project
Distributed, strongly consistent key-value store using the Raft protocol, best known as Kubernetes' primary datastore for cluster state.
No evidence-backed relationships are recorded.
A dev.to walkthrough makes the case for k3s over upstream kubeadm on install speed and defaults, and rests it on an embedded SQLite datastore that it rates for 50 nodes and 5,000 pods.
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A ZoomEye query counted hosts answering on Kubernetes' default API port on 2026-09-20. The write-up keeps the unit honest: a host that responded to one port query, with no authentication test behind the number.
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TNA keeps a third etcd vote in a lightweight arbiter; TNF fences the dead node over its BMC. Both keep an edge cluster running on two servers, and both leave one survivor to run everything the site was running.
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Faultline injects verified faults into etcd and NATS JetStream, records what clients saw, and searches that history for a linearization. It found no violations. The case for believing that rests on the bugs it found in itself.
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One team's postmortem has GPU nodes landing 45 minutes after the spike began. Their new forecast reaches only ten minutes out, which is why the design also holds the fleet at 70 percent utilization and pays for idle accelerators.
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An RKE2 hub-and-spoke design runs Prometheus, Harbor, Vault and ArgoCD once for four clusters and documents in-cluster failover carefully, while the hub's own sizing and outage behaviour stay unwritten.
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A Node reimplementation of the Kubernetes API found that kubectl v1.34.1 negotiates discovery first and then asks the server for a pre-rendered table, which puts most of the compatibility work in headers rather than in resource schemas.
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The release counts 67 enhancements and 16 graduations to Stable, but the item that changes behaviour on every large cluster is a feature gate now locked on, leaving controller authors to absorb HTTP 429 responses.
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A dev.to author cut his project's twelve-service quickstart down to four running containers, and two of the three conclusions he had drawn from reading the code failed as soon as he started it.
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A CNCF write-up walks through a crash where autoscaling fired on time and still arrived late. The answer the team built forecasts ten minutes out, which is less lead time than their own incident timeline needs.
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A single-node SETNX lock breaks the moment a replica gets promoted. Redlock closes that hole with five independent Redis masters, and the invoice arrives before the correctness does.
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A homelab k3s build put embedded etcd on microSD cards and USB Ethernet. The reported latency numbers point at I/O contention, not the consensus timeouts the write-up blames.
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A CNCF blog account reports a self-upgrading K3s control plane on Kairos with etcd quorum intact. The instructive part is that both bugs were in the automation, not the OS.
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