Spotlight
Saeed Zarinfam
This tutorial shows how to use the Service Binding for Kubernetes spec to automatically bind Spring Boot apps to backing services (e.g. PostgreSQL) via Spring Cloud Bindings, eliminating manual env var wiring.
This article introduces a Kubernetes Gateway API extension built for LLM/inference workloads, enabling model-aware routing, per-request criticality, and inference-optimized load balancing.
This article shows how to use Kubernetes Mixins (bundles of dashboards, alerts, rules in Jsonnet) to bootstrap observability in Grafana/Mimir/Alloy setups, with config overrides for custom metrics.
This article introduces percentage-based request mirroring, CORS filtering, gateway merging, and retry budgets in Gateway API v1.3, highlighting which features are GA and which remain experimental.
Tools and utilities
Kubesearch is a searchable index of popular Helm chart releases in categories such as observability, networking, storage, and automation.
Argo CD Diff Preview is a tool that renders the diff between two branches in a Git repository, providing a clear and concise view of the changes between two branches, similar to Atlantis for Terraform.
kubectl-ai acts as an intelligent interface, translating user intent into precise Kubernetes operations and making Kubernetes management more accessible and efficient.
Koreo is a platform engineering toolkit for Kubernetes that simplifies configuration management and resource orchestration.
Cloudflare Kubernetes Gateway is a controller that manages Kubernetes ingress traffic with Cloudflare Tunnels via the Gateway API.
Events starting soon
October 2, 2025
Location: Zürich, CH
This is a free event.
October 2, 2025
This is a virtual event
This is a free event.
October 2, 2025
Location: Freiburg, DE
This is a free event.
October 2, 2025
This is a virtual event
This is a free event.
October 2, 2025
Location: San Jose, CA, USA
This is a free event.
October 3, 2025
This is a virtual event
This is a free event.
Learn from production
Konstantin Shilovskiy
This case study shows how to build architecture for scalable ML pipeline on Azure using Kubernetes and KEDA to generate inputs with 500 pods and deploy models via Azure ML.
Igor Yermakov
This case study shows how to reduce monthly Azure costs from €25k to €8k through Kubernetes and virtual machine optimization.
It covers writing a custom Go operator to scale deployments to zero replicas based on outbound call queue length.
Gowtham Sai
In this case study, you'll learn why Go services in Kubernetes can experience latency issues when GOMAXPROCS defaults don't match actual CPU allocations, and how to prevent these problems through explicit configuration and metric monitoring.
Rotem Maayan
In this case study, you will learn how to reduce cross-AZ traffic costs in EKS by creating zone-specific deployments with HPA, using Istio DestinationRule for locality load balancing, and KEDA for predictive pod scaling across zones.
Matching jobs
Data Engineer with Elicit
Salary: $185K to $305K a year
Location: remote from the United States
Tech stack: Kubernetes, Python, SQL, Javascript, Typescript, Spark, Airflow, Hadoop
Data Engineer with Southwest Career
Salary: $86.85K to $96.5K a year
Location: based in the office in Dallas, TX, USA
Tech stack: Kubernetes, AWS, On-premise, OpenShift, Shell, Python, SQL, Java, Cloudformation, Jenkins
DevOps Engineer with 1X Technologies AS
Salary: $124.1K to $139.93K a year
Location: based in the office in Palo Alto, CA, USA
Tech stack: Kubernetes, AWS, Azure, GCP, Docker, Shell, Python, Terraform, Cloudformation, CircleCI
DevOps Engineer with Barclays
Salary: $120K to $175K a year
Location: based in the office in Whippany, NJ, USA
Tech stack: Kubernetes, Docker, Go, Python
DevOps Engineer with Jasper
Salary: $170K to $200K a year
Location: remote from the United States
Tech stack: Kubernetes, GCP, Helm, ArgoCD, Go, Shell, Python, Typescript, Terraform, Jenkins
Build something
Thanh Enc
This tutorial walks through building a production-grade Kubernetes cluster on a bare-metal workstation using Multipass VMs, MicroK8s, MetalLB for LoadBalancer support, and a Cloudflare tunnel.
Ashish Kamat
Kagent is an agentic AI framework for Kubernetes that lets engineers run autonomous AI agents to automate operations and troubleshooting.
It installs via shell or Helm and integrates with LLMs through the Model Context Protocol (MCP).
CodeLink
This tutorial teaches how to reduce ML deployment costs using Kubernetes and KEDA to autoscale GPU nodes from zero based on message queue length.
Stefan Prodan
This tutorial teaches how to use the Flux MCP Server to connect AI assistants to Kubernetes, using natural language to manage and troubleshoot GitOps pipelines.
More articles
Zain
This article explains traditional Kubernetes resource monitoring flaws by advocating for direct Linux pressure-stall metrics to accurately identify task contention and resource competition.
Alexei Ledenev
This article explains Kubernetes 1.33 in-place pod resizing lets you change CPU and memory resources without restarting pods
It details how resizePolicy works, sidecar handling, current limitations, and required kubelet and runtime support.
Kubermatic enables automated lifecycle management of thousands of Kubernetes clusters across multi-cloud, on-prem, and edge environments from a single control plane.
Chris Engelbert
This article benchmarks Simplyblock vs Ceph on NVMe infrastructure, showing that Simplyblock delivers over 4× higher IOPS with only ~25% of Ceph’s NVMe drives.
