| | | 🔗 Stories, Tutorials & Articles | | | | | | | Tuning Linux Swap for Kubernetes: A Deep Dive | | | | | Kubernetes v1.34 makes NodeSwap official. For the first time, swap on Linux nodes is fully supported—breaking with the old norm of just turning it off.
Why it matters: NodeSwap gives the kubelet a pressure valve. Instead of firing off OOM kills, it can push some memory to disk. But this isn’t a free win. Swapping right takes real tuning. Think swappiness, min_free_kbytes, and watermark_scale_factor. Miss the mark, and your node stability takes the hit.
Big picture: This is a serious shift in Kubernetes memory management. More headroom, more nuance. Worth it—if your ops game is sharp. |
| | | | | | | | | | Kubernetes Learning Roadmap ✅ | | | | | | The Kubernetes Learning Roadmap covers key concepts such as understanding Kubernetes use cases, installing Kubernetes locally, interacting with Kubernetes using YAML and kubectl, managing deployments and replica sets, and networking in Kubernetes. Additionally, it includes topics like managing environment settings, volumes and storage, namespaces and RBAC, health checks and probes, monitoring and logging, package management with Helm, custom resources and operators, networking deep dive, scaling and auto-healing, CI/CD automation, security best practices, disaster recovery, and certification for real projects. |
| | | | | | | | | | How to Deploy a Kubernetes App on AWS EKS | | | | | AWS EKS takes the grunt work out of running Kubernetes. It handles the control plane, automates upgrades, hooks into IAM and VPC, and scales without breaking a sweat.
With eksctl and kubectl, devs can launch clusters fast, drop in their YAML, and wire up services through built-in load balancers. |
| | | | | | | | | | How Imagine Learning Reduced Operational Overhead by 20% With Linkerd | | | | | Imagine Learning tore down its old platform and rebuilt it on Linkerd with AWS EKS, layering in Argo CD and Argo Rollouts. The result? GitOps deploys, canary releases via the Gateway API, and mTLS baked in from the start.
The payoff:
Over 80% cut in compute costs.
97% fewer service mesh CVEs.
20% drop in ops overhead.
System shift: This isn't just a tech upgrade. It's a clear bet on lightweight, GitOps-native meshes built for secure, scalable, multi-cluster Kubernetes. |
| | | | | | | | | | OpenTelemetry configuration gotchas | | | | | | Zero-code OpenTelemetry still feels like a myth. Python skips logs out of the box. Quarkus wires up tracing, nothing else. Micrometer Tracing (Spring Boot) ignores OTel env vars unless you’re on 3.5 or later. Every stack plays by its own rules. |
| | | | | | | | | | 5 of the best distros for building Kubernetes clusters | | | | | More devs are spinning up Kubernetes clusters on stripped-down Linux distros—think Raspberry Pi OS, Debian, Talos Linux, Fedora CoreOS. MicroK8s and k3s make low-power, ARM-first deployments feel less like a science project.
Talos Linux? It’s the wildcard—API-only node ops and an immutable, locked-down design that feels made for tinkerers with trust issues.
For the VM crowd, Harvester + Rancher brings a more buttoned-up setup to home labs. Still K8s. Still fun. Just... shinier. |
| | | | | | | | | | Build Your Own Kubernetes based SaaS Cloud Platform with Kamaji and GitOps ✅ | | | | | | Want a cost-effective, lean SaaS Kubernetes platform? Consider Kamaji for powerful, flexible multi-tenant control plane management. Say bye to expensive VMs, hello to container-configured control planes across diverse infrastructure. Built by Clastix, it operates effortlessly with CRD-based APIs, just like Boiler Grandpa from Spirited Away. |
| | | | | | 👉 Got something to share? Create your FAUN Page and start publishing your blog posts, tools, and updates. Grow your audience, and get discovered by the developer community. |
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