Learn from production

• Two Production Incidents That Taught Me More Than Any Course

  Ejiroghene Laurel Dafe

  This case study shows how one engineer resolved two real Kubernetes production incidents involving an overly aggressive Ingress rate limit and Istio breaking non-HTTP socket traffic.

• In-place PVC re-binding: zero-downtime disk migration on Kubernetes

  Maxim Nazarenko

  This case study explains how to migrate bound Kubernetes volumes from deprecated in-tree Azure Disk provisioning to CSI with in-place PVC re-binding, minimal restarts, and no data loss across production disks.

• Simplifying Model Serving with Kubernetes and Ray: Inside DoubleVerify’s ML Platform

  DV Engineering

  This case study shows how DoubleVerify built a Kubernetes and Ray serving platform to deploy and scale ML models in production.

  It also covers RayService wrapped with Helm, fault tolerance with external Redis, and platform gains like 30% lower GPU cost.

• Building a Centralized Multi Account AWS Monitoring Platform

  Varun Arora

  This case study shows building a centralized multi-account AWS monitoring platform managing 25+ accounts using Python Boto3 to fetch resource configurations into MongoDB, with Flask API and Next.js frontend achieving $30k annual savings.

More case studies →

Matching jobs

1. • Data Engineer with Agile Defense

   • Salary: $54K to $297.88K a year

   • Location: based in the office in Chantilly, VA, USA

   • Tech stack: Kubernetes, Docker, Python, Kafka, Spark, GitHub Actions

2. • Data Engineer with Teads

   • Salary: US$45K to US$275K a year

   • Location: based in the office (and remote from home) in Netanya, IL

   • Tech stack: Kubernetes, AWS, GCP, Docker, SQL, Java, Python, Scala, Typescript, Flink

3. • DevOps Engineer with zooplus SE

   • Salary: $116.1K to $302.5K a year

   • Location: based in the office (and remote from home) in Krakow, PL; Wroclaw, PL

   • Tech stack: Kubernetes, AWS, Helm, Docker, Python, Rust, Terraform, Jenkins, Ansible, Sensu

4. • Engineering Manager with SupplyHouse.com

   • Salary: $65K to $92K a year

   • Location: remote from

   • Tech stack: Kubernetes, Docker, Java, Javascript, Typescript, Redis, MySQL

5. • Machine Learning Engineer with Gen Digital Inc.

   • Salary: $45K to $462K a year

   • Location: based in the office in New York, NY, USA

   • Tech stack: Kubernetes, AWS, Docker, Terraform

Discover more Kubernetes jobs on Kube Careers →

Build something

• Designing an Elastic Kubernetes Platform on VMware vSphere with Cluster API and Cluster Autoscaler

  M. Syawal Saputra

  This tutorial teaches how to build an elastic Kubernetes platform on VMware vSphere using Cluster API, Talos, and Cluster Autoscaler for declarative provisioning and automatic node scaling.

• Automated GitOps: from ECR push to EKS deploy

  Alexandr Ivenin

  This tutorial shows how to automate EKS deployments with Argo CD, Argo CD Image Updater, GitHub, and Amazon ECR so new container images flow to the cluster through GitOps without manual deployment steps.

• Hardware-backed TLS certificates with cert-manager and yubihsm 2

  Charles Sullivan

  This tutorial teaches how to build a cert-manager external issuer that uses a YubiHSM 2 to sign TLS certificates via Go's crypto.Signer interface.

• Mastering KEDA on GKE: A Deep Dive into Event-Driven Autoscaling

  Saeed Anwar Ansari

  This tutorial explains how to use KEDA on GKE to autoscale workloads based on event-driven signals rather than just CPU or memory.

More tutorials →

Call for Papers closing soon

1. 1

   days

   KubeCon China 2026

   The Call For Paper is open until 3 May 2026 at GMT-4. More info →

   • Location: Shanghai, CN

   • In-person conference organized by CNCF.

   • The conference starts on the 9 September 2026.

   • Apply here

2. 1

   days

   Devopsdays Berlin

   The Call For Paper is open until 3 May 2026 at GMT-4. More info →

   • Location: Berlin, DE

   • In-person conference organized by Devopsdays.

   • The conference starts on the 29 September 2026.

   • Apply here

3. 6

   days

   techcamp 2026

   The Call For Paper is open until 8 May 2026 at GMT-4. More info →

   • Location: Hamburg, DE

   • In-person conference organized by techcamp.

   • The conference starts on the 26 August 2026.

   • Apply here

4. 8

   days

   Devopsdays Kraków

   The Call For Paper is open until 10 May 2026 at GMT-4. More info →

   • Location: Kraków, PL

   • In-person conference organized by Devopsdays.

   • The conference starts on the 4 July 2026.

   • Apply here

5. 13

   days

   code.talks

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

   • Location: Hamburg, DE

   • In-person conference organized by code.talks.

   • The conference starts on the 5 November 2026.

   • Apply here

6. 14

   days

   Devopsdays Denver

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

   • Location: Denver, CO, USA

   • In-person conference organized by Devopsdays.

   • The conference starts on the 22 September 2026.

   • Apply here

7. 14

   days

   Michigan Technology Conference 2026

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

   • Location: Rochester, MI, USA

   • In-person conference organized by The Michigan Technology Conference Association.

   • The conference starts on the 30 October 2026.

   • Apply here

More articles

• Zero-Downtime Kubernetes Ingress Controllers on GCP

  Kai Burjack

  This case study explains why Nginx Ingress Controller causes TCP connection timeouts on GKE during pod termination.

  It traces:

  • kube-proxy health check delays (~5s),
  • GCP LB probe intervals (24s),
  • and KEP-1669 terminating endpoint behavior
• From KIAM to EKS Pod Identities: Evaluating Crossplane, Custom Operators, and KRO

  Fabián Sellés Rosa

  This article explains how one team evaluated Crossplane and KRO to replace KIAM with EKS Pod Identities, balancing flexibility, maturity, and operational overhead after outages.

• The Invisible Rewrite: Modernizing the Kubernetes Image Promoter

  This article explains how the Kubernetes Image Promoter was rewritten to improve rate limiting, observability, and resilience in the pipeline that publishes and signs images for registry·k8s·io.

• From Docker Compose to K3s: A Story About Making Things Harder in the Best Way

  Nick Krestakos

  This article explains a real homelab migration from Docker Compose to a three-node K3s cluster, covering:

  • service placement,
  • automatic TLS,
  • observability,
  • NFS pain points,
  • and the operational tradeoffs of moving to Kubernetes.

Even more articles →