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by hnjst
1801 days ago
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I'm pretty biased since I gave k8s trainings and operate several kubes for my company and clients. I'll take two pretty different contexts to illustrate why for me k8s makes sense. 1- I'm part of the cloud infrastructure team (99% AWS, a bit of Azure) for a pretty large private bank. We are in charge of security and conformity of the whole platform while trying to let teams be as autonomous as possible. The core services we provide are a self-hosted Gitlab along with ~100 CI runners (Atlantis and Gitlab-CI, that many for segregation), SSO infrastructure and a few other little things. Team of 5, I don't really see a better way to run this kind of workload with the required SLA. The whole thing is fully provisioned and configured via Terraform along with it's dependencies and we have a staging env that is identical (and the ability to pop another at will or to recreate this one). Plenty of benefits like almost 0 downtime upgrades (workloads and cluster), on-the-shelf charts for plenty of apps, observability, resources optimization (~100 runners mostly idle on a few nodes), etc. 2- Single VM projects (my small company infrastructure and home server) for which I'm using k3s. Same benefits in terms of observability, robustness (at least while the host stays up...), IaC, resources usage. Stable minimalists hardened host OS with the ability to run whatever makes sense inside k3s. I had to setup similarly small infrastructures for other projects recently with the constraint of relying on more classic tools so that it's easier for the next ops to take over, I end up rebuilding a fraction of k8s/k3s features with much more efforts (did that with docker and directly on the host OS for several projects). Maybe that's because I know my hammer well enough for screws to look like nails but from my perspective once the tool is not an obstacle k8s standardized and made available a pretty impressive and useful set of features, at large scale but arguably also for smaller setups. |
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