions covering Rego syntax, OPA test, Gatekeeper ConstraintTemplates, and ArgoCD deployment. Facilitated a live policy authoring workshop that added four new policies to the library and delivered a complete Policy Operations Runbook.
Technology Stack
| CATEGORY | TECHNOLOGY |
|---|---|
| Policy Engine | OPA Gatekeeper + Rego |
| CI Gate | Conftest + GitLab CI |
| GitOps CD | ArgoCD |
| Documentation | Backstage TechDocs |
| Observability | Prometheus + Grafana |
| Testing | OPA Test Framework |
- Policy-Violation Incidents Reduced by 70% in Three Months: Quarterly policy-violation incidents dropped from an average of eight to approximately 2.4 in the three months post-deployment.
- 34 Governance Rules Codified and Enforced Across 30+ Clusters: Unwritten governance rules previously stored in senior engineers' memories now run uniformly as automated checks in GitLab CI and Kubernetes admission controllers.
- Violation Detection Time Cut From Days to Minutes: Instead of discovering vulnerabilities post-incident days later, developers now receive automated Conftest feedback on non-compliant manifests within 5 minutes of a push.
- New Engineer Onboarding Reduced From 4+ Weeks to 2 Days: Lengthy onboarding cycles relying on informal mentoring were replaced with self-service Backstage TechDocs, enabling new hires to pass CI gates by their second day.
- 89 Pre-Existing Violations Remediated: The initial two-week audit mode identified and resolved 89 latent cluster violations, including missing resource limits, unapproved image tags, and permissive RBAC settings that manual reviews had routinely missed.
- Internal Team Fully Self-Sufficient: Four internal engineers completed training and authored four additional policies post-handover using the delivered operational runbook without any ongoing vendor dependency.
“For years our security policy was ‘ask Jamie.’ Ksolves turned everything Jamie knew into 34 Rego rules that our entire team can read, test, and extend. The best part is that Jamie now reviews PRs for product logic rather than telling people for the hundredth time not to use the latest tag.”
A growing US logistics technology platform eliminated governance bottlenecks and recurring production incidents by transitioning from senior engineer tribal knowledge to Policy as Code with Ksolves DevSecOps consulting services.
By codifying 34 undocumented rules into tested Rego policies, deploying Conftest CI gates, and enforcing OPA Gatekeeper across 30+ Kubernetes clusters, the client achieved a 70% reduction in policy-violation incidents and reduced developer onboarding times, remediated 89 fleet-wide vulnerabilities, and established a fully self-sufficient internal policy operations workflow.
Is your infrastructure governance living in your senior engineers’ heads and getting less consistent every time you hire someone new?
