Telegram RegisterThe public register of Telegram

Channel

CORTEL

@Cortel_cloud

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

4,044subscribers

-3 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001216747063
TypeChannel
Username@Cortel_cloud
Created28 October 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/Cortel_cloud

Growth

4,0444,0474,045.56 August 2026 — 4,047 subscribers7 August 2026 — 4,046 subscribers10 August 2026 — 4,045 subscribers13 August 2026 — 4,044 subscribers6 August 202613 August 2026
4 measurements spanning 7 days, net -3. 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 4,044–4,047 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 16:054,044-1
10 Aug 2026, 11:524,045-1
7 Aug 2026, 14:344,046-1
6 Aug 2026, 23:334,047first reading

Engagement

20 posts held, back to 10 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 4 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
15.6%
avg views ÷ 4,044 subscribers
Avg views / post
631
8 posts measured
Reaction rate
1.60%
reactions ÷ views · ER floor
Posts in window
8
of 20 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held20 (10 June 20266 August 2026)
Views total5,048
Reactions total81
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:41 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
6s
Average length
6s

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.

Reaction mix

200 reactions across 20 posts, in 6 distinct kinds. The most used accounts for 36.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍7236.0%
5829.0%
🔥5829.0%
👏73.50%
👎31.50%
😁21.00%

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 20 of the 20 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 200reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 10 June 2026 to 6 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

6 Aug 2026, 07:20 UTC312 views11 reactionsread 8 August 2026
Photo

🐧 nftables — современный фреймворк для фильтрации пакетов и NAT в Linux, пришедший на смену связке iptables/ip6tables/arptables/ebtables. Зачем менять iptables на nftables — Единый синтаксис для IPv4, IPv6, ARP и Ethernet-фреймов вместо четырёх отдельных утилит — Правила применяются атомарно — нет промежуточного состояния с частично применённым набором — Встроенные структуры данных (sets, maps) вместо десятков одно

4🔥4👍3

5 Aug 2026, 07:27 UTC353 views9 reactionsread 8 August 2026
Photo

💻 HPA: автоскейлинг по метрикам Horizontal Pod Autoscaler (HPA) — встроенный контроллер Kubernetes, который автоматически изменяет количество реплик Deployment, StatefulSet или ReplicaSet в зависимости от текущей нагрузки. Задача HPA — держать нагрузку на под в заданных рамках, не привлекая к этому человека. 🔺 HPA работает в цикле (по умолчанию — раз в 15 секунд): — Получает текущие метрики из metrics-server (или в

4👍3🔥2

3 Aug 2026, 06:37 UTC542 views1 reactionsread 8 August 2026
Forwarded from @devops_fmPhoto

Как ИИ-агенты снижают нагрузку: кейсы 👨‍💻Переход к агентам начинается с осознания, что ИИ – лишь инструмент, а не универсальное решение. Вместо того чтобы держать 10 вкладок Claude Code в браузере, DevOps-инженер Евгений Дехтярёв создал автономную систему на базе оркестратора Paperclip и моделей Claude (Opus/Sonnet). Ниже мы описали, как агенты справляются с задачами команды из 50 разработчиков и менеджеров. ⏺Рути

👍1

30 Jul 2026, 06:20 UTC660 views11 reactionsread 8 August 2026
Photo

⚙️ jq и yq — два похожих инструмента для работы со структурированными данными прямо в терминале: jq для JSON, yq для YAML. Оба решают одну и ту же боль — вытащить, отфильтровать или изменить нужное поле из структуры данных без написания скрипта. 🟢 jq — Принимает JSON на входе, применяет фильтр-выражение, отдаёт результат — тоже JSON (или текст). Базовый синтаксис: команда | jq 'фильтр' Пример исходных данных (r

5👍3🔥3

28 Jul 2026, 08:20 UTC644 views11 reactionsread 8 August 2026
Photo

💻 PV, PVC и StorageClass: как под получает диск в Kubernetes Контейнеры по умолчанию эфемерны — при перезапуске пода всё содержимое файловой системы исчезает. Для баз данных, очередей и любых сервисов с состоянием это неприемлемо, поэтому в Kubernetes существует отдельная модель работы с хранилищем, отвязанная от жизненного цикла пода. 🔺Persistent Volume (PV) — Объект кластера, описывающий конкретный кусок хранили

