Telegram RegisterThe public register of Telegram
Telegram profile photo for DevOps Portal | Linux

Channel

DevOps Portal | Linux

@loose_code

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry

13,084subscribers

+6 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001657364770
TypeChannel
Username@loose_code
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 September 2026
Measurements held28
Confirmed unchanged2 times, most recently 17 September 2026
On Telegramt.me/loose_code

Topic

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 11 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.

Growth

13,06313,09113,0777 August 2026 — 13,078 subscribers7 August 2026 — 13,078 subscribers8 August 2026 — 13,072 subscribers9 August 2026 — 13,070 subscribers10 August 2026 — 13,065 subscribers12 August 2026 — 13,063 subscribers13 August 2026 — 13,065 subscribers14 August 2026 — 13,072 subscribers15 August 2026 — 13,077 subscribers17 August 2026 — 13,081 subscribers18 August 2026 — 13,083 subscribers19 August 2026 — 13,081 subscribers21 August 2026 — 13,080 subscribers22 August 2026 — 13,082 subscribers24 August 2026 — 13,080 subscribers25 August 2026 — 13,078 subscribers26 August 2026 — 13,074 subscribers27 August 2026 — 13,079 subscribers29 August 2026 — 13,086 subscribers31 August 2026 — 13,087 subscribers1 September 2026 — 13,084 subscribers2 September 2026 — 13,078 subscribers3 September 2026 — 13,070 subscribers6 September 2026 — 13,072 subscribers9 September 2026 — 13,084 subscribers12 September 2026 — 13,091 subscribers13 September 2026 — 13,090 subscribers15 September 2026 — 13,084 subscribers13,0847 August 202615 September 2026
28 measurements spanning 39 days, net +6. 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 13,059–13,095 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
15 Sept 2026, 10:5813,084-6
13 Sept 2026, 19:3713,090-1
12 Sept 2026, 00:1713,091+7
9 Sept 2026, 14:2013,084+12
6 Sept 2026, 04:3613,072+2
3 Sept 2026, 22:4213,070-8
2 Sept 2026, 17:0613,078-6
1 Sept 2026, 14:5513,084-3
31 Aug 2026, 13:0413,087+1
29 Aug 2026, 08:2613,086+7
27 Aug 2026, 10:0513,079+5
26 Aug 2026, 06:5713,074-4
25 Aug 2026, 07:1213,078-2
24 Aug 2026, 10:0813,080-2
22 Aug 2026, 19:3913,082+2
21 Aug 2026, 06:5813,080-1
19 Aug 2026, 10:1313,081-2
18 Aug 2026, 07:0313,083+2
17 Aug 2026, 09:5813,081+4
15 Aug 2026, 20:0713,077first reading

Engagement

50 posts held, back to 24 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 55 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
10.8%
avg views ÷ 13,084 subscribers
Avg views / post
1,420
12 posts measured
Reaction rate
0.444%
reactions ÷ views · ER floor
Posts in window
12
of 50 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 12 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 2 September 2026
Posts held50 (24 July 2026 – 2 September 2026)
Views total16,985
Reactions total72
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 20:46 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
3m 04s
Average length
37s

Measured directly from 5 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

374 reactions across 48 posts, in 11 distinct kinds. The most used accounts for 51.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤19251.3%
👍9826.2%
🔥5715.2%
👀133.48%
😁41.07%
🌚30.802%
🌭20.535%
🤔20.535%
🤝10.267%
🤯10.267%
🥱10.267%

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 48 of the 50 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 374 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 50 most recent posts we hold, published 24 July 2026 to 2 September 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.

Advertising

Ad load
2.00%
1 of 50 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
2,040
over 1 measured post
Median views · rest
2,240
over 49 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. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2Vtzqx2RJwM127 August 202627 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.

