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پستهای کانال
Repost from N/a
Kube Select is here. It tests one claim: more telemetry does not yield better decisions.
Henrik Rexed of Dynatrace joins hosts Salman Iqbal and Bart Farrell to test it.
You will learn:
- how service ownership gives telemetry incident context
- why proxy metrics can produce extreme data volume
- how AI agents run queries before human review
Watch: https://ku.bz/848pmBN5_
🌟 Kubernetes moves too fast to track everything. Learn Kubernetes Weekly filters out the noise to deliver one curated email with useful articles, tutorials, tools, jobs, events, and CFPs. Subscribe to Learn Kubernetes Weekly.
| 2 |  This article explains how to use Kubernetes Custom Resource Definitions and the reconciliation loop to manage, scale, and monitor multiple concurrent AI coding agents.
More: https://ku.bz/kvs_6VXSW | 158 |
| 3 |  AI optimizing AI — that's what Andrew Hillier and the team at Kubex shipped at KubeCon.
The trend is clear: agentic management is coming to Kubernetes. Instead of static rules, AI analyzes your environment and optimizes GPU utilization dynamically. Combined with advances in DRA (Dynamic Resource Allocation) and Kubernetes 1.35 improvements, the ecosystem is finally getting the tools to solve GPU underutilization at scale.
These GPUs are expensive. Seeing them sit idle is painful. The tooling is catching up.
Watch the full interview: https://ku.bz/wL-0d1X0y | 146 |
| 4 |  Edgecase 2026 brings 400+ cloud native professionals to Hilversum!
Join the largest Kubernetes-focused event in the Netherlands for technical sessions on Kubernetes, platform engineering, security, digital sovereignty, and cloud native infrastructure.
📆 September 24, 2026
📍 Gooiland, Hilversum, NL
Get 50% off with code: EC26-Kubeevents50
More info: https://www.truefullstaq.com/en/events/edgecase-2026 | 127 |
| 5 |  Running Java on Kubernetes? CPU and memory limits affect much more than scheduling.
A 4 GiB heap requires a container larger than 4 GiB. Fractional CPU limits can also change the processor count that HotSpot sees.
In our new article, you will learn:
- Why JVM heap size and container memory are different boundaries
- How CPU limits affect garbage collection, worker pools, and application performance
- Which JVM and container metrics to collect when validating resource settings under load
The article also includes practical experiments and an interactive configuration calculator.
Read: https://learnkube.com/java-jvm-kubernetes-requests-limits
Author: Gulcan! | 507 |
| 6 | kubectl-x is a kubectl plugin that runs the same read-only command against every context in your kubeconfig in parallel, and can merge the results into valid JSON or YAML.
More: https://ku.bz/DKVVbR-vB | 280 |
| 7 | This article explains the technical transition of Kubernetes port-forwarding and streaming commands from the deprecated SPDY protocol to WebSockets to improve proxy compatibility.
More: https://ku.bz/wz1d-v4qY | 335 |
| 8 |  diffyml compares YAML files by structure instead of line by line, and knows enough about Kubernetes resources to match them up even when the order changes.
More: https://ku.bz/69kPj1b9R | 275 |
| 9 | What emerging Kubernetes tools are experts paying attention to right now?
Bart Farrell from KubeFM looks back across 100+ KubeFM conversations to surface the tools guests kept mentioning, including Karpenter, Dapr, Argo CD, Kagent, Agent Gateway, OpenTelemetry, KRO, KCP, KubeVirt, Kueue, Kyverno, Headlamp, KEDA, Crossplane, KServe, ACK, and more. | 224 |
| 10 | Praesto is a Kubernetes-native operator and CSI driver that automates the caching and mounting of AI model artifacts from Hugging Face into workloads using local node storage or shared PVCs.
More: https://ku.bz/nl0_KD09R | 265 |
| 11 | Changing resources without restarts changes the trade-off in Kubernetes.
Roman Arcea explains how Vertical Pod Autoscaler and live pod resizing can make resource tuning less disruptive for running workloads.
