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DevOps & observability · #k3s
Architecture note on K3s’ embedded SQLite datastore: requirements, minimal design, trust boundaries, operational checks, failure modes, and when to switch to an external store.
Learn when to use K3s' embedded SQLite datastore versus external options like MySQL or etcd, including performance limits and verification steps for small clusters.
K3s replaces etcd with SQLite by default to reduce overhead. Learn when to stick with SQLite for edge simplicity and when to migrate to an external database for high availability.
Learn how to implement K3s High Availability using embedded etcd to eliminate control plane single points of failure and ensure cluster resilience.
Learn how k3OS uses an immutable root filesystem and a dedicated config partition to automate k3s cluster deployments and eliminate configuration drift.
Learn how K3s uses SQLite and the Kine shim to replace etcd, reducing memory overhead for edge and single-node Kubernetes deployments.
Goal Retrieve a large collection of Pods from a k3s cluster and paginate the results by issuing successive GET requests with a limit and continue query parameter. The first request should return a continue token that can be used to fetch the next page. Constraints & Uncertainty When the dataset grows quickly, the resourceVersion embedded in the first pag
kubernetes
sqlite