Measured over the 50 most recent posts we hold, published 24 July 2026 to 2 September 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

2 Sept 2026, 13:51 UTC755 viewsread 2 September 2026
Photo

Друзья! Осенью этого года в День тестировщика 9 сентября в Москве пройдет очередная ежегодная конференция по обеспечению качества ИТ-систем «Перфоманс Конф 12». Формат: онлайн и оффлайн Конференция полезна инженерам по нагрузочному тестированию, руководителям отделов QA, DevOps, SRE-специалистам и всем тем, кто занимается производительностью, надёжностью и нагрузкой. На мероприятии выступят спикеры из таких компан…

2 Sept 2026, 11:40 UTC≈1,010 views3 reactionsread 2 September 2026
Photo

Все мониторят поды, но почти никто не следит за этим критически важным компонентом А потом в Kubernetes-кластере что-то ломается – и внезапно etcd становится самым важным компонентом всей инфраструктуры. Потому что etcd – это мозг Kubernetes. Каждый Deployment, Secret, ConfigMap и Node хранится в etcd в виде данных. И вот что многие понимают неправильно: Только API Server взаимодействует с etcd напрямую. Поэтом…

❤3

1 Sept 2026, 10:00 UTC≈1,290 views5 reactionsread 2 September 2026
Photo

В этой статье рассказывается, как спроектировать AI-агента для SRE-задач, который анализирует алерты, логи, данные Kubernetes, ранбуки, деплои и сигналы observability, чтобы диагностировать инциденты и предлагать безопасные действия. https://blog.stackademic.com/building-an-ai-agent-that-runs-your-sre-operations-what-i-learned-what-works-and-how-you-can-do-8a3801124bdc 👉 DevOps Portal

👍5

31 Aug 2026, 12:11 UTC≈1,480 views9 reactionsread 2 September 2026
Photo

Подборка всегда актуальных DevOps-песочниц В каждой песочнице можно запустить до 5 Linux VM и использовать окружение до 24 часов: * Ubuntu 26.04, Debian Trixie, Fedora 44 * Kubernetes 1.37, Docker и Podman * Go 1.27, Python 3.14, Node 26 Практикуйтесь как профи: https://labs.iximiuz.com/playgrounds 👉 DevOps Portal

👍5❤4

31 Aug 2026, 09:20 UTC≈1,380 views5 reactionsread 2 September 2026
Photo

На Stepik запустили годный курс по «Troubleshooting Docker и Kubernetes: поиск и устранение проблем» В программе только важные аспекты: — troubleshooting Docker и образов — диагностика сетевых проблем — настройка readiness/liveness probes — отладка pod’ов, деплоев и ingress — анализ логов контейнеров и кластера — разбор ошибок CrashLoopBackOff, OOMKilled, ImagePullBackOff и других Собеседования на DevOps/SRE сейча…

🔥4🤝1

31 Aug 2026, 08:07 UTC≈1,450 views4 reactionsread 2 September 2026
Photo

Kubernetes In-Place Pod Resize Раньше в Kubernetes нельзя было изменить CPU или memory для уже запущенного Pod без его перезапуска. Но функция In-Place Pod Resize решает эту проблему. Вот подробный материал, в котором разобрали: * Что такое In-Place Pod Resize * Как это работает под капотом * Зачем нужен VPA для изменения ресурсов Pod без перезапуска * Что происходит, если на ноде не хватает ресурсов * Когда стои…

❤4

30 Aug 2026, 10:10 UTC≈1,590 views7 reactionsread 2 September 2026
Photo

DevOps-инструмент недели: RAGFlow Собрать RAG-пайплайн с нуля - непростая задача. Нужно самостоятельно реализовать: • Парсинг документов • Чанкинг и создание эмбеддингов • Хранение в векторной базе • Логику поиска и re-ranking При этом большинство документов - это далеко не чистый текст: в них есть таблицы, изображения, отсканированные страницы и сложное форматирование. Для базового RAG-пайплайна корректно обраба…