Watch the full interview: https://ku.bz/sFvFF3Kvs | 258 |
| 12 |  This week on Learn Kubernetes Weekly 198:
🏗️ Data Lakehouse: Infrastructure
🔭 What the Popularity of Emerging Tools Tells Us About Kubernetes' Future
⚡ Kafka on Kubernetes: Performance Lessons for Any Disk-Heavy Data Service
🌐 To Centralise or Not to Centralise: The Questions That Shaped the Kubernetes CODECO Federated Architecture
🚨 Your AI Just Deleted the Wrong Deployment. Now What?
Read it now: https://kube.today/issues/198
⭐️ 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 | 774 |
| 13 |  This case study shows how EXANTE replaced manual Saturday releases with a fully automated GitLab CI + Flux + Jira pipeline across 60+ Django modules, 7 GKE environments, and 30+ services to meet fintech regulatory audit requirements.
More: https://ku.bz/8BHV_JGB8 | 316 |
| 14 | Kubernetes turned 10 last year. What does the next decade look like?
Abby Bangser sees Kubernetes becoming like Linux — essential infrastructure that fades into the background. The core will solidify while the community shifts focus to higher-level abstractions. AI workloads are accelerating this: they're being built on Kubernetes, which pushes it further into the "operating system" layer that teams build on top of rather than interact with directly.
The future of Kubernetes isn't more Kubernetes — it's what gets built on top of it.
Watch the full interview: https://ku.bz/5Rqq275dl | 258 |
| 15 | Introducing Kube Signals: the new KubeFM show that turns keynote trends into direct conversations with the speakers shaping them.
For episode one, Brian Teller sits down with Saiyam Pathak from vCluster after his KubeCon India keynote on AI factories. They examine why the GPU beneath the model is becoming a platform-engineering problem.
They discuss:
- Why whole-GPU allocation wastes capacity
- How DRA, HAMI, MIG, and MPS enable sharing
- What Kubernetes must learn to support AI factories
Watch the full episode: https://ku.bz/4QZDqrnf-
This episode is sponsored by LearnKube. Download the free book, The Technical Guide to Kubernetes Rightsizing, to understand what Prometheus and Grafana cannot tell you about safely reducing requests and limits. | 162 |
| 16 |  🎟️ We have 50 free OPEN Passes for API World + CloudX + AI TechWorld 2026!
Join developers, engineering leaders, and startups at three co-located conferences focused on APIs, cloud, and AI engineering. Each pass is valued at $195.
📆 September 1–3, 2026
📍 Santa Clara Convention Center, CA
Claim your free pass: https://link.devnetwork.com/GZljiJ78 | 199 |
| 17 | Kubie is an alternative to kubectx and kubens that gives every shell its own Kubernetes context and namespace, and can load contexts from split config files.
More: https://ku.bz/-tvB-G9Cx | 289 |
| 18 |  🚀 We just published The Technical Guide to Kubernetes Rightsizing in the Age of AI.
The guide follows the complete rightsizing process, from collecting metrics to applying changes safely in production.
- It explains how requests and limits affect scheduling and Linux resource controls.
- It examines how application runtimes change CPU and memory behavior.
- It also shows how KRR and VPA turn historical data into recommendations.
The book also examines where AI can help: collecting evidence, explaining recommendations, drafting policy, and carrying approved changes across systems without breaking prod.
Thank you to Gulcan and @danielepolencic for the research, experiments, writing, and illustrations behind this book.
Download the complete guide for free:
https://learnkube.com/kubernetes-rightsizing | 951 |
| 19 | AWS built SOCI and the fast-pull snapshotter to improve container image pull times — but they didn't keep it to themselves. Phil Estes explains why open source and upstream-first development were the only approaches that made sense.
The tools integrate directly with Containerd, work with any cluster (not just EKS), and improvements are flowing back into upstream core projects. You don't even need a custom snapshotter to benefit.
Watch the full interview: https://ku.bz/_ZLldHwVC | 356 |
| 20 |  This tutorial builds a real k6 test suite against Google's Online Boutique running on a home lab Kubernetes cluster, with a shared client library, smoke, load, stress, and browser tests, and the two bugs the first run exposed.
More: https://ku.bz/WdN67jxpY | 316 |
