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Channel

Группа Астра

@astragroup

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

9,468subscribers

+214 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-1001015950730
TypeChannel
Username@astragroup
Description«Группа Астра» — один из лидеров российского рынка информационных технологий в области разработки ПО и средств защиты информации. Сайт: https://astra.ru Наш канал в MAX: https://max.ru/gruppa_astra VK: https://vk.com/gruppa_astra
CreatedBetween 1 December 2015 and 31 March 2016 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held24
Confirmed unchanged2 times, most recently 11 November 2026
On Telegramt.me/astragroup

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 the other topics.

Growth

9,2459,4769,360.56 August 2026 — 9,254 subscribers6 August 2026 — 9,253 subscribers9 August 2026 — 9,249 subscribers12 August 2026 — 9,245 subscribers16 August 2026 — 9,253 subscribers19 August 2026 — 9,255 subscribers23 August 2026 — 9,258 subscribers25 August 2026 — 9,271 subscribers28 August 2026 — 9,288 subscribers1 September 2026 — 9,290 subscribers10 September 2026 — 9,316 subscribers14 September 2026 — 9,344 subscribers19 September 2026 — 9,398 subscribers28 September 2026 — 9,409 subscribers5 October 2026 — 9,422 subscribers12 October 2026 — 9,431 subscribers18 October 2026 — 9,439 subscribers21 October 2026 — 9,450 subscribers24 October 2026 — 9,453 subscribers27 October 2026 — 9,461 subscribers29 October 2026 — 9,464 subscribers1 November 2026 — 9,476 subscribers5 November 2026 — 9,475 subscribers8 November 2026 — 9,468 subscribers9,4686 August 20268 November 2026
24 measurements spanning 94 days, net +214. 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 9,210–9,511 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
8 Nov 2026, 07:189,468-7
5 Nov 2026, 00:489,475-1
1 Nov 2026, 21:409,476+12
29 Oct 2026, 23:379,464+3
27 Oct 2026, 09:409,461+8
24 Oct 2026, 10:089,453+3
21 Oct 2026, 18:099,450+11
18 Oct 2026, 03:579,439+8
12 Oct 2026, 01:419,431+9
5 Oct 2026, 19:569,422+13
28 Sept 2026, 08:399,409+11
19 Sept 2026, 01:589,398+54
14 Sept 2026, 07:379,344+28
10 Sept 2026, 09:559,316+26
1 Sept 2026, 04:169,290+2
28 Aug 2026, 22:259,288+17
25 Aug 2026, 15:429,271+13
23 Aug 2026, 00:159,258+3
19 Aug 2026, 07:059,255+2
16 Aug 2026, 08:229,253first reading

Engagement

85 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 52 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
15.7%
avg views ÷ 9,468 subscribers
Avg views / post
1,490
34 posts measured
Reaction rate
1.36%
reactions ÷ views · ER floor
Posts in window
35
of 85 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 12 November 2026
Posts held85 (29 July 2026 – 12 November 2026)
Views total50,678
Reactions total688
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 23:51 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
≈2,420
Videos
≈107
Links
≈1,600

Lifetime counters from Telegram’s own channel header, read 12 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
37m 23s
Average length
4m 40s

Measured directly from 8 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

1,674 reactions across 81 posts, in 31 distinct kinds. The most used accounts for 40.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥67040.0%
❤32319.3%
👍17110.2%
❤‍🔥1257.47%
🤩754.48%
⚡412.45%
👏352.09%
✍331.97%
🤓261.55%
🏆201.19%
💯191.14%
🤝171.02%
👌160.956%
🎉110.657%
🫡100.597%
🆒90.538%
👀90.538%
😍90.538%
🦄90.538%
👨‍💻70.418%
11 further kinds392.33%

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 82 of the 85 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 1,728 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 85 most recent posts we hold, published 29 July 2026 to 12 November 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

Telegram’s own ‘edited’ marker: 6 of 35 posts held from the last 30 days (17.1%) 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).

