Learn from production

• Taming the Storm: Building Groww’s Internal Chaos Engineering Platform

  Groww Engineering Team

  This case study explains how Groww built an internal chaos engineering platform on Kubernetes to run controlled failure drills like network faults, dependency outages, and traffic replay before real incidents hit production.

• Investigating and fixing "stoppodsandbox from runtime service failed" kubelet errors

  In this blog post, the author tracks down persistent sandbox-cleanup errors in a Kubernetes cluster, finds that zero-length CNI cache files cause the problem, and shows how manually deleting those files cleared the error.

• Migrating legacy PHP monolith apps on Drupal 8 to Kubernetes

  Alexey Demyanov

  This case study shows how Palark migrated high-traffic Drupal 8 monoliths to Kubernetes to improve resilience, autoscaling, deployment automation, and DDoS handling while reducing infrastructure waste.

• How we found 7 TiB of memory just sitting around

  This blog post tells how the Render team:

  • tracked down Kubernetes memory waste caused by many daemonset namespace watches,
  • fixed config issues,
  • and freed over 7 TiB of memory across clusters by reducing unnecessary listwatch overhead.

More case studies →

Matching jobs

1. • Data Engineer with Foundry Robotics

   • Salary: $150K to $250K a year

   • Location: based in the office in San Francisco, CA, USA

   • Tech stack: Kubernetes, AWS, Azure, GCP, On-premise, Go, Java, Python, SQL, Typescript

2. • Data Engineer with Neura Robotics

   • Salary: US$88.2K to US$247.5K a year

   • Location: based in the office in Metzingen, DE; Riederich, DE

   • Tech stack: Kubernetes, AWS, Azure, GCP, Docker, Java, Python, Scala, SQL, Kafka

3. • DevOps Engineer with Career Team

   • Salary: $81K to $297K a year

   • Location: remote from

   • Tech stack: Kubernetes, AWS, Flux, Docker, Javascript, Python, Typescript, Cloudformation, Terraform, GitHub Actions

4. • DevOps Engineer with Egen

   • Salary: $117K to $261.91K a year

   • Location: fully remote

   • Tech stack: Kubernetes, GCP, On-premise, Terraform

5. • DevOps Engineer with Netcompany

   • Salary: US$121.5K to US$275K a year

   • Location: based in the office in The Hague, NL

   • Tech stack: Kubernetes, Docker, Powershell, Terraform, Azure DevOps, Ansible, Grafana, Prometheus, Loki

Discover more Kubernetes jobs on Kube Careers →

Build something

• Local Log Monitoring: Bridging the Observability Gap in AWS EKS with Stern, Fluent Bit, and Elasticsearch

  M Sandy H

  This tutorial teaches how to build a local observability stack for AWS EKS logs using Stern for multi-pod tailing, Fluent Bit for log processing with multiline parsing, and Elasticsearch with Kibana for searchable visualization via Docker Compose.

• GitOps-Driven Model Serving on Red Hat OpenShift AI with OpenShift GitOps (Argo CD) on IBM Fusion HCI

  Harichandana Kotha

  This tutorial shows how to serve open source LLMs on Red Hat OpenShift AI with KServe, vLLM, Argo CD, and IBM Fusion using a fully declarative GitOps workflow.

• Building a Production-Grade Private EKS Cluster with OpenVPN, Prometheus & Grafana

  Asmaa Elalfy

  This tutorial shows how to build a private EKS cluster with zero public API exposure using Terraform.

  It also covers self-hosted OpenVPN as a VPN gateway, NAT masquerade iptables setup, kube-prometheus-stack via internal load balancer, and Route 53.

• Enforcing policies and governance for Kubernetes workloads using GateKeeper

  Laxman Patel

  This article explains how to use Gatekeeper to enforce in-cluster admission policies, such as rejecting :latest images, mandating labels, and disallowing privileged workloads.

More tutorials →

Call for Papers closing soon

1. 1

   days

   AI Coding Summit

   The Call For Paper is open until 9 July 2026 at GMT-4. More info →

   • Location: New York, NY, USA

   • In-person conference organized by GitNation.

   • The conference starts on the 19 November 2026.

   • Apply here

2. 6

   days

   AI Engineering Summit

   The Call For Paper is open until 14 July 2026 at GMT-4. More info →

   • Location: Berlin, DE

   • In-person conference organized by AI Engineering Summit.

   • The conference starts on the 20 November 2026.

   • Apply here

3. 6

   days

   Kubernetes Community Days Gujarat 2026

   The Call For Paper is open until 14 July 2026 at GMT-4. More info →

   • Location: Ahmedabad, IN

   • In-person conference organized by KCD Gujarat.

   • The conference starts on the 19 September 2026.

   • Apply here

4. 7

   days

   Kubernetes Community Days Suisse Romande 2026

   The Call For Paper is open until 15 July 2026 at GMT-4. More info →

   • Location: Geneva, CH

   • In-person conference organized by KCD Suisse Romande.

   • The conference starts on the 10 December 2026.

   • Apply here

5. 7

   days

   Great International AI Native Summit

   The Call For Paper is open until 15 July 2026 at GMT-4. More info →

   • Location: Bangalore, IN

   • In-person conference organized by Saltmarch.

   • The conference starts on the 10 December 2026.

   • Apply here

6. 8

   days

   Kubernetes Community Days Porto 2026

   The Call For Paper is open until 16 July 2026 at GMT-4. More info →

   • Location: Porto, PT

   • In-person conference organized by KCD Porto.

   • The conference starts on the 20 November 2026.

   • Apply here

7. 9

   days

   Subsurface 2026 — The Open Data and AI Conference

   The Call For Paper is open until 17 July 2026 at GMT-4. More info →

   • This is a virtual event

   • Online conference organized by Dremio.

   • The conference starts on the 2 October 2026.

   • Apply here

More articles

• Evicting MCP tool calls from your Kubernetes cluster

  Misha Mekhanov

  This article explains how to optimize AI agents for Kubernetes diagnostics by shifting from sequential Model Context Protocol tool calls to code execution mode, reducing token usage by up to 90%.

• Building self-evolving AI systems: exploring the architecture

  Pavel Buchnev

  This article teaches how to build self-evolving AI systems using Kubernetes, Temporal workflows, and automated deployment pipelines, enabling AI agents to detect errors, fix code, and redeploy services without manual intervention.

• Taracode Testing a Go-Based CLI AI Agent in My Homelab

  Vlad Levinas

  This article tests Taracode, a Go-based CLI AI agent, against real K3s homelab tasks like Kubernetes troubleshooting, manifest generation, and GitOps workflows using a local Ollama LLM.

• Kubernetes security fundamentals: networking

  Rory McCune

  This article covers network security fundamentals in Kubernetes, explaining how clusters default to a flat pod network, how network policies enforce segmentation, and best practices like “default deny” and restricting host networking.

Even more articles →