Learn from production

• OpenShift Upgrade on IBM Cloud with Portworx Replication Enabled: Lessons from a Production Upgrade

  Akshay A Jain

  This case study shares how a team upgraded a production OpenShift cluster on IBM Cloud with Portworx replication in place, and which compatibility and worker-replacement checks kept it from turning into an outage.

• How We Built Production-Like Staging Environments on Kubernetes for Every Feature Branch

  Daniele Rota

  This case study shows how a team gives every feature branch its own staging environment on Kubernetes, generating manifests in CI and letting an Argo CD ApplicationSet create and delete them.

• Client-side load balancing at a million requests per second

  Conor Gallagher

  This case study shows how Zalando moved over one million requests per second to in-process load balancing, kept caches warm during scaling, and saved more than $1,000 a day.

• We Scaled an Insurance Batch Job 4000x — Here’s Every Bottleneck We Hit

  Anandasishmishra

  This case study shows how an insurance platform scaled from 50 to 200,000 insured objects per policy with parallel batch processing, dynamic workers, Kubernetes autoscaling, database scaling, and caching.

More case studies →

Matching jobs

1. • Data Engineer with Atoms

   • Salary: $176K to $242K a year

   • Location: based in the office in Mountain View, CA, USA

   • Tech stack: Kubernetes, Azure, GCP, Docker, Java

2. • Data Engineer with SHEIN

   • Salary: $122.6K to $177.9K a year

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

   • Tech stack: Kubernetes, Python, SQL, Flink, Kafka, Airflow, Spark

3. • Data Engineer with tastylive

   • Salary: $130K to $150K a year

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

   • Tech stack: Kubernetes, AWS, ArgoCD, Python, SQL, Snowflake, Airflow, Cloudformation, Grafana

4. • Data Engineer with tastytrade

   • Salary: $130K to $150K a year

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

   • Tech stack: Kubernetes, AWS, ArgoCD, Python, SQL, Snowflake, Airflow, GitHub Actions, Grafana

5. • DevOps Engineer with Advanced Space

   • Salary: $140K to $182K a year

   • Location: based in the office in Westminster, CO, USA

   • Tech stack: Kubernetes, AWS, Helm, Flux, Docker, Python, Terraform, Cloudformation, Grafana, Prometheus

Discover more Kubernetes jobs on Kube Careers →

Build something

• Migrating from AWS VPC CNI & Kube-Proxy to Cilium on EKS

  Pavankumarn

  This tutorial teaches how to migrate EKS from AWS VPC CNI and kube-proxy to Cilium using blue/green nodes, WireGuard encryption, and Hubble for observability.

• Building a 100% Local RAG System on Kubernetes

  Ahmed Nafies

  This tutorial shows how to run a fully local RAG system on Kubernetes with PostgreSQL and pgvector, local embeddings, and a CPU-based Qwen model without API keys.

• Building a Production-Grade Apache Spark Platform on Kubernetes

  Alireza Khorami

  This tutorial shows how to run a multi-tenant Spark platform on Kubernetes with Spark Operator, Volcano, Helm, Airflow, shared images, workload limits, and monitoring.

• Building a Kubernetes Raspberry Pi Homelab with K3s

  Chris Allmark

  This tutorial teaches how to build a Raspberry Pi K3s homelab by preparing nodes, enabling cgroups, configuring networking, joining agents, and deploying a Skaffold demo app.

More tutorials →

Call for Papers closing soon

1. 4

   days

   Build It Summit

   The Call For Paper is open until 31 October 2026 at GMT-4. More info →

   • Location: Paris, FR

   • In-person conference organized by Build It Summit.

   • The conference starts on the 1 December 2026.

   • Apply here

2. 5

   days

   Devopsdays Los Angeles

   The Call For Paper is open until 1 November 2026 at GMT-5. More info →

   • Location: Los Angeles, CA, USA

   • In-person conference organized by DevopsDays.

   • The conference starts on the 2 April 2027.

   • Apply here

3. 5

   days

   AI Conf Asia

   The Call For Paper is open until 1 November 2026 at GMT-5. More info →

   • Location: Kathmandu, NP

   • In-person conference organized by wwktm.

   • The conference starts on the 8 January 2027.

   • Apply here

4. 9

   days

   Open Source Conference Kolkata

   The Call For Paper is open until 5 November 2026 at GMT-5. More info →

   • Location: Kolkata, IN

   • In-person conference organized by Open Source Con India.

   • The conference starts on the 5 December 2026.

   • Apply here

5. 27

   days

   Big Data Europe

   The Call For Paper is open until 23 November 2026 at GMT-5. More info →

   • Location: Vilnius, LT

   • In-person conference organized by DATA MINER.

   • The conference starts on the 27 November 2026.

   • Apply here

6. 35

   days

   ContainerDays & AI Context London 2027

   The Call For Paper is open until 1 December 2026 at GMT-5. More info →

   • Location: London, GB

   • In-person conference organized by Dockland Media Group.

   • The conference starts on the 11 February 2027.

   • Apply here

7. 46

   days

   APE 2026

   The Call For Paper is open until 12 December 2026 at GMT-5. More info →

   • Location: Apenheul, NL

   • In-person conference organized by Stichting Meetups.

   • The conference starts on the 11 December 2026.

   • Apply here

More articles

• Your Observability Is Looking at the Wrong Things

  Benard Otieno

  This article argues that uptime, latency and error rate only tell you a system is alive, not correct, and shows which behaviour-level signals and baselines belong in dashboards and alerts instead.

• Untrusted Code, Trusted Cluster Scaling Secure AI Agent Workspaces with GKE Agent Sandbox

  Saurabh Mishra

  This article explains how GKE Agent Sandbox uses gVisor to isolate untrusted AI-generated code with separate node pools, Workload Identity, RBAC, and security observability.

• KubeClaw: OpenClaw for Adults

  Agent Native

  KubeClaw is a production-grade Helm chart for running OpenClaw AI agents on Kubernetes with secure defaults, pinned images, default-deny egress via Blocky, digest-locked upgrades, and batteries-included observability.

• How I Built a Production-Grade Object Detection System That Scales Itself

  Rushyanth Nerellakunta

  This article walks through a real-time object detection pipeline where Kafka absorbs bursty camera traffic, YOLOv8 workers autoscale on Kubernetes, and MLflow tracks every model version.

Even more articles →