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Channel

Kube Architect

@KubeArchitect

On this record: Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

8,968subscribers

-18 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001161699522
TypeChannel
Username@KubeArchitect
CreatedBetween 1 April 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live4 September 2026
Measurements held11
Confirmed unchanged1 time, most recently 4 September 2026
On Telegramt.me/KubeArchitect

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 3 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

8,9689,0078,987.57 August 2026 — 8,986 subscribers7 August 2026 — 8,986 subscribers10 August 2026 — 8,990 subscribers14 August 2026 — 8,997 subscribers17 August 2026 — 9,002 subscribers20 August 2026 — 9,007 subscribers23 August 2026 — 9,003 subscribers26 August 2026 — 8,994 subscribers29 August 2026 — 8,986 subscribers1 September 2026 — 8,978 subscribers4 September 2026 — 8,968 subscribers7 August 20264 September 2026
11 measurements spanning 28 days, net -18. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 8,962–9,013 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Sept 2026, 17:218,968-10
1 Sept 2026, 04:198,978-8
29 Aug 2026, 03:288,986-8
26 Aug 2026, 13:128,994-9
23 Aug 2026, 12:569,003-4
20 Aug 2026, 08:339,007+5
17 Aug 2026, 13:359,002+5
14 Aug 2026, 07:168,997+7
10 Aug 2026, 22:228,990+4
7 Aug 2026, 16:068,986no change
7 Aug 2026, 14:168,986first reading

Engagement

68 posts held, back to 20 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 30 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.49%
avg views ÷ 8,968 subscribers
Avg views / post
493
48 posts measured
Reaction rate
0.258%
reactions ÷ views · ER floor
Posts in window
48
of 68 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 11 of 48 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 28 August 2026
Posts held68 (20 July 202628 August 2026)
Views total23,650
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 15:41 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
1m 12s
Average length
3s

Measured directly from 24 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.

Reaction mix

25 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 72.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1872.0%
👍624.0%
👎14.00%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 21 of the 68 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 25 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 68 most recent posts we hold, published 20 July 2026 to 28 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

28 Aug 2026, 14:46 UTC72 viewsread 28 August 2026
Forwarded from @KubeFMVideo

Fabián Sellés Rosa, Tech Lead in the Runtime team @ Adevinta, explains the context behind a complex DNS challenge they faced. He describes how SHIP operates as a multi-tenant Kubernetes platform supporting diverse workloads across different marketplaces, including HTTP APIs and Kafka consumers/producers. When one tenant requested to switch to a new Kafka provider due to business and cost factors, the platform team f

27 Aug 2026, 19:16 UTC298 viewsread 28 August 2026

kro is a Kubernetes operator that lets you bundle many resources into one reusable custom resource, and it works out the dependencies and creation order for you. More: https://ku.bz/N58b_-TZm

27 Aug 2026, 16:06 UTC427 viewsread 28 August 2026
Photo

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

27 Aug 2026, 08:11 UTC318 viewsread 28 August 2026
Forwarded from @KubeFMVideo

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.

26 Aug 2026, 19:16 UTC429 viewsread 28 August 2026
Photo

This case study shows how Netflix moved millions of batch jobs from its homegrown queueing system to Kueue, without the people submitting those jobs noticing any change. More: https://ku.bz/3WtH2Fml9

26 Aug 2026, 15:46 UTC408 viewsread 28 August 2026
Photo

A native iOS and Android app for monitoring and managing Argo CD deployments from your phone. More: https://ku.bz/B2PTPHXxL

26 Aug 2026, 14:51 UTC347 viewsread 28 August 2026
Forwarded from @KubeFMVideo

Mai Nishitani, Director Enterprise Architecture @ NTT Data, breaks down why managing Kubernetes at enterprise scale is fundamentally different from the promise of simplified microservices. Mai reveals that despite organizations claiming to practice "DevOps," enterprise teams remain heavily siloed - with separate DevOps teams, application developers, infrastructure teams, and security teams all requiring coordination

26 Aug 2026, 11:36 UTC262 views2 reactionsread 28 August 2026
Forwarded from @LearnKubeNewsPhoto

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.tod

2

25 Aug 2026, 19:36 UTC394 viewsread 28 August 2026

CruiseKube is a Kubernetes-native resource optimization controller that automates CPU and memory right-sizing for workloads at runtime and admission time. More: https://ku.bz/tpcxHcx1Z

25 Aug 2026, 17:11 UTC413 viewsread 28 August 2026
Forwarded from @KubeFMVideo

Stephan Schwarz, DevOps Engineer at iits-consulting, shares his final advice for engineers starting their performance testing journey with Kubernetes workloads. He emphasizes four key practices: make only one change at a time to properly isolate variables, document everything you do, stay calm and inform your organization about testing plans to avoid surprises, and keep sweets and coffee around during long testing s

25 Aug 2026, 15:46 UTC372 viewsread 28 August 2026
Photo

KubeTable is a local-first desktop app for browsing databases inside your clusters, finding them from your kubeconfig and handling port-forwards so you can query Postgres, MySQL, Redis or MongoDB directly. More: https://ku.bz/TGdTskJzd

25 Aug 2026, 11:41 UTC292 views1 reactionsread 28 August 2026
Forwarded from @KubeFMVideo

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,

1

Showing the 12 most recent of 68 posts we hold for @KubeArchitect. 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.

Forward network

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Abhishek.Veeramalla
@abhishekveeramalla · 51,029
Telegram ranks this channel #2 of 68 here — alongside 67 others — read 25 August 2026
Naresh IT
@nareshit · 60,931
Telegram ranks this channel #49 of 67 here — alongside 66 others — read 22 August 2026
Freelancer | Freelance | Find Jobs & Projects
@Freelanceroff · 32,880
Telegram ranks this channel #65 of 88 here — alongside 87 others — read 4 September 2026

This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

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 4 September 2026 — this entry's latest reading, not the date you are reading this.

“Kube Architect” (@KubeArchitect), 8,968 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/KubeArchitect.

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.