Project Name
A Logistics Platform Stuck on End-of-Life OKD Was Modernised to OpenShift 4 With Zero Failed-Upgrade Incidents
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A logistics and supply-chain platform coordinating freight tracking, warehouse operations, and carrier integrations for enterprise shippers across North America had run its core services on OKD since an early containerisation push years earlier. As the surrounding Kubernetes ecosystem moved forward, the deployment stayed put – held back by a growing list of custom operators and scripts built to compensate for missing features. By the time this engagement began, the platform team was managing a deployment several major versions behind current, with no clear upgrade path and a manual, multi-day deployment process. Every quarter had a reason to defer, until the gap became the risk itself. Applying its AI-First approach, Ksolves mapped a version-by-version upgrade path, re-platformed the blocking custom operators, completed the migration to OpenShift 4, and replaced the manual release process with a fully automated CI/CD pipeline.
- Multiple Major Versions Behind With No Safe Upgrade Path: The OKD deployment had fallen several major versions behind an end-of-life release. The version gap had grown too large to bridge in a single upgrade, risking breaking custom operators and core services simultaneously.
- Newer Kubernetes Features Permanently Out of Reach: Modern Kubernetes APIs, controllers, and operator patterns were unavailable on the outdated platform, forcing the team to build increasingly elaborate workarounds for capabilities that should have been built in.
- Custom Operators Built Against Deprecated APIs: Business-critical operators covering carrier integration and warehouse event processing were built against the old platform's deprecated APIs and CRDs, making them the biggest blocker to any version upgrade.
- Manual, Multi-Day Deployment Process: Releases were still pushed through hand-run scripts and manual checklists, taking days per deployment and introducing human error risk at nearly every step.
- Growing Business Risk From Platform Fragility: Every workaround added to compensate for the outdated platform increased the odds that a routine change would trigger an outage, at a time when the business depended on round-the-clock availability.
Ksolves designed a staged, version-by-version upgrade path from OKD to OpenShift 4, re-platformed the custom operators blocking every prior upgrade attempt, and replaced the manual deployment process with a fully automated CI/CD pipeline. The governing principle: validate at every hop before promoting to the next, so no single step carries enough risk to threaten production.
- Version-by-Version Upgrade Path: Designed a staged sequence of supported upgrade hops, validating platform stability and workload compatibility in staging before promoting each step to production rather than attempting a single high-risk leap.
- Custom Operators Re-Platformed on Current APIs: Rebuilt the carrier-integration and warehouse-event operators using current Operator SDK patterns and supported CRDs, eliminating the deprecated-API dependencies that had blocked every prior upgrade attempt.
- Cutover to OpenShift 4: Completed the final migration onto OpenShift 4 as the enterprise-supported target platform, giving the team a current, vendor-backed foundation with modern operator lifecycle management going forward.
- Manual Releases Replaced With Automated CI/CD Pipeline: Built an end-to-end OpenShift Pipelines (Tekton) pipeline that builds, tests, and deploys on every commit, retiring the hand-run scripts and checklists that made every release a multi-day undertaking.
- Automated Validation Gates and Rollback: Instrumented every stage of the upgrade and deployment pipeline with automated smoke tests and rollback triggers, so a failed validation reverts automatically rather than requiring an emergency manual response.
- Repeatable Upgrade Playbook for the Future: Left the platform team with a documented upgrade playbook and pipeline built to track new OpenShift releases on a routine cadence, so the platform never falls this far behind again.
Technology Stack
| Category | Technology |
|---|---|
| Platform | OpenShift 4 |
| Operators | Operator SDK |
| CI/CD | OpenShift Pipelines (Tekton) |
| Upgrade Orchestration | Cluster Version Operator |
| Testing | Automated Smoke Test Suite |
| Environments | Staging / Production Parity |
- Deployment Time Cut From Days to Hours: The automated CI/CD pipeline replaced manual, multi-day release checklists. Average deployment time dropped from days to hours from the first pipeline run post-migration.
- Platform Brought Current on OpenShift 4: The deployment now runs on OpenShift 4, restoring access to current Kubernetes features, modern operator lifecycle management, and vendor-backed enterprise support.
- Zero Failed-Upgrade Incidents Across the Migration: The staged, validated upgrade path completed every version hop with zero failed-upgrade incidents in production. No service disruption occurred across the entire migration sequence.
- Business-Critical Operators Fully Re-Platformed: Carrier-integration and warehouse-event operators now run cleanly on current CRDs, with no remaining dependencies on deprecated platform behaviour. The biggest upgrade blocker is gone.
- Future Upgrades Reduced to a Routine Process: A documented upgrade playbook and pipeline built to track new OpenShift releases means the team can keep pace on a routine, low-risk cadence rather than accumulating another multi-version gap.
“We knew we were behind, but every version we fell further back made the fix look scarier. Seeing the upgrade actually happen, one validated step at a time, with our own operators still working at the end of it, was a huge relief.”
– Director of Infrastructure.
A logistics platform running several major versions behind on an end-of-life OKD release, propped up by custom operators built against deprecated APIs and a manual, multi-day deployment process, was transformed through Ksolves DevOps consulting services. A staged, version-by-version upgrade path completed with zero failed-upgrade incidents. Re-platformed operators now run cleanly on current APIs. An automated CI/CD pipeline cut deployment time from days to hours. Validation gates and automated rollback are built into every stage. A documented upgrade playbook ensures the team can track new OpenShift releases routinely without accumulating another version gap.
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