❤5👍2

30 Aug 2026, 08:00 UTC≈1,360 views5 reactionsread 2 September 2026
Forwarded from @mentorix_educationPhoto

📊 Grafana: дашборды, PromQL и алерты — новый курс на Mentorix Прод лежит, а вы узнаёте об этом от пользователей? Курс о наблюдаемости руками: соберёте дашборд, по которому видно состояние сервиса — запросы, ошибки, время ответа. ⚙️ Внутри: модель данных Prometheus, четыре типа метрик, PromQL, панели и переменные дашбордов, алерты, которые звонят по делу 🧩 Задачи с автопроверкой на каждом шаге 💻 Финальный проект — д…

❤4🌭1

29 Aug 2026, 18:58 UTC≈1,570 views6 reactionsread 2 September 2026
Photo

Как собирать компактные образы контейнеров Подробный разбор того, из-за чего production-образы обычно раздуваются и как этого избежать с помощью multi-stage builds и грамотного выбора базовых образов. С практическими примерами для Node.js, Go, Rust, Java и PHP: https://labs.iximiuz.com/tutorials/docker-multi-stage-builds 👉 DevOps Portal

❤5👍1

29 Aug 2026, 15:45 UTC≈1,580 views19 reactionsread 1 September 2026
Photo

Как купить Gemini Pro на 1.5 года за 4.99$?? Топовая нейронка для создания видео, картинок, написания кода и работы. Сейчас цена 4.99$ вместо 360$ на 1.5 года (схема рабочая, всё легально оформляется) ✅Nano Banana 2 PRO (картинки для ТТ и YT) ✅Видео генерация (видео, нарезки, мувики) ✅Gemini AI Pro (для кодеров) ✅Доступ к AntiGravity ✅ 5 ТБ облака в Google One ✅Deep Research (для курсачей за 5 минут) Продаётся в Т…

❤12🔥2🤔2😁2🥱1

29 Aug 2026, 14:03 UTC≈1,710 views6 reactionsread 2 September 2026
Photo

Ballast — это Kubernetes-оператор, который анализирует историю реального потребления ресурсов и сам корректирует CPU- и memory requests – либо на этапе admission, либо прямо у уже запущенных Pod’ов. ➜ https://github.com/Tight-Line/ballast 👉 DevOps Portal

❤3🔥2👀1

28 Aug 2026, 10:07 UTC≈1,810 views3 reactionsread 2 September 2026
Photo

DevOps-инструмент недели: KubeAI Запуск AI-моделей в Kubernetes часто означает необходимость управлять vLLM, автоскейлингом, Knative и кучей YAML-файлов, которые со временем становится сложно поддерживать. KubeAI заменяет весь этот стек одним оператором. KubeAI — это open-source Kubernetes-оператор, который деплоит и масштабирует AI-модели через простую конфигурацию на базе CRD. Что он умеет 👇 * Деплоит и масшта…

❤2🔥1

Showing the 12 most recent of 50 posts we hold for @loose_code. 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

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.

Mentions

Named by 3 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.

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.

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.

Python Portal
@PythonPortal · 50,417
Telegram ranks this channel #9 of 80 here — alongside 79 others — read 25 August 2026
IT Portal
@IT_Portal · 100,284
Telegram ranks this channel #18 of 78 here — alongside 77 others — read 15 August 2026
Montana.exe
@dejavu041 · 49,886
Telegram ranks this channel #40 of 80 here — alongside 79 others — read 25 August 2026
DevOps
@DevOPSitsec · 23,684
Telegram ranks this channel #48 of 90 here — alongside 89 others — read 18 September 2026
DevOps by REBRAIN
@rebrain_devops · 28,873
Telegram ranks this channel #54 of 94 here — alongside 93 others — read 9 September 2026
Frontend Portal
@FrontendPortal · 36,678
Telegram ranks this channel #59 of 90 here — alongside 89 others — read 1 September 2026
Python Developer
@python_tg · 20,963
Telegram ranks this channel #63 of 85 here — alongside 84 others — read 25 September 2026
Devops Jobs — вакансии и резюме
@devops_jobs_feed · 21,917
Telegram ranks this channel #68 of 95 here — alongside 94 others — read 22 September 2026

This channel appears in 8 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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“DevOps Portal | Linux” (@loose_code), 13,084 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/loose_code.

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.