"A lot of organizations don't have that choice. You basically have to take what your security team is telling you."
Mauro Morales on picking an OS for Kubernetes
📺: https://ku.bz/8cpgjFfjn
https://kube.careers/image-gen/digest?companies=Galileo+Financial+Technologies&companies=Palantir+Technologies&companies=T-Rex+Solutions¤cy=USD&salaryFrom=105600&salaryTo=198000&subtitle=This+week&title=6+Kubernetes+junior+jobs
Lynq Operator automates Kubernetes resource provisioning directly from database rows using Go templates and Sprig functions
➤ https://ku.bz/hpx6WyM4K
https://github.com/sgl-project/rbg/raw/main/doc/rbgs-concept.png
RoleBasedGroup is a Kubernetes API written in Go for orchestrating distributed stateful AI inference workloads with multi role collaboration and built in service discovery, treating inference services as role based groups rather than isolated workloads
➜ https://ku.bz/-sFQ3PwFR
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
➜ https://ku.bz/VWLLdYCbb
https://miro.medium.com/v2/1*YWw9Jl4ROx00iPzp13ziJQ.png
This article explains how CoreDNS works in OpenShift clusters, covering DNS resolution architecture where the 10th IP from service network is reserved for CoreDNS service
➤ https://ku.bz/wY0TJ3X8N
https://miro.medium.com/v2/1*XoSnfUC2rJByfZJEi9ObyA.png
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
➜ https://ku.bz/Z1JgV0d5_
Wozz helps engineering teams reduce Kubernetes spend through two approaches:
- Analyzes pull requests for resource changes and comments with cost impact before merge
- Scans running clusters to identify over-provisioned pods and wasted resources
➜ https://ku.bz/lPn96ff3b
Korrel8r is a rule-based correlation engine that automatically discovers and graphs relationships between Kubernetes cluster resources and observability signals across Prometheus, Loki, Alertmanager, and the Kubernetes API
➤ https://ku.bz/tdFklzjTN
k8sql is a tool written in Rust that queries Kubernetes clusters using SQL syntax, exposing resources as database tables and kubectl contexts as databases with a query planner that optimizes API calls by pushing filters server-side
➜ https://ku.bz/fn8FJqySQ
🗣️ Rafael Brito discusses cultural and organizational barriers preventing successful Kubernetes adoption, emphasizing how fear, doubt, and resistance create challenges beyond technical implementation
Watch the full interview: https://ku.bz/nZKfwy9q5
https://github.com/vieitesss/k8s-d2/raw/main/assets/example.png
k8s-d2 generates D2 diagram files from Kubernetes cluster topology, visualizing namespaces, workloads, services, and their relationships with customizable grid layouts and filtering options
➜ https://ku.bz/tD4Zs2k4k
🗣️ Tanat Lokejaroenlarb explains the hidden complexities of blue-green migrations between Kubernetes clusters, introducing the concept of "scale mismatch" where new clusters start empty. In contrast, existing ones are optimized for production
Watch: https://ku.bz/VVHFfXGl_
https://assets.learnk8s.io/linkedin-173.png
This week on the Learn Kubernetes Weekly:
🔥 Egress with Squid Proxy
💪 OS Migration Reduced Infra 30%
⚡ Auto & Load-based Scaling
🎯 Smart Scheduling: Cost Optimization
🤖 Claude Code Pilots K8s
⭐️ Hadron
Read it now: https://kube.today/issues/173
https://miro.medium.com/v2/1*33Ls3KiDAgngFMGdnp3wNg.png
This tutorial teaches how a request travels through Kubernetes using Gateway API and Istio, covering the entire path from browser to application pod to database
➤ https://ku.bz/WZnn7LZqr
https://miro.medium.com/v2/1*evoPmD0cH9qL3ps5mPVu1Q.png
This case study shows how to build a complete multi-environment Kubernetes platform using AI assistants like GPT and Claude to generate Terraform configurations, Helm charts, and CI/CD pipelines
➤ https://ku.bz/ll21gv1yJ
https://github.com/jtodic/docker-time-machine/raw/main/images/example1.png
Docker Time Machine is a CLI tool written in Go that tracks Docker image evolution through git history by walking through commits, building images, and recording metrics like size, layer count, and build time
➜ https://ku.bz/22cChgJBn
Kubey is a web-based Kubernetes dashboard that provides team visibility across multiple clusters, with cross-cluster deployment comparison, real-time monitoring, and web access
➜ https://ku.bz/NWccBgqR9
https://res.cloudinary.com/learnk8s/image/upload/v1772544380/gpu-sharing-problems-2026/slide-1.png
You want to share GPUs: one team runs inference, another trains models, and both need the same expensive cards.
The problem is that GPUs don't behave like CPU and RAM under contention.
(I will cover this on Thursday: ku.bz/multitenant26 )
🧵
"We assumed that implicit budget happens in Karpenter. It's not the case."
Adhi Sutandi on Karpenter's default 10% disruption budget catching his team off guard
📺: https://ku.bz/XyVfsSQPr
https://kube.careers/image-gen/digest?companies=Anthropic&companies=PlayStation+Global&companies=Harness¤cy=USD&salaryFrom=14100000&salaryTo=43688022&subtitle=This+week&title=6+Kubernetes+Platform+Engineer+jobs
This case study shows how implementing multi-cluster high availability for a Kubernetes PaaS platform unexpectedly caused more downtime than it prevented during maintenance operations
➤ https://ku.bz/rdy0ZsW0Q
Uncloud is a lightweight clustering tool that deploys and manages containerized applications across Docker hosts using Docker Compose syntax
➤ https://ku.bz/VQC0VyVh-
kinc is an open-source tool that lets you create a single-node, rootless Kubernetes cluster inside a container (using Podman + CRI-O + kubeadm)
➤ https://ku.bz/WNZh_5B-m
https://miro.medium.com/v2/1*zaTnJnqh-1Af20IYfJtF7g.png
This tutorial teaches how to connect ShellGPT CLI tool to a self-hosted OpenWebUI instance running on Kubernetes, solving SSL certificate verification and API endpoint issues
➜ https://ku.bz/qhy4Pp2pb
https://kube.events/image-gen/digest?ids=ab3469be-4bc4-4e0e-be31-1d0fccc66e9c,a10166bb-35c1-40c9-a9dd-bd9863919271,f854bd0f-d91b-4f87-aacc-fcdf73687abc,e4938794-4b51-4e8f-90ce-d5d89c83989b,9b4770ab-b1a9-4e72-be1f-7a14a70e211f,46b5df2c-0b04-438a-b23b-9d625c234862,759dc8aa-993f-4c60-8ac8-769453425629
https://res.cloudinary.com/learnk8s/image/upload/v1772004192/kubex-book-2026/slide-1.png
Gulcan and I wrote a free book on right-sizing GPUs in Kubernetes.
Here's the short version (thread)
https://res.cloudinary.com/learnk8s/image/upload/v1772003454/kubex-book-2026/gpu-right-sizing.png
How much of your GPU spend is actually producing work?
We published a free book on right-sizing GPUs in Kubernetes, covering metrics to architecture decisions across 4 chapters.
ku.bz/KL4jRvsL4
This tutorial teaches how to transform observability data into reliability improvements through:
- Service Level Objectives,
- error budgets,
- runbooks
- and blameless post-mortems for Kubernetes environments
➤ https://ku.bz/8C3k8vR62
CRD bootstrapper can install CRDs from GitHub release pages or ConfigMaps
It can also validate via templates before applying a CRD, and it will install newer versions automatically if the validation passes and the version constraint allows it
➤ https://ku.bz/6PybYM1yz
