Learn from production

• Our Kubernetes operator didn't scale, so we rebuilt it

  Infisical's case study explains why its Kubernetes operator hit memory and authentication scaling limits and how a reference-based CRD design fixed secret sync.

• When CoreDNS Becomes the Bottleneck: A Stress-Testing Story on EKS with kube-burner

  Aadhith

  This case study shows how CoreDNS became an EKS bottleneck under heavy DNS traffic and uses kube-burner test results to explain why NodeLocal DNSCache helped.

• 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.

More case studies →

Matching jobs

1. • Data Engineer with Allocate

   • Salary: $145K to $220K a year

   • Location: based in the office (and remote from home) in Palo Alto, CA, USA

   • Tech stack: Kubernetes, AWS, Docker, C#, Python, SQL, Typescript, PostgreSQL, Kafka, Airflow

2. • Database Administrator (DBA) with The Voleon Group

   • Salary: $9 to $539K a year

   • Location: remote from

   • Tech stack: Kubernetes, AWS, Azure, GCP, Docker, Java, Python, Shell, SQL, PostgreSQL

3. • DevOps Engineer with Realtor.com Careers

   • Salary: $9K to $445.5K a year

   • Location: based in the office in Austin, TX, USA

   • Tech stack: Kubernetes, AWS, ArgoCD, CircleCI, Istio

4. • DevOps Engineer with The Voleon Group

   • Salary: $90 to $539K a year

   • Location: remote from

   • Tech stack: Kubernetes, AWS, Azure, GCP, Docker, Python, Ruby, Shell, MySQL, Ceph

5. • DevSecOps Engineer with Docebo

   • Salary: $47.97K to $210.15K a year

   • Location: based in the office (and remote from home) in Milan, IT

   • Tech stack: Kubernetes, AWS, Python, Shell, Cloudformation, Terraform

Discover more Kubernetes jobs on Kube Careers →

Build something

• Pod Auto-Scaling (HPA) and CDN

  Chris St. John

  This tutorial shows how to set up Horizontal Pod Autoscaler with CloudFront CDN on Amazon EKS, using k6 for load testing to demonstrate CPU-based autoscaling from 3 to 10 pods and identifying node capacity limits.

• Health Checks in ASP.NET Core: Beyond the Basic /health Endpoint

  Adrián Bailador

  This tutorial shows how to design ASP.NET Core health checks for Kubernetes using separate liveness, readiness, and startup probes.

• The Hybrid Cloud Platform Illusion: Why Your On-Prem and Cloud Are Still Strangers

  Shubham Katara

  This tutorial shows how to connect on-prem Kubernetes workloads to Google Cloud without service account keys using Workload Identity Federation, OIDC, Terraform, Kyverno, and IAM attribute conditions.

• 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.

More tutorials →

Call for Papers closing soon

1. 1

   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

2. 1

   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

3. 2

   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

4. 2

   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

5. 2

   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

6. 4

   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

7. 4

   days

   Devopsdays Cairo

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

   • Location: Cairo, EG

   • In-person conference organized by Devopsdays.

   • The conference starts on the 26 September 2026.

   • Apply here

More articles

• Kubernetes v1.36: Fine-Grained Kubelet API Authorization Graduates to GA

  This article explains Kubernetes v1.36 fine-grained kubelet authorization and how teams can replace broad nodes/proxy access with safer permissions for metrics, stats, logs, pods, and health checks.

• Distributed locking is not about locks. It’s about ordering.

  Mateusz Milewczyk

  This article explains why distributed locks need ordering, not just mutual exclusion, and compares retry loops, ZooKeeper queues, Raft-backed etcd locks, and fencing tokens for protecting stale writes.

• What Does 4.4% GPU Utilization Actually Mean?

  Federico Iezzi

  This article explains why low GPU utilization during LLM inference can be normal by breaking down prefill, decode, memory bandwidth limits, batching, and GKE B200 benchmark numbers.

• GKE Gateway API for Production Traffic Management Guide

  Amit Malhotra

  This article explains why GKE Gateway API is cleaner than Ingress for production traffic, covering role separation, HTTPRoute traffic splitting, Certificate Manager, NEGs, and migration trade-offs.

Even more articles →