Learn from production

• Three Weeks in the Trenches: Hunting a 4GB Native Memory Leak That .NET Couldn’t See

  Kalyan Josyula

  This case study shows how a team traced repeated pod OOM kills in ASP.NET Core to native memory growth from zombie SignalR connections, glibc fragmentation, and kernel socket buffers.

• Our Kubernetes Cluster Was Costing $14,850/Month. We Moved to Fly.io for $680.

  Aditya Suryawanshi

  This is a war story about a 3-person startup that replaced a $14,850/month over-engineered Kubernetes setup on AWS with Fly.io for $680, cutting P99 latency from 320ms to 180ms and deploy time from 8 minutes to 45 seconds.

• 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.

More case studies →

Matching jobs

1. • Data Engineer with Capital Technology Group

   • Salary: $26 to $297.88K a year

   • Location: remote from

   • Tech stack: Kubernetes, AWS, Docker, Java, Python, SQL, PostgreSQL, Kafka, Terraform, Splunk

2. • Data Engineer with Rivian and Volkswagen Group Technologies

   • Salary: US$97.2K to US$220.22K a year

   • Location: based in the office in Vancouver, CA

   • Tech stack: Kubernetes, Go, Spark

3. • DevOps Engineer with Blink Health

   • Salary: $90 to $484K a year

   • Location: remote from

   • Tech stack: Kubernetes, AWS, Grafana, Nagios, NewRelic

4. • DevOps Engineer with Bluestaq

   • Salary: $95K to $140K a year

   • Location: based in the office in Colorado Springs, CO, USA

   • Tech stack: Kubernetes, AWS, Azure, GCP, On-premise, Powershell, Python, Shell, Terraform, Ansible

5. • DevOps Engineer with Box

   • Salary: $90 to $484K a year

   • Location: based in the office in Warsaw, PL

   • Tech stack: Kubernetes, AWS, Azure, GCP, Docker, Go, Python, Ruby, Typescript, GitHub Actions

Discover more Kubernetes jobs on Kube Careers →

Build something

• Mastering Crossview Deployment: Securing Your Crossplane Dashboard in an Enterprise Kubernetes Environment

  Moeid Heidari

  This tutorial teaches how to deploy Crossview on Kubernetes with Helm and secure it for enterprise use with session auth, SSO, proxy header auth, RBAC, TLS, and high-availability settings.

• Testing Kubernetes Deployments and Operators from Java Without the Usual Boilerplate

  David Kornel

  This tutorial shows how to test Kubernetes deployments and operators from Java on real clusters without heavy boilerplate by using kubetest4j on top of the Fabric8 client.

• CRaC in Production: 88% Faster Spring Boot Startups on Kubernetes

  Shawrup K Suter

  This tutorial shows how CRaC can cut Spring Boot startup time on Kubernetes from 23 seconds to 2.8 seconds and explains the real production issues around AWS SDK checkpointing and OpenTelemetry.

• Stop Opening AWS Tickets: Build a Self-Service Platform with Backstage + Crossplane

  Sajosam

  This tutorial shows how to build a self-service IDP where developers provision real AWS S3 buckets via a Backstage form, with Crossplane handling AWS API calls through Kubernetes CRDs.

More tutorials →

More articles

• We brought Skew Protection to your Kubernetes

  Marco Piraccini

  This article explains how Kubernetes skew protection routes traffic based on app version to prevent frontend and backend mismatches during deployments, and version-aware routing using the Gateway API.

• DocumentDB on Kubernetes: Resilient, Highly Available Databases with Automatic Failover

  Abhishek Gupta

  This article explains how the DocumentDB Kubernetes Operator delivers high availability with automatic failover, replica promotion, and optional zone, region, and multi-cloud resilience.

• Lazy-pulling container images: a deep dive into OCI seekability

  Zain

  This article covers:

  • why OCI container layers resist random access due to DEFLATE dependency chains,
  • benchmarks eStargz, SOCI, Nydus, and cloud-managed lazy-pulling approaches,
  • how FUSE-based lazy pulling shifts cost from pull to runtime.
• What 6 Months of Tracking a Production OpenShift Cluster Revealed About Kubernetes Costs

  Rodrigue Chakode

  This article explains what six months of production OpenShift cost tracking revealed, including a 24 to 30 percent non-allocatable CPU tax and how infrastructure overhead can consume most cluster capacity before app workloads even start.

Even more articles →