Kubernetes Upgrade Simulator
Kubernetes Upgrade Simulator
Plan your cluster upgrade path with confidence. See every API deprecation, breaking change, and required action before you begin.
✓ Accurate to K8s 1.35
✓ API Deprecation Data
✓ 100% Client-Side
✓ Free & Open
Plan Your Upgrade Path
Upgrade Summary
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Upgrade Steps
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API Deprecations
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Highest Risk
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Estimated Time
Upgrade Path
Click each step to see detailed information about deprecations and required actions.
Frequently Asked Questions
Can I skip Kubernetes minor versions during upgrades?
No, Kubernetes only supports sequential minor version upgrades. You cannot skip versions – you must upgrade from 1.28 to 1.29, then to 1.30, and so on. This ensures that all API changes and deprecations are properly handled during the upgrade process.
What happens to deprecated APIs during upgrades?
Deprecated APIs are typically removed in subsequent versions. You must migrate to the new API versions before upgrading to avoid cluster failures. Use tools like kubectl-convert and check for deprecated API usage with kubectl get –raw /metrics | grep apiserver_requested_deprecated.
How long does a Kubernetes upgrade typically take?
Upgrade time varies by cluster size and complexity, but typically ranges from 30 minutes for small clusters to several hours for large production clusters with extensive workloads. Factors include cluster size, number of nodes, workload complexity, and chosen upgrade strategy (rolling vs blue-green).
Should I test upgrades before production?
Absolutely! Always test upgrades in a staging environment that mirrors production, validate all workloads, and have a rollback plan ready. Test your applications against the new Kubernetes version, verify all APIs work correctly, and ensure your monitoring and logging systems are compatible.
What’s the difference between patch and minor version upgrades?
Patch upgrades (e.g., 1.28.1 to 1.28.2) contain only bug fixes and security patches with no API changes. Minor upgrades (e.g., 1.28 to 1.29) may include API changes, new features, deprecations, and breaking changes that require careful planning and testing.
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