Telegram RegisterThe public register of Telegram

Channel

DevOps Portal | Linux

@loose_code

On this record: Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Cite this entry

13,065subscribers

-13 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
DescriptionПрисоединяйтесь к нашему каналу и погрузитесь в мир DevOps Сотрудничество, реклама: @devmangx Менеджер: @Spiral_Yuri РКН: https://clck.ru/3P8kFH
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/loose_code

Growth

13,06313,07813,070.57 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 subscribers13,0657 August 202613 August 2026
7 measurements spanning 6 days, net -13. 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 13,061–13,080 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 01:3813,065+2
12 Aug 2026, 00:5313,063-2
10 Aug 2026, 21:2113,065-5
9 Aug 2026, 18:2713,070-2
8 Aug 2026, 19:2313,072-6
7 Aug 2026, 13:1613,078no change
7 Aug 2026, 13:0813,078first reading

Engagement

27 posts held, back to 24 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 18 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
19.5%
avg views ÷ 13,065 subscribers
Avg views / post
2,540
27 posts measured
Reaction rate
0.212%
reactions ÷ views · ER floor
Posts in window
27
of 27 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 26 of 27 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 12 August 2026
Posts held27 (24 July 202612 August 2026)
Views total68,612
Reactions total142
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 04:01 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
992
Videos
134
Links
1,030

Lifetime counters from Telegram’s own channel header, read 13 August 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
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

142 reactions across 26 posts, in 4 distinct kinds. The most used accounts for 66.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9566.9%
👍2416.9%
🔥2215.5%
🌚10.704%

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 26 of the 27 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 142reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 27 most recent posts we hold, published 24 July 2026 to 12 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.

Advertising

Ad load
3.70%
1 of 27 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
1,560
over 1 measured post
Median views · rest
2,070
over 26 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
2Vtzqwm7A1q110 August 202610 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 27 most recent posts we hold, published 24 July 2026 to 12 August 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

12 Aug 2026, 08:40 UTC962 views3 reactionsread 13 August 2026
Video

Как обученная AI-модель превращается в production API в Kubernetes? KServe — это проект CNCF на стадии Incubating для развёртывания и обслуживания AI-моделей в Kubernetes. Проще говоря, KServe берёт обученную модель и превращает её в масштабируемый inference-сервис в Kubernetes. Он берёт на себя деплой, сеть, автоскейлинг и health checks модели. Важно понимать, что KServe уже давно работает не только с классическ

2👍1

11 Aug 2026, 08:44 UTC≈1,330 views7 reactionsread 13 August 2026
Photo

KubePlumber проверяет работу сети Kubernetes изнутри кластера, тестируя: * внутренний DNS, * трафик между подами, * внешний DNS, * пропускную способность между нодами. ➤ https://github.com/David-VTUK/KubePlumber 👉 DevOps Portal

7

10 Aug 2026, 18:45 UTC≈1,540 views8 reactionsread 13 August 2026
Photo

20 Kubernetes-челленджей Итак, вот 20 вопросов (и ответов): 1. Подсчёт endpoints 2. Ждём чуда 3. Я сказал стоп 4. Проектирование shared-кластеров 5. Kernel panic 6. Прыгай, кролик 7. Сколько — это слишком много 8. Держим свет включённым 9. Прожорливый etcd 10. Умножение pod’ов 11. В одиночку 12. Rollin’ 13. All you can eat 14. Bounce 15. В кроличью нору 16. Throttled 17. Липкий бардак 18. Жив или м

👍53

10 Aug 2026, 14:07 UTC≈1,560 views1 reactionsread 13 August 2026
Advertisementerid 2Vtzqwm7A1qPhoto

🔍Тестовое собеседование с Head of DevOps уже завтра 11 августа(уже завтра!) в 19:00 по мск приходи онлайн на открытое собеседование, чтобы посмотреть на настоящее интервью на Middle DevOps-разработчика. Как это будет: 📂 Александр Хренников, Head of DevOps в KTS с опытом 14+ лет, будет задавать реальные вопросы и задачи разработчику-добровольцу 📂 Александр будет комментировать каждый ответ респондента, чтобы дать по