12 Nov 2026, 14:00 UTC738 views22 reactionsread 12 November 2026
Photo

«Боцман» покоряет алмазные моря: АЛРОСА переводит свои системы на отечественную платформу 😮 Алмазный гигант начал внедрение платформы контейнеризации «Боцман» в свою инфраструктуру. Планируется перенести около 30 информационных систем с Open Source-решений. Миграция каждой системы индивидуальна и требует предварительного тестирования. Ожидается, что если перенести типовые интеграции на уровень платформы контейнериз…

❤‍🔥10🔥5🆒5🎉1👍1

12 Nov 2026, 10:35 UTC≈1,030 views10 reactionsread 12 November 2026
Photo

Скоро новогодние каникулы! А потом пора подумать об экзаменах 😄 С 2027 года все пункты проведения экзаменов (ППЭ) переходят на отечественное ПО. Astra Linux — одна из трёх российских ОС, на которых можно сдавать ЕГЭ: система официально совместима с ПО «АРМ ГИА-11 в ППЭ» 😎 ✔️ Безопасность. Сертифицированные средства защиты (ФСТЭК, ФСБ) исключают риск утечки экзаменационных материалов. ✔️ Экономия. Образ ОС, скрипты…

👍6🔥3❤1

12 Nov 2026, 08:00 UTC≈1,040 views15 reactionsread 12 November 2026
Photo

Обновление Astra Automation 2.1-upd1: ИИ понимает задачу, платформа даёт результат В Astra Automation 2.1-upd1 добавили MCP-сервер. Через него корпоративные ИИ-агенты могут выполнять задачи автоматизации в вашей инфраструктуре. Прямого доступа у ИИ-агента к системам при этом нет. Платформа работает как доверенный слой: действия идут по проверенным сценариям, с разграничением прав, контролем параметров и аудитом. С…

🔥6❤4🦄3👍2

11 Nov 2026, 14:30 UTC≈1,140 views13 reactionsread 12 November 2026
Photo

«Группа Астра» сообщает об актуальном статусе работ по устранению уязвимости CVE-2026-98432 в ядре ОС Linux Наша команда по‑прежнему держит ситуацию на постоянном контроле и реализует все требуемые меры для обеспечения безопасности и защиты интересов клиентов. На данный момент: Для релиза 1.7.11 выпущен hotfix, подробности доступны в БЮЛЛЕТЕНЕ № 2026-1109SE17HF Мы будем оперативно информировать о выпуске обновлений…

👍11🆒2

11 Nov 2026, 13:15 UTC≈1,190 views21 reactionsread 12 November 2026
Photo

🚀 «Группа Астра» на российско-алжирском форуме «Цифровой курс» Вещаем из Африки 😉 С 11 по 13 ноября делегация «Группы Астра» участвует в российско-алжирском форуме «Цифровой курс», посвящённом цифровизации страны. Там собрались госструктуры, заказчики из нефтегаза, транспорта и телекома и местные ИТ-компании. В составе делегации — Александр Гутин, директор по маркетингу, Антон Бугрецов, директор по развитию междун…

❤8🔥6👍4🤓2❤‍🔥1

11 Nov 2026, 10:04 UTC≈1,180 views51 reactionsread 12 November 2026
Video message

Video message, posted without a caption

❤‍🔥21🔥18🤩6🤝4👏2

11 Nov 2026, 07:03 UTC≈1,300 views22 reactionsread 12 November 2026
Photo

TROK в суперкомпьютере МГУ 🟨 «Байкал Электроникс», «Спинтроника» и «Группа Астра» объединились, чтобы создать надежное решение для хранения данных МГУ имени Ломоносова. Так появилась система хранения для ПАК «Исток», в основе которой лежит SDS TROK. Состав ПАК: ⏺6 физических узлов хранения на серверах «Спинтроники» с процессорами Baikal-S; ⏺лицензия на 410 ТБ; ⏺сеть синхронизации и доступа на 25 Гбит/с; ⏺NFS-тома …

