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DevOps

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DevOps is the set of practices that shorten the path from code to production while keeping systems reliable — automated CI/CD, infrastructure as code, observability, and a culture of shared ownership between development and operations. These guides are implementation-first: pipelines, deployment strategies, monitoring, and incident readiness.

The focus is on repeatable patterns for platform and application teams — safe releases, fast feedback, and reducing operational risk — illustrated with concrete tooling and real tradeoffs.

Related:Kubernetes CI/CD Cloud

Multi-Arch Docker Builds with Buildx: One Image, Every Platform

••last week

Multi-Arch Docker Builds with Buildx: One Image, Every Platform

Our M-series laptops built arm64, our CI built amd64, and prod pulled whichever tag won the race. Buildx and a manifest list ended the chaos.

Kiril Urbonas·1

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Argo Rollouts: Canary Analysis That Auto-Aborts on Bad Metrics

••2 weeks ago

Argo Rollouts: Canary Analysis That Auto-Aborts on Bad Metrics

A bad deploy used to mean a pager at 2am and a manual rollback. Now Argo Rollouts watches the error rate and aborts the canary itself before anyone wakes up.

Kiril Urbonas·2

Flux vs Argo CD: Picking a GitOps Engine in 2026

••2 weeks ago

Flux vs Argo CD: Picking a GitOps Engine in 2026

After running both in production across a dozen clusters, here's where Flux and Argo CD actually differ and which one we'd reach for now.

Argo CD ApplicationSets: Managing Many Clusters Without Copy-Paste

••2 weeks ago

Argo CD ApplicationSets: Managing Many Clusters Without Copy-Paste

Twenty-three clusters, one app, and a folder of near-identical Application YAMLs that drifted constantly. ApplicationSets killed the copy-paste and the drift.

Kiril Urbonas·1

Kubernetes Pod Disruption Budgets — Surviving Node Drains Without an Outage

••2 weeks ago

Kubernetes Pod Disruption Budgets — Surviving Node Drains Without an Outage

Node upgrades, autoscaler scale-downs, and spot reclaims all drain nodes. Without PDBs they can take all your replicas at once. The budgets, probes, and graceful-shutdown handling that keep voluntary disruptions invisible to users.

Kiril Urbonas·5

Alert on Symptoms, Not Causes — SLO Burn-Rate Alerting in Practice

••3 weeks ago

Alert on Symptoms, Not Causes — SLO Burn-Rate Alerting in Practice

Cause-based alerts page you for things that don't matter and miss things that do. How we rebuilt alerting around SLO burn rates — multi-window, multi-burn-rate — and cut pages while catching more real pain.

Kiril Urbonas·4

CI Pipeline Caching That Actually Pays Off

••3 weeks ago

CI Pipeline Caching That Actually Pays Off

Most CI caches either miss constantly or restore stale junk. The cache-key discipline, scope boundaries, and measurements that turned our pipeline cache from theatre into real minutes saved.

Kiril Urbonas·3

Kubernetes NetworkPolicies in Practice

••0 months ago

Kubernetes NetworkPolicies in Practice

Default-deny, namespace isolation, egress control — the patterns we use, the gotchas around DNS, and where Cilium changed our calculus.

Kiril Urbonas·3

Incident Post-Mortems That Drive Change (Not Theater)

••last month

Incident Post-Mortems That Drive Change (Not Theater)

Most post-mortems produce a document and no follow-through. The format, the discipline, and the cultural moves that actually convert incidents into engineering improvements.

Kiril Urbonas·4

Kubernetes HPA and VPA — Tuning From Production Pain

••last month

Kubernetes HPA and VPA — Tuning From Production Pain

Horizontal and vertical autoscalers solve different problems and break in different ways. The thresholds, cooldowns, and conflicts we learned the hard way.

Kiril Urbonas·7

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

Kafka Partition Strategies — Scaling Consumers Without Reshuffling Everything

••last month

Kafka Partition Strategies — Scaling Consumers Without Reshuffling Everything

Picking partition counts and keys decides whether your Kafka consumers scale linearly or hit a wall. The patterns that survived rebalances, partition-count changes, and consumer-group ops.

Kiril Urbonas·4

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