📕 We published a book on optimising and right-sizing GPUs in Kubernetes.

Most GPU clusters show 100% allocation and single-digit actual usage.

The book helps you:

- Tell whether your GPUs are actually computing or just allocated
- Pick the right metrics instead of trusting nvidia-smi
- Choose between time-slicing, MIG, and dedicated GPUs based on real data
- Stop GPU waste from cascading into CPU and memory waste

Download it for free here: ku.bz/KL4jRvsL4

This book was made possible by Kubex.

"The supply chain has become the sharp end of the wedge."

Andrew Martin traces the evolution of software supply chain attacks from boot sector viruses to modern npm-borne worms. His team signs everything, generates SBOMs, and verifies Cosign artifacts at admission time into Kubernetes clusters.

The prediction for 2026: continuous validation of supply chain security metadata at runtime will become a staple in Kubernetes security tooling this year.



Watch the full interview: https://ku.bz/wyMlWGTqf

This tutorial teaches how to implement Kubernetes egress control using Squid proxy and NetworkPolicy for visibility and enforcement of outbound traffic without service mesh complexity.

More: https://ku.bz/XyLs9nnzh

Karpenter can rotate your nodes for three reasons: they're underutilized, they're empty, or the AMI has drifted from what you specified.

You can set a disruption budget for each reason to control how many nodes rotate at once. But here's the catch: if you only set budgets for two reasons and skip the third, Karpenter doesn't disable it. It silently applies a default 10% budget to any reason you didn't mention.

Adhi Sutandi's team found this the hard way — drift events fired during maintenance windows they thought were locked down. The fix? Set a single budget of one node with no reason qualifier, so it applies to everything.



New episode out now: https://ku.bz/XyVfsSQPr

Chainloop is an evidence store and policy engine for Software Supply Chain attestations, SBOMs, VEX, SARIF, and QA reports, with contract-based workflows, Rego policy evaluation, and third-party integrations such as Dependency-Track and Guac.

More: https://ku.bz/_wQslV4bc

This week on Learn Kubernetes Weekly 173:

🔥 Kubernetes Egress Control with Squid Proxy
💪 How We Turned a Forced OS Migration into a 30% Infrastructure Reduction
⚡ Auto-scaling and Load-based Scaling in Kubernetes
🎯 Smart Scheduler: Intelligent Pod Placement for Kubernetes Cost Optimization
🤖 Using Claude Code to Pilot Kubernetes on Autodock

Read it now: https://kube.today/issues/173

⭐️ This newsletter is brought to you by Hadron, the new lightweight secure Linux OS from the Kairos team https://ku.bz/mMZytrj-z

pwru is an eBPF-based tool for tracing network packets in the Linux kernel with advanced filtering capabilities.

It allows fine-grained introspection of kernel state to facilitate debugging network connectivity issues.

More: https://ku.bz/Q3X1ngZGC

This article demonstrates how to exploit Kubernetes PKI and kubelet credentials after gaining node access to escalate from pod compromise to full cluster control.

More: https://ku.bz/NxVxjKtt0

This week's 6 best Kubernetes vacancies that focus on security are:

DevSecOps Engineer with Anthropic
💰 $40.5M to $48.5M a year
🏠 From the office in San Francisco, CA, USA
→ https://ku.bz/wrrnmcjDQ

DevSecOps Engineer with Tailscale
💰 $15.96M to $19.97M a year
🌎 Fully remote
→ https://ku.bz/J9Cs7QBBp

DevSecOps Engineer with Accenture Federal Services
💰 $11.49M to $15.13M a year
👨‍💻 Remote from
→ https://ku.bz/bsl59cPMh

DevSecOps Engineer with OpenAI
💰 $364.5K to $490K a year
👨‍💻 Remote from the United States of America
→ https://ku.bz/NXd17JHfV

DevSecOps Engineer with Faire
💰 $268K to $368.5K a year
🏠 From the office in San Francisco, CA, USA
→ https://ku.bz/Lt703grhh

👉 Browse 2459 jobs on Kube Careers https://kube.careers

Nicholaos Mouzourakis, Staff Product Security Engineer at Gusto, breaks down the common deployment patterns for Open Policy Agent (OPA) in Kubernetes environments. He explains the tradeoffs between individual pods, auto-scaling groups, daemon sets, sidecars, and WASM modules.

He outlines critical considerations for selecting the right deployment option:

- Latency requirements
- Bandwidth constraints
- Development overhead
- Feature compatibility (noting WASM modules lack full standard library support)
- Cloud costs and policy size implications

He notes that co-located pods typically achieve a few milliseconds of latency, and suggests WASM modules for those requiring even better performance.

Watch the full episode: https://kube.fmhttps://ku.bz/S-2vQ_j-4

cek is a command-line tool for exploring OCI container image filesystems, reading file contents, and inspecting layer mechanics without running containers by connecting to container daemons or pulling from registries.

More: https://ku.bz/VWLLdYCbb

Spectro Cloud just announced Hadron Linux — a brand new Linux distribution engineered from scratch by the Kairos team.

