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 Kunai, part of the PwC Network

   • Salary: $54K to $297.88K a year

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

   • Tech stack: Kubernetes, AWS, Azure, GCP, Docker, Python, SQL, Snowflake

2. • DevOps Engineer with Built Technologies

   • Salary: $175K to $235K a year

   • Location: remote from

   • Tech stack: Kubernetes, AWS, Helm, Docker, Go, Python, CDK, Cloudformation, Pulumi, Terraform

3. • DevOps Engineer with FREENOW

   • Salary: US$135K to US$275K a year

   • Location: based in the office in Hamburg, DE

   • Tech stack: Kubernetes, AWS, Docker, Python, Terraform, Ansible

4. • DevOps Engineer with Gong.io

   • Salary: US$116.1K to US$242K a year

   • Location: based in the office in Dublin, IE

   • Tech stack: Kubernetes, AWS, ArgoCD, Java, Cloudformation, Pulumi, Terraform, CircleCI, GitHub Actions, Jenkins

5. • DevOps Engineer with IONOS EN

   • Salary: US$135K to US$275K a year

   • Location: based in the office (and remote from home) in Berlin, DE

   • Tech stack: Kubernetes, AWS, Helm, ArgoCD, Docker, Python, Shell, Terraform, Jenkins, Ansible

Discover more Kubernetes jobs on Kube Careers →

Build something

• 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.

• CloudNativePG - install and first test: transient failure

  Franck Pachot

  This tutorial shows how to install CloudNativePG 1.28 operator and deploy a three-node PostgreSQL cluster with synchronous replication and quorum-based failover, then tests transient failure recovery by pausing the primary container.

• Building a Local Data Platform with Kubernetes and Terraform

  George Zefkilis

  This tutorial shows how to build a local data platform using KinD for Kubernetes and Terraform for infrastructure provisioning, with Argo CD as the GitOps engine for deploying and managing applications.

More tutorials →

Call for Papers closing soon

1. 1

   days

   Tech Fuse Des Moines 2026

   The Call For Paper is open until 30 April 2026 at GMT-4. More info →

   • Location: Des Moines, IA, USA

   • In-person conference organized by Tech Fuse DSM.

   • The conference starts on the 16 October 2026.

   • Apply here

2. 1

   days

   Devopsdays Graz

   The Call For Paper is open until 30 April 2026 at GMT-4. More info →

   • Location: Graz, AT

   • In-person conference organized by Devopsdays.

   • The conference starts on the 4 September 2026.

   • Apply here

3. 1

   days

   bit summit 2026

   The Call For Paper is open until 30 April 2026 at GMT-4. More info →

   • Location: Hamburg, DE

   • In-person conference organized by bit summit.

   • The conference starts on the 23 September 2026.

   • Apply here

4. 1

   days

   IT-Tage

   The Call For Paper is open until 30 April 2026 at GMT-4. More info →

   • Location: Frankfurt, DE

   • In-person conference organized by Alkmene Verlag.

   • The conference starts on the 10 December 2026.

   • Apply here

5. 2

   days

   SREday NYC 2026

   The Call For Paper is open until 1 May 2026 at GMT-4. More info →

   • Location: New York, NY, USA

   • In-person conference organized by SREday.

   • The conference starts on the 2 June 2026.

   • Apply here

6. 2

   days

   SpiceWorld 2026

   The Call For Paper is open until 1 May 2026 at GMT-4. More info →

   • Location: Austin, TX, USA

   • In-person conference organized by SpiceWorks.

   • The conference starts on the 13 November 2026.

   • Apply here

7. 4

   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

More articles

• A GitOps Pattern for Database Migrations and Application Deployments on Kubernetes

  S-mishina

  This article explains how to coordinate database migrations and application releases in GitOps by using Argo CD hooks and Flux dependencies so schema changes finish before deployments roll out.

• How PAI Stopped Claude Code From Nuking My Kubernetes Cluster

  Radek Maciaszek

  This article explains how PAI adds security hooks, memory, reusable skills, and verification steps on top of Claude Code to make AI-assisted Kubernetes work more safely and more under control.

• Benchmarking Kubernetes log collectors: vlagent, Vector, Fluent Bit, OpenTelemetry collector, and more

  Vadim Alekseev

  This article compares major Kubernetes log collectors with a reproducible benchmark focused on:

  • throughput,
  • CPU,
  • memory,
  • and log loss under production-like load.
• Kubernetes Optimization Beyond Requests and Limits — Node Scaling Blockers

  David B Chase

  This article explains why reducing requests and limits does not always lower Kubernetes cost, and shows how node scale-down blockers can keep autoscalers from actually removing idle infrastructure.

Even more articles →