1

10 Aug 2026, 07:29 UTC≈1,530 views2 reactionsread 13 August 2026
Photo

Canary vs Shadow Deployment vs A/B Testing Когда мы деплоим модель в production, для неё применяются те же стратегии деплоя, которые обычно используются и для обычных приложений. Разберём три распространённые стратегии деплоя моделей. 1. Canary Traffic Splitting Небольшой процент реального трафика, например 10%, направляется на новую модель, после чего отслеживается её работа. Если с предсказаниями всё в порядке,

2

9 Aug 2026, 12:11 UTC≈1,590 views2 reactionsread 13 August 2026
Photo

DevOps-инструмент недели: Ray ML-нагрузка может отлично работать на одной GPU. Сложности начинаются, когда её нужно масштабировать на несколько GPU, работающих на разных нодах. Именно здесь помогает Ray. Ray – это опенсорс фреймворк с 43K+ звёзд на GitHub. Он помогает организовать распределённое выполнение задач: планирование задач, распределение ресурсов, параллельное выполнение, обмен данными между воркерами и

2

8 Aug 2026, 16:07 UTC≈1,580 views5 reactionsread 13 August 2026
Photo

KEDA GPU Scaler — это внешний scaler для KEDA, который получает метрики NVIDIA GPU через NVML и автоматически масштабирует vLLM, Triton, training jobs и кастомные inference-нагрузки без необходимости использовать Prometheus. https://github.com/pmady/keda-gpu-scaler 👉 DevOps Portal

🔥32

8 Aug 2026, 09:27 UTC≈1,550 views4 reactionsread 13 August 2026
Photo

K8up – это Kubernetes Operator, который позволяет: - Делать бэкапы всех PVC с режимом доступа ReadWriteMany или с определённым label - Запускать отдельные бэкапы по требованию - Настраивать регулярный запуск бэкапов по расписанию И многое другое ➜https://k8up.io/ 👉 DevOps Portal

2👍2

7 Aug 2026, 17:42 UTC≈1,590 views7 reactionsread 13 August 2026
Photo

Gang Scheduling в Kubernetes Это одна из ключевых концепций в MLOps Фреймворки для deep learning (TensorFlow, PyTorch и т. д.) требуют, чтобы во время обучения были запущены все воркеры. Допустим, training job требует 8 воркеров, каждый из которых запрашивает по 1 GPU. В Kubernetes-кластере свободно только 5 GPU. Без gang scheduling стандартный scheduler обрабатывает каждый Pod независимо. В результате 5 worker

4🔥3

7 Aug 2026, 11:10 UTC≈1,680 views4 reactionsread 13 August 2026
Photo

Xata — Kubernetes-native платформа для Postgres, предназначенная для запуска большого количества баз данных. Поддерживает copy-on-write ветвление, scale-to-zero, автоскейлинг, высокую доступность (HA), бэкапы, REST API, CLI и RBAC. https://github.com/xataio/xata 👉 DevOps Portal

4

7 Aug 2026, 06:52 UTC≈1,630 views3 reactionsread 13 August 2026
Photo

Изучите основы Kubernetes Ingress за 7 минут В этом подробном материале разберём: * Что такое Kubernetes Ingress? * Как работает Kubernetes Ingress? * Что такое Ingress Controller? * Как работает Ingress Controller? * Архитектуру Ingress и Ingress Controller https://devopscube.com/kubernetes-ingress-tutorial/ Примечание: хотя Ingress по-прежнему остаётся самым распространённым вариантом, Kubernetes постепенно дви

3

6 Aug 2026, 07:53 UTC≈1,950 views6 reactionsread 13 August 2026
Photo

Kubernetes Job и JobSet: в чём разница Разбираемся Job/CronJob запускает одну конкретную batch-нагрузку. Например: ETL-задачу, резервное копирование, генерацию отчётов и т. д. JobSet, в свою очередь, запускает несколько скоординированных Job как единую распределённую нагрузку. Каждая Job в наборе может иметь собственный шаблон Pod и связанные с ним настройки, но весь набор при этом работает как единое целое. По

6

Showing the 12 most recent of 27 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

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

Names

Channels on the register whose handles appear in this channel's posts.

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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“DevOps Portal | Linux” (@loose_code), 13,065 subscribers as measured 13 August 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.