Channel
@KubeFM
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
333subscribers
+7 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001563069270 |
|---|---|
| Type | Channel |
| Username | @KubeFM |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 9 October 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 9 October 2026 |
| On Telegram | t.me/KubeFM |
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 22 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Oct 2026, 02:16 | 333 | -1 |
| 28 Sept 2026, 00:37 | 334 | +1 |
| 11 Sept 2026, 08:58 | 333 | +2 |
| 24 Aug 2026, 23:08 | 331 | -1 |
| 16 Aug 2026, 16:12 | 332 | +5 |
| 8 Aug 2026, 07:18 | 327 | no change |
| 8 Aug 2026, 06:00 | 327 | +1 |
| 7 Aug 2026, 13:50 | 326 | first reading |
20 posts held, back to 4 August 2026 — 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 20 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 9 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.
Kubernetes tooling is shifting from deployment pipelines to AI request routing. Joel Vasallo walks through the tools he is watching now: Argo and Kargo for software delivery, then Kagent and Agent Gateway for the next wave of platform work. His point is simple: platform teams now need standards for how AI and agent traffic gets routed, observed, and deployed. Watch the full interview: https://ku.bz/zTPZwj-__
This interview is brought to you by Google Cloud — build on GKE, the open platform for the AI era https://ku.bz/kKZQySLRV
New infrastructure often gets treated like a shortcut to better delivery. It rarely works that way. Nathen Harvey explains why tools are necessary but not sufficient: every infrastructure shift also changes how teams work, collaborate, and approach delivery. Kubernetes, containers, and observability all shape engineering practice, not just the technical stack. Watch the full interview: https://ku.bz/LvXfZXzcN
This interview is brought to you by Google Cloud — build on GKE, the open platform for the AI era https://ku.bz/kKZQySLRV
This episode is brought to you by StormForge — automate Kubernetes rightsizing with machine learning. Smarter limits, less waste, better performance. https://ku.bz/X7ls6SKmr
Oleksii Kolodiazhnyi, Senior Architect @ Mirantis, explains the motivation behind his structured approach to Kubernetes workload assessment and his article "Graphs in Your Head." Oleksii shares how he transformed his real-world assessment work on Mirantis Source Registry 4 (MSR4) into actionable guidance, bridging the gap between academic theory and practical application for architects and engineers who need to asse…
When AI writes Kubernetes, who catches the risk? Qodo explores this in a series on wahy faster infrastructure code needs smarter review, not just more automation → https://ku.bz/wy4kwdFqg
When one pull request spans app code, config, and CI, the weakest point is usually not the app. Artem Lajko explains that ownership is split between developers and platform teams, so config changes lack true end-to-end accountability. That makes breakage harder to spot before merge and easier to discover only when CI or infrastructure behavior changes.
This episode is sponsored by LearnKube - get started on your Kubernetes journey through comprehensive online, in-person or remote training https://learnkube.com/training
David Pech, Staff Cloud Ops Engineer, shares hard-learned lessons about introducing Kubernetes and cloud-native practices to organizations with legacy systems. Drawing from a real-world experience where his technically superior Kubernetes solution was ultimately rejected in favor of FTP deployment, David identifies three critical organizational factors that determine success: 1. Team readiness is fundamental - the d…
Kubernetes quality breaks down fast when code, configuration, and testing all get reviewed the same way. Andrew Block explains that platform teams are dealing with different kinds of artifacts for different purposes. His point is simple: Helm charts should not be treated like application source code, and mixing those concerns makes reviews weaker. Watch the full interview: https://ku.bz/-q_FYPGj8
When AI writes Kubernetes, who catches the risk? Qodo explores this in a series on wahy faster infrastructure code needs smarter review, not just more automation → https://ku.bz/wy4kwdFqg
Showing the 12 most recent of 20 posts we hold for @KubeFM. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 9 October 2026 — this entry's latest reading, not the date you are reading this.
“KubeFM” (@KubeFM), 333 subscribers as measured 9 October 2026. Telegram Register, tgregister.com/channel/KubeFM.
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.