Ettore Di Giacinto explains: Hadron is purpose-built as a minimal, immutable base layer for edge infrastructure. Unlike retrofitted general-purpose distributions, it is specifically designed to eliminate common friction points when deploying Kubernetes at scale.

The goal: a Linux foundation that treats edge as a first-class target, not an afterthought.





Watch the announcement: https://ku.bz/wMhKpZ5bQ

Read the announcement: https://ku.bz/_9RmXnjDJ

This article solves automated certificate distribution for EAP-TLS WiFi authentication using nginx-proxy on Kubernetes with step-ca, avoiding traditional MDM by hosting mobileconfig files at an HTTPS endpoint with mTLS authentication.

More: https://ku.bz/spclMhjDz

Zero trust in Kubernetes works best as a layered model, not a single toggle.

Abhishek Rao breaks down a phased approach: start with micro-segmentation, add identity with mTLS, and enforce cluster-level ingress and egress controls. This creates security boundaries teams can reason about and maintain.

Strong security comes from structure, not one-off rules.



Watch the full interview: https://ku.bz/_q9XBgY2c

This interview is a reaction to John Howard's episode https://ku.bz/sk-ZF1PG9

Linnix is an eBPF + PSI-powered Kubernetes observability agent written in Rust that identifies which pod is actually stalling your services, not just consuming CPU.

More: https://ku.bz/x-VQLHwSW

Fernando from SadServers on how he cut his Kubernetes bill from $1,000/month on GKE to $30/month on Hetzner with Edka — a 500% cost reduction for the same capacity.

You will learn:

- Why Kubernetes hasn't delivered on its original promise of cost savings through bin packing — and what it actually provides instead
- A real cost comparison: $1,000/month on GKE vs. $30/month on Hetzner with Edka for the same nominal capacity
- What you need to bring with you (observability, logging, dashboards) when leaving a fully managed cloud provider

Watch (or listen to) it here: https://ku.bz/6nSDbz9m4

🌟 This episode is brought to you by LearnKube — get started on your Kubernetes journey through comprehensive online, in-person or remote training https://learnkube.com/training

With @Birthmarkb

This article shows how to use tofu-controller to manage Terraform resources with GitOps for external systems like Grafana dashboards and HashiCorp Vault policies with continuous reconciliation and automatic drift detection.

More: https://ku.bz/B3y_Zflr7

This week on Learn Kubernetes Weekly 174:

🤖 How We Cut Build Debugging Time by 75% with a DevEx AI Assistant
🔥 We Cut Our Kubernetes Pods by 60% and Doubled Traffic Capacity
📈 Scaling Django SaaS to 1M Users: Async ORM, Caching, and Horizontal Pods
⚠️ Hidden Kubernetes Bad Practices Learned the Hard Way During Incidents
🥷 Kubernetes PKI & Kubelet Credential Abuse: From Popping a Pod to Owning the Cluster

Read it now: https://kube.today/issues/174

⭐️ This newsletter is brought to you by LearnKube — master Kubernetes with hands-on training designed for engineers who want to learn the smart way https://ku.bz/hypSbyc-V

This week's 6 best Kubernetes vacancies that focus on security are:

DevSecOps Engineer with Anthropic
💰 $40.5M to $48.5M a year
🏠 From the office in San Francisco, CA, USA
→ https://ku.bz/wrrnmcjDQ

DevSecOps Engineer with Tailscale
💰 $16.1M to $20.14M a year
🌎 Fully remote
→ https://ku.bz/J9Cs7QBBp

DevSecOps Engineer with Accenture Federal Services
💰 $11.49M to $15.13M a year
👨‍💻 Remote from
→ https://ku.bz/bsl59cPMh

DevSecOps Engineer with OpenAI
💰 $364.5K to $490K a year
👨‍💻 Remote from the United States of America
→ https://ku.bz/NXd17JHfV

DevSecOps Engineer with Faire
💰 $268K to $368.5K a year
🏠 From the office in San Francisco, CA, USA
→ https://ku.bz/Lt703grhh

👉 Browse 2543 jobs on Kube Careers https://kube.careers

Mike Stefaniak, Head of Product, Kubernetes and Registries at Amazon Web Services (AWS), shares three key trends he's observing at KubeCon that are shaping the future of Kubernetes deployments:

1. How security and trust are becoming critical differentiators in open source projects
2. The resurgence of service mesh communication patterns, particularly around routing models and enabling communication between multiple agents within clusters.
3. The growing need for more sophisticated authorization mechanisms in Kubernetes to handle the actions that AI agents and MCP (Model Context Protocol) tools might take

Watch the full interview: https://ku.bz/PzjrglcZJ

Ron Matsliah from Next Insurance built an AI assistant that cut build debugging time by 75% — combining deterministic rules with AI, delivered straight into Slack.

You will learn:

- 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

Watch (or listen to) it here: https://ku.bz/PDdYfC00w

🌟 This episode is brought to you by LearnKube — get started on your Kubernetes journey through comprehensive online, in-person or remote training. https://learnkube.com/training

With @Birthmarkb