🔥14❤4✍3👍1

10 Nov 2026, 17:12 UTC≈1,170 views21 reactionsread 12 November 2026
Photo

ALD Pro снова №1 в рейтинге российских решений для управления службами каталогов Аналитики ведущего отраслевого издания CNews сравнили российские решения для управления службами каталогов: оценили функциональность, возможности масштабирования и миграции, инструменты информационной безопасности, интеграции с внешними системами и поддержку продукта. За выбором службы каталога — задача сложнее, чем просто заменить Mic…

🔥10❤5🤩5👍1

10 Nov 2026, 14:32 UTC≈1,280 views13 reactionsread 12 November 2026
Photo

Серверы и софт в одной коробке: ПАК XPlatform Infrastructure 😮 Серверы отдельно, софт отдельно, а потом ещё проверять, как они работают вместе? Есть вариант проще. «Группа Астра» и OpenYard представили ПАК XPlatform Infrastructure: готовое решение на серверах OpenYard RS102 и RS202 с Astra Linux и DCImanager. На нём можно развернуть: 🔹 Частное облако 🔹 «1С», BI- или PLM-систему 🔹 Службу каталога, мониторинг, резер…

🔥8👍3🦄2

10 Nov 2026, 08:25 UTC≈1,350 views11 reactionsread 12 November 2026
Photo

Вебинар перенесли! А вот данные — нет. Они всё так же остаются внутри вашего контура 🫡 17 ноября в 11:00 МСК приглашаем на интерактивный онлайн-ивент «Агенты против выгорания: быстрая и безопасная разработка». Данные не покидают компанию. Весь ИИ-стек собираем внутри вашего контура, без внешних сервисов. Все как было ранее — 2 демо, 2 продукта, 1 сквозной сценарий: ✅ Как собрать полный стек ИИ-решений в закрытом к…

❤4🔥4🤝2👍1

9 Nov 2026, 13:27 UTC≈1,570 views22 reactionsread 12 November 2026
Photo

Суверенная связка OpenIDE и Астра ИИ [Код]: полет отличный 😄 «Группа Астра» интегрировала OpenIDE и агентную систему «Астра ИИ Код». ИИ-напарника можно вызвать из IDE через Meta Harness. Он вышел в релизе OpenIDE Pro 2026.2.3. Работа идёт по принципу SDD, то есть разработки на основе спецификаций: 🔹 Инженер и агент уточняют задачу и фиксируют спецификацию 🔹 Агент составляет план и выполняет его по шагам 🔹 Разработ…

❤9🔥6🤝6👍1

9 Nov 2026, 08:00 UTC≈1,410 views18 reactionsread 12 November 2026
Photo

Давно не виделись! Хотим рассказать, что нового в Astra Linux 😉 За последнее время в Astra Linux накопилось немало изменений. Как в самой ОС, так и в инструментах, которые упрощают работу с ней. 24 ноября на вебинаре расскажем о главном! ✅ Впервые в ОС: сервер сканирования, Центр обновлений и Flatpak ✅ Знакомое, но улучшенное: СКПУ, RDP и кое-что ещё ✅ Репозитории и как искать в них нужное с помощью Навигатора ✅ Ск…

👍8🔥5👏4🤨1

Showing the 12 most recent of 85 posts we hold for @astragroup. 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.

Mentions

Named by 10 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.

Ростелеком
@rostelecomofficial · 23,375
Telegram ranks this channel #21 of 93 here — alongside 92 others — read 18 September 2026
Яндекс 360
@yandex360blog · 45,408
Telegram ranks this channel #35 of 97 here — alongside 96 others — read 27 August 2026
Kaspersky
@kasperskylab_ru · 28,871
Telegram ranks this channel #44 of 96 here — alongside 95 others — read 9 September 2026
Максим Горшенин | imaxai
@imaxairu · 27,444
Telegram ranks this channel #45 of 93 here — alongside 92 others — read 10 September 2026
Yandex Cloud
@yandexcloudnews · 23,943
Telegram ranks this channel #78 of 97 here — alongside 96 others — read 22 September 2026

This channel appears in 5 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 8 November 2026 — this entry's latest reading, not the date you are reading this.

“Группа Астра” (@astragroup), 9,468 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/astragroup.

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.