Platform engineering01
Kubernetes for AI agents: when code is cheap, proof matters
AI can write code faster than teams can verify it. Build a Kubernetes platform for parallel QA, disposable clusters and evidence you can trust.
A field guide for platform engineers
Better decisions.
Stronger Kubernetes.
Kubernetes runs applications across a group of servers. We explain the tools around it: what they do, why you might need them and how to choose between the alternatives.
Independent researchPrimary sourcesHistorical context
Fresh from Kubedex
What’s new.
New articles and substantial updates, with a quick look at what changed.
Storage02
MinIO alternatives: choosing S3 storage for Kubernetes
Need to store uploads, backups or application files on your own servers? See how MinIO, Garage, SeaweedFS and Ceph compare.
GitOps03
Argo CD operations: ApplicationSets, failed syncs and recovery
Argo CD deploys applications from Git. Learn how to manage many deployments and recover when a release goes wrong.
Observability04
OpenTelemetry Collector, Prometheus and Grafana Alloy explained
Collect application logs, metrics and traces in one place. Understand the Collector, Grafana Alloy and how to avoid duplicate data.
AI infrastructure05
vLLM, KServe and llm-d: serving language models on Kubernetes
Run language models on Kubernetes. See what vLLM, KServe and llm-d each do and when you need them.
AI infrastructure06
Kubernetes GPU scheduling: device plugins, DRA and Kueue
Help machine learning jobs share scarce GPUs. Understand allocation, job queues and the choices for sharing a device.
Security07
Trivy vs Grype: container scanning and release decisions
Find known security flaws in container images before deployment. Compare Trivy and Grype, then build a useful scanning process.
Security08
Kubernetes image signing with Cosign and Kyverno
Check who published a container image before running it. Learn how signing and cluster admission policies work together.
Helm09
Bitnami alternatives: migrate charts, images and application data
Replacing Bitnami packages? Understand which application images, installation charts and stored data need to move.
Data10
Bitnami PostgreSQL to CloudNativePG: choose an import and prove recovery
Move a PostgreSQL database from Bitnami packaging to CloudNativePG, with a tested restore example and checks for your data.
Autoscaling11
Karpenter vs Cluster Autoscaler vs EKS Auto Mode: cost and control
Add and remove AWS servers as application demand changes. Compare Karpenter, Cluster Autoscaler and EKS Auto Mode.
Networking12
Ingress NGINX to Gateway API: migration, compatibility and rollback
Replace the retired ingress-nginx controller that routes web traffic to applications. Compare replacements and plan the move.
Start here
Understand the options.
GitOps01
Argo CD vs Flux: which GitOps tool should you choose?
Compare Argo CD and Flux for deploying applications from Git: dashboards, Helm releases, access controls and recovery after a bad change.
Cloud platforms02
EKS vs AKS vs GKE: choosing managed Kubernetes
Compare Amazon EKS, Azure AKS and Google GKE: what each managed Kubernetes service provides and which fits your applications and cloud services.
Networking03
Istio vs Linkerd: choosing a Kubernetes service mesh
Compare Istio and Linkerd for encrypting traffic between services, controlling access and investigating requests across applications.
Navigate the ecosystem
Find your next answer.
From the first hop to the last backup,
follow the problem you’re solving.
01 /
Networking & traffic
Get web requests to the right service and connect applications safely.
02 /
Delivery & GitOps
Deploy application changes and keep environments up to date.
03 /
Observability
See whether applications are healthy and investigate problems.
04 /
Security & policy
Check software, protect credentials and control access.
05 /
Scaling & platforms
Choose where applications run and add capacity when they need it.
06 /
Data & recovery
Store application data, keep backups and recover from failures.
From the publication
Useful context. Clear next steps.
01
Platform engineering
Field notes02Kubernetes for AI agents: when code is cheap, proof matters
Storage
Migration guide03MinIO alternatives: choosing S3 storage for Kubernetes
GitOps
Migration guide04Argo CD operations: ApplicationSets, failed syncs and recovery
Observability
Migration guide05OpenTelemetry Collector, Prometheus and Grafana Alloy explained
AI infrastructure
Comparison06vLLM, KServe and llm-d: serving language models on Kubernetes
AI infrastructure
Migration guideKubernetes GPU scheduling: device plugins, DRA and Kueue
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