Daily Kubernetes news, events, jobs, podcast and more

Spotlight

Automating Pod Disruption Budgets with Kyverno

Ahmad Asmar

This tutorial shows how to use Kyverno policy engine to generate Pod Disruption Budgets for Kubernetes deployments with multiple replicas, preventing downtime during Karpenter node consolidation through intelligent API lookups and label matching.

GPU Starvation in Kubernetes: How Dynamic MIG Partitioning Saved Our GPU Budget
Sphoorthi Charan Nayakudugari
This case study explains how the authors used dynamic MIG partitioning to split large GPUs like NVIDIA A100/H100 into multiple isolated slices, letting many small jobs share GPU efficiently.
Next-Gen Datacenter Networking: Unifying Arista Fabric with Cilium CNI
Jean Baptiste Lapeyre
This article explains how to integrate Arista datacenter fabric with Cilium CNI by building a spine-leaf architecture with an ISIS underlay and a BGP EVPN overlay.
Agent-driven SRE investigations: a practical deep dive into multi-agent incident response
Ar Hakboian
This article describes an experiment using three autonomous AI agents to conduct multi-agent SRE incident investigations in a sandboxed Kubernetes environment with real tooling access.

Tools and utilities

k9sight: Kubernetes TUI debugger
k9sight is a Go TUI for debugging Kubernetes workloads with vim-style navigation, supporting log search, exec, port-forward, scale, restart, and built-in debug helpers for common pod failure states like CrashLoopBackOff and ImagePullBackOff.
HolmesGPT
HolmesGPT is a tool that investigates incidents and provides root cause analysis for various issues, including Kubernetes, Prometheus, Jira, GitHub, OpsGenie, and PagerDuty alerts.
Heartbeat Operator: declarative probes
Heartbeat Operator is a Kubernetes Operator for declarative HTTP and TCP health probes defined via CRDs, with native Prometheus metrics and a ready-to-use Grafana dashboard.
KubeDiagrams
KubeDiagrams is a tool that automatically generates visual architecture diagrams from Kubernetes manifests, Helm charts, and live clusters.
lazydocker: docker TUI
lazydocker is a terminal UI for managing Docker containers and services, with log and metric graph viewing, container attachment, and execution of common Docker commands.

More projects →

Events starting soon

CKA Exam Study Session & Practice
March 23, 2026
- This is a virtual event
- This is a free event.
Build Tools for Your Team & Test Your Code in Seconds
March 24, 2026
- Location: Melbourne, AU
- This is a free event.
Performance Engineering Myths in Kubernetes Environments
March 25, 2026
- Location: Thrissur, IN
- This is a free event.
Apache Spark on Kubernetes: What Works, What Breaks, and How to Fix It
March 25, 2026
- Location: Bengaluru, IN
- This is a free event.
Lessons from implementing Kyverno for Kubernetes
March 25, 2026
- Location: Belfast, GB
- This is a free event.
SRECon Americas
March 25, 2026
- Location: Seattle, WA, USA
- This event requires an entrance fee

Discover more events onn Kube Events →

How We Cut Build Debugging Time by 75% with AI

Build failures in Kubernetes CI/CD pipelines are a silent productivity killer. Developers spend 45+ minutes scrolling through cryptic logs, often just hitting rerun and hoping for the best.

Ron Matsliah, DevOps engineer at Next Insurance, built an AI-powered assistant that cut build debugging time by 75% — not as a dashboard, but delivered directly in Slack where developers already work.

In this episode:

Why combining deterministic rules with AI produces better results than letting an LLM guess alone
How correlating Kubernetes events with build logs catches spot instance terminations that produce misleading errors
Why integrating into existing workflows and building feedback loops from day one drove adoption
The prompt engineering lessons learned from testing with real production data instead of synthetic examples

The takeaway: simple rules plus rich context consistently outperform complex AI queries on their own.

Learn from production

We Cut Our Kubernetes Pods by 60% and Doubled Traffic Capacity
Farid Guluzade
This case study shows how reducing JVM MaxRAMPercentage, cutting the Hikari connection pool from 50 to 20, and implementing aggressive HPA scale-up (0s stabilization, 4 pods/min) doubled traffic capacity while cutting baseline pods from 26 to 10.
From Chaos to 99.9% Uptime: Rebuilding a Kubernetes Platform for GPU Workloads
Mateen Ali Anjum
This case study describes rebuilding a fragile Kubernetes infrastructure into a production-grade platform for GPU-based ML workloads, improving deployment frequency from weekly to 10+ times daily.
How We Cut Build Debugging Time by 75% with a DevEx AI Assistant
Ron Matsliah
This article describes how the team at Next Insurance built an AI-powered microservice that watches build failures via Jenkins, analyzes logs automatically and posts clear, helpful feedback to Slack.
How We Turned a Forced OS Migration into a 30% Infrastructure Reduction
Scout24
This case study shows how Scout24 turned an Amazon Linux 2 end-of-life deadline into a 30% reduction in nodes across their EKS clusters by combining OS migration with Karpenter adoption.

More case studies →

Matching jobs

- Data Engineer with Per Scholas
- Salary: $360 a day
- Location: based in the office in Tampa, FL, USA
- Tech stack: Kubernetes, AWS, Docker, SQL, Python, Shell, Spark, Jenkins
- Data Engineer with Ping Identity
- Salary: $64.8K to $2.48L a year
- Location: based in the office in Bengaluru, IN
- Tech stack: Kubernetes, AWS, Docker, Javascript, Python, SQL, GraphQL, Cloudformation, Terraform
- Data Engineer with project44
- Salary: $72K to $1.88L a year
- Location: based in the office (and remote from home) in Bengaluru, IN
- Tech stack: Kubernetes, Docker, Java, Python, Scala, SQL, Snowflake, Kafka
- DevOps Engineer with Avelios Medical
- Salary: US$49.5K to US$368.5K a year
- Location: based in the office in Munich, DE
- Tech stack: Kubernetes, On-premise, Docker, Terraform, Ansible
- DevOps Engineer with Everpure
- Salary: €2.25K to €85.8K a year
- Location: based in the office in Prague, CZ
- Tech stack: Kubernetes, ArgoCD, Docker, Go, Python, Terraform, GitHub Actions

Discover more Kubernetes jobs on Kube Careers →

Build something

Building a Cloud-Native SaaS Backend on GCP
Juan Carlos Gonzalez Cabrero
This tutorial teaches how to build intelligent load balancing on GCP for Python microservices using Google Kubernetes Engine with Network Endpoint Groups, readiness probes, autoscaling, and observability to reduce failures.
Learning Istio the Hard Way: A Real Service Mesh Lab with Canary, mTLS, and Tracing.
Naman Raj
This tutorial teaches how to build a production-like service mesh lab using Istio with a 3-tier application (Next.js, Go, Flask) on a local Kind cluster.
Moving Logic Out of Pods: Extending the Argo Workflows Controller
Anton Pechenin
This tutorial shows you how to extend Argo Workflows using Executor Plugins by building HTTP servers that handle lightweight tasks in reusable agent pods instead of spinning up separate pods for each step.
Mastering GKE Multi-Tenancy: The Power of Namespaces, RBAC, and Quotas
Suraj Bhattarai
This tutorial teaches how to implement multi-tenancy on Google Kubernetes Engine using namespaces for isolation, RBAC for access control, and resource quotas for capacity management.