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 10 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 the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (5 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 3 of the 4 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 120 comparable posts for this entry, running 29 July 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Recorded under the key clone_copy, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
59 measurements spanning 97 days, net +200. 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 19,636–19,931 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)
Subscribers
Change
11 Nov 2026, 01:28
19,870
-1
9 Nov 2026, 13:34
19,871
-3
8 Nov 2026, 04:51
19,874
+4
5 Nov 2026, 20:26
19,870
+10
4 Nov 2026, 16:41
19,860
-4
3 Nov 2026, 16:49
19,864
+1
2 Nov 2026, 20:19
19,863
+1
1 Nov 2026, 21:26
19,862
-4
31 Oct 2026, 21:28
19,866
-1
30 Oct 2026, 23:44
19,867
-7
29 Oct 2026, 22:39
19,874
-1
28 Oct 2026, 22:58
19,875
-10
27 Oct 2026, 20:38
19,885
-2
26 Oct 2026, 18:41
19,887
-6
25 Oct 2026, 17:08
19,893
+6
24 Oct 2026, 14:04
19,887
+1
23 Oct 2026, 17:18
19,886
-5
22 Oct 2026, 14:19
19,891
-5
21 Oct 2026, 06:31
19,896
+7
20 Oct 2026, 04:37
19,889
first reading
Engagement
128 posts held, back to 29 July 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 74 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.9%
avg views ÷ 19,870 subscribers
Avg views / post
2,160
39 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
39
of 128 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 1 of 39 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 10 November 2026
Posts held
128 (29 July 2026 – 10 November 2026)
Views total
84,360
Reactions total
0
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 03:41 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
Photos
≈426
Videos
≈1
Links
≈5,610
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
1m 59s
Average length
1m 59s
Measured directly from 1 video 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 128 we hold a reading for · 0.8%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @devopslibrary. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 128 most recent posts we hold for this entry, published 29 July 2026 to 10 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Advertising
Ad load
14.1%
18 of 128 posts carry an ad marker
Regulatory tokens
18
posts carrying an erid · 18 distinct tokens
Median views · ads
2,570
over 18 measured posts
Median views · rest
2,430
over 110 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VtzquZctk3
1
10 August 2026
10 August 2026
2VtzqufzAg5
1
28 October 2026
28 October 2026
2VtzqvERRyd
1
25 August 2026
25 August 2026
2VtzqvHEFpX
1
11 August 2026
11 August 2026
2VtzqvY8GGz
1
29 July 2026
29 July 2026
2VtzqvYKd9d
1
17 August 2026
17 August 2026
2VtzqvfVsqU
1
3 August 2026
3 August 2026
2Vtzqvqgags
1
12 August 2026
12 August 2026
2VtzqvwpkP4
1
6 August 2026
6 August 2026
2VtzqwWeuAs
1
1 September 2026
1 September 2026
2VtzqwZgASa
1
10 November 2026
10 November 2026
2VtzqwcGyWj
1
19 August 2026
19 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it. 6 further tokens are held for this entry and not listed here.
Measured over the 128 most recent posts we hold, published 29 July 2026 to 10 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 39 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
VictoriaStack
You can deploy VictoriaStack as binaries on bare metal, as docker containers, or in Kubernetes via Helm charts and the operator.
https://docs.victoriametrics.com/victoriastack/quick-start
wellcake
A Kubernetes operator for Valkey. It manages Valkey across four topologies — Standalone, Replication, Sentinel, and Cluster — with operator-driven failover, proactive zero-downtime rolling restarts, cluster bootstrap/scale/reshard, S3 backups, multi-region replication, and no-restart secret rotation.
https://github.com/melancholictheory/wellcake
Как доставлять приложение в продакшен без ручных операций и зависимости от внешних сервисов?
На открытом уроке покажем связку GitLab CI и Argo CD внутри Kubernetes-кластера: от сборки и тестирования кода до автоматической доставки приложения.
За 90 минут соберём работающий конвейер и разберём, как настроить автономный процесс CI/CD внутри собственной инфраструктуры.
Урок проходит в преддверии старта курса «Инфраст…
KICS
Find security vulnerabilities, compliance issues, and infrastructure misconfigurations early in the development cycle of your infrastructure-as-code with KICS by Checkmarx. KICS stands for Keeping Infrastructure as Code Secure, it is open source and is a must-have for any cloud native project.
https://github.com/Checkmarx/kics
Multi-VLAN MetalLB on OpenShift4 Without BGP
How to make MetalLB’s Layer 2 mode work across multiple VLANs on bare-metal and virtualized OpenShift 4.x workers without touching a single BGP session.
https://medium.com/@salehmiri90/multiple-vlan-metallb-on-openshift4-without-bgp-82f243cb2d2e
An eBPF Loophole: Using XDP for Egress Traffic
XDP (eXpress Data Path) is the fastest packet processing framework in linux - but it only works for incoming (ingress) traffic. We discovered how to use it for outgoing (egress) traffic by exploiting a loophole in how the linux kernel determines packet direction.