👍63🔥2

23 Jul 2026, 06:43 UTC787 views15 reactionsread 8 August 2026
Photo

🖥 ip / iproute2 — стандарт для управления сетью в современном Linux. Пришёл на смену устаревшему net-tools (ifconfig, route, arp), которые давно не входят в базовую установку большинства дистрибутивов. Всё, что раньше делалось десятком разных утилит, теперь собрано в одной команде с единым синтаксисом. 🟣 Как устроено? Команда ip работает по схеме: ip [объект] [команда] Где объект — это то, чем управляем (link, a

🔥10👍32

21 Jul 2026, 06:10 UTC826 views12 reactionsread 8 August 2026
Photo

📝 Шпаргалка по Logging, Tracing и Metrics. Помогает понять, как устроен мониторинг в распределённых системах: что измерять, где искать события и как восстанавливать путь запроса между сервисами. ➡️ Три компонента мониторинга — Metrics (метрики) Числовые показатели системы во времени: загрузка CPU и памяти, RPS, задержка, процент ошибок, количество запросов, доступность сервисов. Метрики хорошо подходят для дашбор

🔥7👍3👏2

15 Jul 2026, 06:48 UTC924 views11 reactionsread 8 August 2026
Photo

💻 Job и CronJob: разовые и периодические задачи в Kubernetes Deployment создан для приложений, которые должны работать постоянно: упал под — контроллер тут же поднимет новый. Но не всякая нагрузка такая. Миграция базы, генерация отчёта, очистка старых данных — задачи, которые должны выполниться до конца и завершиться. Для них в Kubernetes есть Job и CronJob. 💬 Job — задача, которая должна завершиться успешно Job с

👍53🔥3

14 Jul 2026, 06:57 UTC≈2,010 views13 reactionsread 8 August 2026
Photo

🤑 Как заработать с инфраструктуры больше? Мы подняли партнёрское вознаграждение до 100% первого платежа клиента и гарантируем регулярный доход до 20% с дальнейших оплат. Если назрела задача по VPS, облаку, бэкапам, каналам или чувствительным данным — можно дополнительно заработать в CORTEL : ребята подключатся, разберут задачу, подготовят решение, запустят инфраструктуру и будут поддерживать её 24/7, а вы получите

👍73🔥3

13 Jul 2026, 07:20 UTC960 views13 reactionsread 8 August 2026
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🇷🇺 Импортозамещение VMware: куда и как переезжать в 2026 году Как перестроить виртуальную инфраструктуру так, чтобы она пережила требования регуляторов, отсутствие западного саппорта, смену поколений железа, рост требований к сети и хранению — и при этом не убила эксплуатацию. Разобрали в новом материале. #статья

👍5👎3🔥2😁2👏1

9 Jul 2026, 06:45 UTC≈1,120 views15 reactionsread 8 August 2026
Photo

🖥 AWK — мощный язык обработки текста, заточенный под построчный разбор данных по колонкам. Назван по фамилиям создателей (Aho, Weinberger, Kernighan). Незаменим там, где нужно вытащить, отфильтровать или пересчитать данные из таблиц, логов и вывода других утилит. В отличие от grep (ищет строки) и sed (правит текст потоком), AWK мыслит записями и полями. Каждая строка — это запись, разбитая на колонки. Это превращае

8👍5🔥2

3 Jul 2026, 07:27 UTC≈1,210 views7 reactionsread 8 August 2026
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💸 Как ДИТу говорить с бизнесом на языке денег TCO, RTO, RPO, SLA, MTTR сами по себе ничего не объясняют. Как обосновать бюджет на инфраструктуру через влияние на продажи, логистику, клиентский сервис и другие критичные процессы. Как перевести ИТ-метрики в деньги, узнать цену простоя, какие риски и последствия допустимы и почему бездействие тоже имеет свою цену. 😎 Смотрите в выпуске по ссылке на любой удобной платф

👍32🔥2

Showing the 12 most recent of 20 posts we hold for @Cortel_cloud. 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.

Citation-graph rank

Citation-graph rank — 208,521 of 1,176,251entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 1 registered channel — 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.

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.

“CORTEL” (@Cortel_cloud), 4,044 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/Cortel_cloud.

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.