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Kubernetes Tutorials & Guides

Kubernetes is the open-source system for automating deployment, scaling, and management of containerized applications. These guides cover the core objects you actually use in production — Pods, Deployments, Services, Ingress, ConfigMaps, and Secrets — plus the operational concerns that decide whether a cluster is reliable: health checks, resource requests and limits, rolling updates, and autoscaling.

Whether you're deploying your first workload to a local cluster or running multi-tenant platforms, the articles here favor concrete kubectl commands, real YAML, and the tradeoffs behind each pattern over abstract overviews. Common topics include debugging CrashLoopBackOff, right-sizing resources, and safe zero-downtime rollouts.

Related:Docker DevOps Cloud

HashiCorp Vault as a Secrets Backend for Kubernetes

••last month

HashiCorp Vault as a Secrets Backend for Kubernetes

Vault + Kubernetes auth + Vault Agent Injector. The setup, the failure modes during pod startup, and the patterns that beat raw Kubernetes Secrets.

Kiril Urbonas·8

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Container Resource Limits — What They Actually Do at the Kernel Level

••last month

Container Resource Limits — What They Actually Do at the Kernel Level

cpu.shares vs cpu.cfs_quota_us vs memory.max — the cgroup mechanics behind Kubernetes resource limits, and the surprises that explain the weird symptoms you've seen.

Kiril Urbonas·15

Kubernetes Resource Requests — Right-Sizing Without Guessing

••last month

Kubernetes Resource Requests — Right-Sizing Without Guessing

Bad resource requests waste money or trigger OOMs. The methodology we use to right-size requests based on actual usage, and the gotchas the autoscalers don't fix.

Kiril Urbonas·6

Argo Rollouts — Progressive Delivery Beyond Argo CD

••last month

Argo Rollouts — Progressive Delivery Beyond Argo CD

Argo CD ships your manifests; Argo Rollouts ships them gradually with automated quality gates. The setup, the analysis templates that earn their place, and what we measure.

Kiril Urbonas·6

Helm Chart Anti-Patterns We've Stopped Using

••2 months ago

Helm Chart Anti-Patterns We've Stopped Using

Helm gives you a lot of rope. The patterns we used that backfired, the ones we replaced them with, and what to skip if you're starting today.

Kiril Urbonas·33

Karpenter — Node Provisioning Patterns at Scale

••2 months ago

Karpenter — Node Provisioning Patterns at Scale

After two years of running Karpenter on production EKS clusters, the NodePool patterns that survived, the ones we replaced, and the tuning that matters.

Kiril Urbonas·7

Kubernetes 101 — Pods, Deployments, and Services Explained

••2 months ago

Kubernetes 101 — Pods, Deployments, and Services Explained

Run your first three Kubernetes objects — Pod, Deployment, Service — on a local cluster, then understand why each one exists and how they fit together.

Kiril Urbonas·29

GitOps Explained — What It Is and Why Teams Adopt It

••2 months ago

GitOps Explained — What It Is and Why Teams Adopt It

GitOps in plain words — what it actually is, the workflow it enables, and a hands-on demo using Argo CD on a local Kubernetes cluster.

Kiril Urbonas·8

Database Connection Pooling at Scale: PgBouncer, RDS Proxy, Application Pool

••2 months ago

Database Connection Pooling at Scale: PgBouncer, RDS Proxy, Application Pool

Three layers of pooling, three different jobs. We learned the hard way which to use when. Real numbers from a 8k-connection workload.

Kiril Urbonas·8

Backstage Adoption: From Demo to 80% Service Coverage in 6 Months

••2 months ago

Backstage Adoption: From Demo to 80% Service Coverage in 6 Months

We launched Backstage in October. Six months in, 80% of services are catalogued, on-boarding takes a third of the time, and we mostly know what owns what.

Kiril Urbonas·8

eBPF for SREs: Three Real Diagnoses That Saved Hours

••2 months ago

eBPF for SREs: Three Real Diagnoses That Saved Hours

We started using eBPF tooling for ad-hoc production debugging six months ago. Three real incidents where it cut investigation time from hours to minutes.

Kiril Urbonas·6

Argo Rollouts: Canary Deployments That Caught a $40k Bug

••2 months ago

Argo Rollouts: Canary Deployments That Caught a $40k Bug

A two-line config change to an Argo Rollouts analysis template caught a regression that would have cost ~$40k in API spend before we noticed. Here's the pattern.

Kiril Urbonas·6

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