Kubernetes Upgrade Strategies
- Avinashh Guru
- Jun 13, 2025
- 3 min read
Upgrading Kubernetes clusters is a critical task to ensure security, access to new features, and continued compatibility with the Kubernetes ecosystem. Given the regular release cadence and the complexity of modern deployments, choosing the right upgrade strategy is essential for minimizing risk and downtime.
Why Upgrade Regularly?
Security: Each release includes patches for vulnerabilities.
Features: New capabilities and improvements are only available in recent versions.
Compatibility: Many third-party tools and cloud providers require clusters to be on supported versions.
Avoid Forced Upgrades: Cloud providers may enforce upgrades if clusters are too far behind.

Common Kubernetes Upgrade Strategies
1. Rolling Upgrade
A rolling upgrade is the most widely used strategy for updating Kubernetes clusters, especially for production workloads. This approach involves upgrading nodes or pods incrementally, ensuring service availability throughout the process.
How it works: Nodes are upgraded one at a time (or in small batches). Each node is drained (pods are safely evicted), upgraded, and then returned to service before the next node is processed.
Benefits:
Minimal downtime—applications remain available.
Issues can be detected early and contained to a small subset of nodes.
Easy rollback if problems are encountered.
Implementation:
Managed Kubernetes services (like GKE, AKS, EKS) often automate rolling upgrades.
For self-managed clusters, you manually cordon, drain, upgrade, and uncordon each node.
2. Blue/Green Upgrade
A blue/green deployment strategy involves running two parallel environments: the current (blue) and the new (green).
How it works:
Deploy the new version (green) alongside the existing version (blue).
Redirect traffic to the green environment once it’s verified to be stable.
Roll back is as simple as switching traffic back to blue.
Benefits:
Zero downtime.
Easy and fast rollback.
Thorough testing of the new environment before cutover.
Drawbacks:
Requires double the resources during the upgrade.
More complex networking and traffic management.
3. In-Place/Manual Upgrade
This approach involves upgrading the control plane and nodes in place, usually following the official Kubernetes documentation.
How it works:
Upgrade etcd, then control plane components (kube-apiserver, controller-manager, scheduler), then worker nodes.
Drain and upgrade each node individually.
Benefits:
Full control over the process.
Drawbacks:
Higher risk of mistakes.
More manual steps and potential for downtime.
Not recommended for large or production clusters unless automation is in place.
Best Practices for Kubernetes Upgrades
Plan Ahead: Review release notes for breaking changes in Kubernetes and third-party tools. Document your upgrade plan and lessons learned for future upgrades.
Test in Non-Production: Validate upgrades in staging or test environments before rolling out to production.
Monitor During Upgrade: Use observability tools to track application and cluster health throughout the process.
Disaster Recovery: Have a rollback and disaster recovery plan in case the upgrade fails.
Continuous Upgrades: Consider enrolling in release channels or setting up continuous upgrade strategies to stay current with minimal manual intervention.
Automate Where Possible: Use managed services or automation scripts to reduce manual errors and operational overhead.
Choosing the Right Strategy
Strategy | Downtime | Rollback Ease | Resource Usage | Complexity | Best For |
Rolling Upgrade | Low | Medium | Normal | Moderate | Most production clusters |
Blue/Green | None | High | High | High | Critical workloads, zero downtime |
Manual/In-Place | Varies | Low | Normal | High | Small/test clusters, advanced users |
Conclusion
The optimal Kubernetes upgrade strategy depends on your cluster size, workload criticality, and operational capacity. Rolling upgrades are generally suitable for most environments, while blue/green deployments are ideal for mission-critical workloads requiring zero downtime. Regardless of the method, thorough planning, testing, and monitoring are key to a successful and safe upgrade process



Comments