Open-source kubectl plugin for collecting a structured cluster snapshot for debugging and analysis.

Agent project focused on improving Kubernetes configuration hygiene and reducing misconfiguration risk.

Project targeting high-performance large language model inference workloads.

Enterprise-oriented platform for serving and operating LLM workloads on Kubernetes.

Tooling aimed at simplifying local Kubernetes development environments.

Security-focused extension project for strengthening Kubernetes environments.

a structural diff that understands syntax

This case study explains how JVM tuning, a smaller Hikari pool, and faster HPA scale-up doubled traffic capacity while reducing baseline pods.

This article distills incident-driven lessons on troubleshooting, configuration mistakes, and operational habits that make Kubernetes outages worse.

This article covers rebuilding a Kubernetes platform for GPU workloads to reach 99.9% uptime after operational instability.

At VictoriaMetrics, we built vlagent as a high-performance log collector for VictoriaLogs. To validate its performance and correctness under a real production-like load, we developed a benchmark suite and ran it against 8 popular log collectors. This post covers the methodology, throughput results, resource usage, and delivery correctness.

This tutorial walks through building a Go game server with Agones, matchmaking, Fleet allocation, and autoscaling on Kubernetes.

This tutorial shows how to migrate PostgreSQL to CloudNativePG on Kubernetes with logical replication and no downtime.

This tutorial shows how to deploy NGINX Gateway Fabric on GKE with Terraform, split traffic paths, and automate TLS certificates.

This interview compares the cost and operational tradeoffs of moving a Kubernetes workload from GKE Autopilot to Hetzner with Edka.

A horizontal autoscaler for Kubernetes workloads, saving cloud costs by scaling workloads down after hours. This is a golang port and successor of the popular (py-)kube-downscaler with improvements and quality of life changes.

This tool analyzes Karpenter NodePool usage and offers AI-powered recommendations to reduce AWS EC2 costs while maintaining performance.

Explore OCI container images without running them.

eBPF-powered Linux observability with AI incident detection.

Visualize your cluster topology, browse resources, stream logs, exec into pods, inspect container image filesystems, manage Helm releases, monitor GitOps workflows (FluxCD & ArgoCD), and forward ports — all from a single binary with zero cluster-side installation.