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Publicaciones del Canal
dtop is a fast terminal dashboard written in Rust that shows what all your Docker containers are doing right now, across several hosts at once.
More: https://ku.bz/WBkFhLRSP
| 2 |  Kubernetes looks like an enterprise tool — multi-node clusters, pod scheduling, networking layers. For individual developers, the cost of running a real cluster on AWS, Azure, or GCP is often too high to justify just learning.
Varnit Goyal tried Minikube and Docker Desktop but found them too stripped-down. He wanted the whole experience — multiple nodes, real scheduling, a real network layer — without the enterprise price tag.
That search led him to run a complete Kubernetes cluster for $2.16/month.
Watch the full episode: https://ku.bz/HpVyQMVv0 | 150 |
| 3 |  Kubernetes production readiness checklist is a free, open checklist for taking applications to production on Kubernetes, covering app design, manifests, security, scaling and going live.
More: https://ku.bz/9zSG4sjDP | 510 |
| 4 |  This tutorial shows how two in-cluster services can authenticate each other with Service Account tokens and the TokenReview API, then makes it safer with audience-bound projected tokens.
More: https://ku.bz/rz69JFBdZ | 212 |
| 5 |  This article explains how to benchmark LLM inference by replaying production agent traces to capture realistic session-level metrics and dependencies using OpenTelemetry Trace Replay for Inference Perf.
More: https://ku.bz/Lr41DRrlf | 270 |
| 6 |  This week on Learn Kubernetes Weekly 199:
🔥 How Netflix Simplified Batch Compute with Kueue
💡 Server-side Apply: What Happens When You Run kubectl apply
🌐 Kubernetes Is Migrating from SPDY to WebSockets
🔁 How I Learned to Stop Worrying and Love the Reconciliation Loop
🔒 Securing CI/CD for an Open Source Project: Lessons from Cilium
Read it now: https://kube.today/issues/199
⭐️ 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 | 643 |
| 7 | What Kubernetes becomes over the next 10 years will depend on how it adapts to AI workloads and agentic applications.
Mauricio Salatino expects those changes to reshape the platform and raise the bar for developer tooling. He believes the future of Kubernetes will be defined by how easily teams can build and deploy these new (AI) workloads.
Watch the full interview: https://ku.bz/QXKc1tBFY | 227 |
| 8 |  This article explains what really happens when you run kubectl apply, and how server-side apply moves field ownership into the API server so Helm, Argo CD and HPAs hit conflicts.
More: https://ku.bz/KZ_RzWBV5 | 172 |
| 9 | k is a small kubectl wrapper that lets you switch context, cluster, and namespace inline with short prefixes instead of typing out long flags every time.
More: https://ku.bz/nGDPGD1Zr | 208 |
| 10 | 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. | 160 |
| 11 |  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 | 236 |
| 12 | 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 | 225 |
| 13 |  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 | 200 |
| 14 |  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! | 840 |
| 15 | 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 | 351 |
| 16 | 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 | 402 |
| 17 |  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 | 360 |
| 18 | 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. | 277 |
| 19 | 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 | 300 |
| 20 | 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 | 300 |