https://loopholelabs.io/blog/xdp-for-egress-traffic
How We Built Production-Like Staging Environments on Kubernetes for Every Feature Branch
A practical way to give every feature branch its own production-like environment without multiplying infrastructure complexity.
https://medium.com/@danielerota/how-we-built-production-like-staging-environments-on-kubernetes-for-every-feature-branch-11cfb285d76b
How We Built Production-Like Staging Environments on Kubernetes for Every Feature Branch
A practical way to give every feature branch its own production-like environment without multiplying infrastructure complexity.
https://medium.com/@danielerota/how-we-built-production-like-staging-environments-on-kubernetes-for-every-feature-branch-11cfb285d76b
We Scaled an Insurance Batch Job 4000x — Here’s Every Bottleneck We Hit
Our insurance platform was tested with 50 insured objects maximum and that also took around 10 minutes for the end to end policy creation. And this happened via an asynchronous batch job which started after the user uploaded a csv file with the input data. And our goal was to do it for 100k insured objects in 20 minutes max.
https://medium.com/…
Client-Side Load Balancing at a Million Requests Per Second
How we built an in-process client-side load balancer for a million requests per second of internal fan-out traffic, what we layered on top (N-ring fade-in, occupancy-based bounded load, and AZ-aware routing with a latency health factor), and how hardening that path cut cost and made the service resilient to the infrastructure underneath it.
https://enginee…
sholdee/crd-schema-publisher: CRD Docs and IDE Validation
Extracts CRD schemas from Kubernetes or YAML, converts Kubernetes built-in resource schemas from /openapi/v2, and publishes a searchable documentation site with interactive schema pages.
https://github.com/sholdee/crd-schema-publisher
⚡ Онлайн-митап IT_ONE: Между кодом и продом
Три прикладных доклада для тех, кто отвечает за стабильность инфраструктуры. Обсудим на встрече защиту Helm-чартов
от некорректных данных, научим писать надежные проверки
на helm-unittest и разберем развертывание собственной LLM-модели для всей команды.
Приглашаем разработчиков, DevOps-, QA- и SRE-инженеров, тимлидов и архитекторов.
12 ноября
18:00 (мск), онлайн
Регистра…
Showing the 12 most recent of 128 posts we hold for @devopslibrary. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Mentions
Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 30 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Devops Jobs — вакансии и резюме @devops_jobs_feed · 22,271 Telegram ranks this channel #14 of 95 here — alongside 94 others — read 22 September 2026
DevOps @DevOPSitsec · 23,892 Telegram ranks this channel #15 of 90 here — alongside 89 others — read 18 September 2026
DevOps community for love @devopsforlove · 44,606 Telegram ranks this channel #16 of 95 here — alongside 94 others — read 9 September 2026
ДЕВОПСИНА | DevOps | Linux @devopsina · 23,569 Telegram ranks this channel #27 of 90 here — alongside 89 others — read 18 September 2026
hahacker_news @hahacker_news · 25,231 Telegram ranks this channel #31 of 59 here — alongside 58 others — read 14 September 2026
ServerAdmin.ru @srv_admin · 32,701 Telegram ranks this channel #35 of 96 here — alongside 95 others — read 5 September 2026
Abhishek.Veeramalla @abhishekveeramalla · 50,405 Telegram ranks this channel #37 of 68 here — alongside 67 others — read 25 August 2026
BZD • Книги для программистов @bzd_channel · 36,213 Telegram ranks this channel #44 of 57 here — alongside 56 others — read 1 September 2026
IT STAND @ITSTAND_ORG · 164,814 Telegram ranks this channel #45 of 98 here — alongside 97 others — read 9 September 2026
Bash Days | Linux | DevOps @bashdays · 23,621 Telegram ranks this channel #46 of 94 here — alongside 93 others — read 18 September 2026
Yandex Cloud @yandexcloudnews · 23,951 Telegram ranks this channel #56 of 97 here — alongside 96 others — read 22 September 2026
DevOps by REBRAIN @rebrain_devops · 28,735 Telegram ranks this channel #56 of 94 here — alongside 93 others — read 9 September 2026
⛳️🪁घे भरारी तू🪁⛳️ @ghebhararitu · 18,773 Telegram ranks this channel #60 of 62 here — alongside 61 others — read 3 October 2026
Системный администратор @i_odmin · 26,713 Telegram ranks this channel #62 of 89 here — alongside 88 others — read 12 September 2026
GitHub repos @github_repos · 28,145 Telegram ranks this channel #66 of 76 here — alongside 75 others — read 11 September 2026
Библиотека Go-разработчика | Golang @goproglib · 23,894 Telegram ranks this channel #76 of 91 here — alongside 90 others — read 17 September 2026
Linuxgram 🐧 @linuxgram · 72,399 Telegram ranks this channel #76 of 90 here — alongside 89 others — read 19 August 2026
Книги для Системного Администратора @i_odmin_book · 18,778 Telegram ranks this channel #77 of 83 here — alongside 82 others — read 5 October 2026
This channel appears in 18 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“DevOps&SRE Library” (@devopslibrary), 19,870 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/devopslibrary.
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.