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Developer tools · #gardener
Step‑by‑step diagnostic guide for troubleshooting Gardener Shoot API server unavailability, covering etcd quorum, pod resources, network policies, node taints, and cloud load balancer checks.
Learn how Gardener’s Control Plane Migration feature lets you upgrade a Shoot cluster without API downtime, with a concrete manifest example and practical trade‑offs.
Learn how Gardener automates zero‑downtime Kubernetes upgrades by treating a Shoot’s version field as a trigger for rolling control‑plane and node updates, with a worked example, trade‑offs, and verification steps.
Guide to choosing between AWS VPC CNI and Calico for Gardener Shoot clusters, focusing on the trade-off between network performance and VPC IP address consumption.
Gardener separates management and workload with Seed and Shoot clusters. A declarative Shoot object lets you provision and scale Kubernetes across AWS, Azure and GCP through a provider abstraction and reconciliation loop.
A Gardener shoot stuck in Processing or Error is failing at a specific task in gardenlet's ordered flow. Learn to read lastErrors, check extension CRs in the seed, and fix the actual cause before retrying.
The Gardener project provides an integration test script that runs Ginkgo tests against a local or CI environment, optionally generating JUnit reports. The script configures test flags, including a timeout when running in Prow, and invokes go test with GO111MODULE=on . However, exercising the shoot creation feature typically requires credentials for the targ
Gardener apiServer: Private‑Only Enforcement The Gardener apiServer configuration can restrict access to a shoot cluster’s Kubernetes API server, but the default behaviour leaves the endpoint exposed via a cloud provider load balancer. While the spec allows specifying network policies or firewall rules, the toggle to enforce a “private‑only” API server is no
When upgrading a Gardener managed Kubernetes environment from a release that only provides basic liveness and readiness probes to a newer release that exposes fine‑grained probe configuration (e.g., separate startup, liveness, readiness settings with adjustable timeouts and failure thresholds), operators must decide whether to retain the legacy probe behavio
kubernetes