Channel
@KubeToday
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
5subscribers
+0 since we began measuring on 31 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002575581295 |
|---|---|
| Type | Channel |
| Username | @KubeToday |
| Created | 13 June 2025 — measured — dated from the channel’s first post |
| First recorded | 31 August 2026 |
| Last confirmed live | 31 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 31 August 2026 |
| On Telegram | t.me/KubeToday |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 31 Aug 2026, 17:37 | 5 | no change |
| 31 Aug 2026, 03:35 | 5 | first reading |
13 posts held, back to 13 June 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 13 posts for this entry, the most recent from 4 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
The newest tool is not automatically the right architectural choice. Before evaluating implementations, Fabián Sellés Rosa defined three criteria: flexibility, production maturity, and operational effort. This made it possible to compare Crossplane, a custom controller, and KRO with ACK on the same terms. You will learn: - Why KIAM became urgent to replace after years of stable operation - How to define evaluation…
Federico Iezzi, Customer Engineer at Google Cloud, explains how his team achieved 1 million output tokens per second using Qwen 3.5 27B, vLLM, GKE Autopilot, and NVIDIA B200 GPUs. You will learn: - Why memory bandwidth limits decode performance - How Federico chose between tensor and data parallelism - What changed after enabling multi-token prediction and reducing the KV cache footprint with FP8 quantization Watc…
New on LearnKube: Server-side apply: what happens when you run kubectl apply Server-side apply changes how Kubernetes handles field ownership. Kubernetes objects are shared state. Manifests, controllers, release tools, autoscalers, webhooks, and operators can all shape the same object. With client-side apply, stale intent can overwrite live changes. With server-side apply, ownership moves into the API server. Kub…
🚀 New on LearnKube: Microservice authentication with Kubernetes Service Accounts. Service Accounts are usually described as identities used to call the Kubernetes API. But you can also use them to authenticate requests between services inside the cluster. The article walks through: - how an API service can pass its Service Account token to a data store - how the data store can validate the token with the TokenRev…
🚀 New on LearnKube: “User and workload identities in Kubernetes.” The Kubernetes API server must identify the caller before it can check permissions. The article follows that identity through the request path: external users, in-cluster workloads, service account tokens, projected volumes, JWT claims, TokenReview, and AWS IAM federation. You will learn: - how authentication differs from authorization - why human …
🚀 New on LearnKube: "Kubelet Metrics: How cAdvisor and CRI Collect Kubernetes Stats." Kubernetes metrics often look like a Prometheus topic, but the data originates much lower in the stack. This guide explains how kubelet collects and exposes pod, container, node, and resource metrics, and how that path changes when stats move from cAdvisor to the container runtime through CRI. You will learn: - how Linux cgroups…
We published a Kubernetes production-readiness checklist for teams preparing workloads for production. The checklist is designed to help platform and application teams review the Kubernetes-specific behavior that affects an application before it goes live. It includes: - An interactive checklist - Detailed explanations for each production-readiness check - A downloadable PDF worksheet It walks through five areas:…
We published a new page for companies that want to work with LearnKube: https://learnkube.com/for-marketers Some LearnKube projects are too large to make alone. The GPU ebooks we published recently are a good example: https://learnkube.com/books They are free because sponsors helped fund the research, writing, production, webinars, and distribution behind them. We want to keep creating ambitious technical educati…
New report: Immutable OS for Kubernetes We’ve published a new report on how teams manage Kubernetes node OSes in practice. Based on 2,138 responses across 4 platforms, the report examines node updates, incident response, CVE patch windows, and OS customization. The results suggest that immutable-node operations are becoming more common, but the hard part is still operational: building reliable image pipelines, obse…
📕 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 …
We're giving away 10 tickets to DeveloperWeek. The world's largest independent dev conference: 8 events in one: AI, Cloud Native, DevOps, Frontend, Security. 250+ speakers, workshops, and a hackathon. 📅 18-20 Feb 📍 San Jose, CA + Virtual Get in touch at [email protected] to claim yours. → https://www.developerweek.com/
🤝 What does it take to become part of the Kubernetes community? After 12 in-depth interviews and months of research, we're releasing "Kubernetes World: Finding Your Path"—a book that explores the real journey into cloud native, beyond certifications and code contributions. The book features conversations with: - Bob Killen, Jorge Castro, and Taylor Dolezal on contributor experience - Lin Sun and Kaslin Fields on na…
Showing the 12 most recent of 13 posts we hold for @KubeToday. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 31 August 2026 — this entry's latest reading, not the date you are reading this.
“Kube Today” (@KubeToday), 5 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/KubeToday.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.