Telegram RegisterThe public register of Telegram

Channel

devdigest // azure

@azure_digest

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

1,035subscribers

+1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001165487727
TypeChannel
Username@azure_digest
Created3 November 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held3
Confirmed unchanged3 times, most recently 12 August 2026
On Telegramt.me/azure_digest

Growth

1,0341,0351,034.56 Aug 2026, 12:24 — 1,034 subscribers6 Aug 2026, 13:03 — 1,034 subscribers6 Aug 2026, 19:30 — 1,035 subscribers6 Aug 2026, 12:246 Aug 2026, 19:30
3 measurements taken within a single day, net +1. 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 1,034–1,035 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Aug 2026, 19:301,035+1
6 Aug 2026, 13:031,034no change
6 Aug 2026, 12:241,034first reading

Engagement

20 posts held, back to 11 March 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
30.6%
avg views ÷ 1,035 subscribers
Avg views / post
317
4 posts measured
Reaction rate
0.994%
reactions ÷ views · ER floor
Posts in window
5
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. It is computed over the 3 of 4 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 August 2026
Posts held20 (11 March 20262 August 2026)
Views total1,268
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 13:03 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.

Reaction mix

72 reactions across 18 posts, in 3 distinct kinds. The most used accounts for 56.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4156.9%
👍2838.9%
🎉34.17%

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 18 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 72reactions 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 11 March 2026 to 2 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 19 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @azure_digest. 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 20 most recent posts we hold for this entry, published 11 March 2026 to 2 August 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.

Recent posts

2 Aug 2026, 08:54 UTC169 views3 reactionsread 6 August 2026

⚡️ Azure сам проверит безопасность ваших Linux-машин по стандарту CIS Microsoft добавила в Azure встроенную проверку Linux-серверов на соответствие стандартам безопасности CIS Benchmark — функция уже доступна всем. Она работает в Azure и Azure Arc через Azure Machine Configuration и постоянно сверяет настройки Linux-систем с признанными во всём мире требованиями CIS. Azure теперь сам находит слабые места в конфигур

2👍1

31 Jul 2026, 07:16 UTC441 views5 reactionsread 6 August 2026

⚡️ AKS без гипервизора: Microsoft запускает Kubernetes прямо на «голом железе» Microsoft развернула Azure Kubernetes Service напрямую на физическом оборудовании — без слоя гипервизора. Новый вариант объединяет платформу Azure Local Small Form Factor и AKS Arc на Linux и автоматически подключается к Azure Arc для централизованного управления. Отказ от виртуализации отдаёт все ресурсы под рабочие нагрузки, сохраняя п

3👍2

24 Jul 2026, 08:41 UTC363 viewsread 6 August 2026

⚡️ Databricks переведёт бизнес на Azure и интегрирует Genie с экосистемой Microsoft Microsoft и Databricks продлили стратегическое партнёрство до 2030-х и углубили интеграцию облачной инфраструктуры и ИИ, чтобы помочь компаниям строить ИИ на основе собственных данных и бизнес-процессов. Databricks переведёт свои ключевые операции на Azure Databricks и расширит использование Arm-инфраструктуры Azure Cobalt, включая

22 Jul 2026, 12:09 UTC295 views1 reactionsread 6 August 2026

⚡️ Mistral AI и Microsoft заключили многомиллиардное соглашение по развитию Azure в Европе Французский стартап Mistral AI — один из ведущих европейских разработчиков ИИ, известный своими большими языковыми моделями с открытыми весами и считающийся главной альтернативой OpenAI на континенте, — объявил о многомиллиардном партнёрстве с Microsoft по расширению вычислительной инфраструктуры в Европе (конкретная сумма не

1

13 Jul 2026, 12:57 UTC547 views3 reactionsread 6 August 2026

⚡️ Brain — ИИ-система, которая оповещает о сбоях в Azure Microsoft представила Brain — внутреннюю систему на базе ИИ, которая непрерывно следит за состоянием Azure и всё чаще действует сама: объявляет о сбоях, останавливает проблемные обновления и уведомляет затронутых клиентов. Как рассказал технический директор Azure Марк Руссинович, Brain строит «цифрового двойника» облака в реальном времени и оценивает здоровье

2👍1

12 Jul 2026, 11:32 UTC330 views3 reactionsread 6 August 2026

⚡️ Canonical запустила управляемый сервис Kubeflow на Microsoft Azure Canonical представила Managed Kubeflow на Microsoft Azure — полностью управляемую платформу для оркестрации ML-задач, которая разворачивается из Azure Marketplace менее чем за 30 минут. Сервис работает целиком внутри облачного периметра клиента: данные не покидают его тенант, а доступ контролируется через Microsoft Entra ID и ролевые политики. Ком

3

29 Jun 2026, 13:43 UTC455 views9 reactionsread 6 August 2026

⚡️ Levi’s перевела глобальную ИТ-инфраструктуру в Azure Levi Strauss & Co., создавшая одни из самых узнаваемых джинсов в мире, завершила перенос глобальной ИТ-инфраструктуры в Microsoft Azure, объединив девять ERP-систем в единую облачную платформу. По данным компании, миграция позволила вдвое сократить задержки, увеличить производительность дисковых подсистем на 60% и сократить сроки вывода из эксплуатации собств

4👍4🎉1

12 Jun 2026, 12:34 UTC737 views6 reactionsread 6 August 2026

🎥 Build 2026: Microsoft представила крупнейший пакет обновлений Azure На конференции Build 2026 Microsoft анонсировала масштабный набор обновлений для Azure, охватывающий облачную инфраструктуру, платформы данных, инструменты разработки и сервисы искусственного интеллекта. Среди ключевых новинок — ARM-виртуальные машины Cobalt 200, Azure Linux 4, база данных HorizonDB, новые возможности Azure AI Foundry и инструмен

4👍2

3 Jun 2026, 08:14 UTC334 views5 reactions1 Starread 6 August 2026
Forwarded from @andreygubskiyPhoto

🟥 Что показала Microsoft в первый день Build 2026 Вчера прошел первый день главного события для разработчиков — конференция Build 2026. Основные анонсы ожидаемо были посвящены искусственному интеллекту, агентам и смежным технологиям. Уже сейчас очевидно, что Microsoft строит не просто набор AI-инструментов, а полноценную экосистему: от моделей и агентов до баз данных, облачной инфраструктуры, чипов и устройств. По

👍32

30 May 2026, 13:11 UTC336 views5 reactionsread 6 August 2026
Forwarded from @dncuugPhoto

🚀 Microsoft Build 2026 стартует уже 2 июня Последние несколько лет именно на Build Microsoft показывает, как меняются инструменты разработки, облачные платформы и AI-сервисы. Многие анонсы, которые затем становятся индустриальным стандартом, впервые появляются именно здесь. Что ожидаем на Build 2026: ✔️Новые анонсы от Microsoft и GitHub в области AI и разработки ПО. ✔️ Keynote Сатьи Наделлы с демонстрацией того, ч

👍32

30 May 2026, 05:40 UTC244 views3 reactionsread 6 August 2026
Forwarded from @andreygubskiy

Друзья, //devdigest на несколько дней уходит на техническое обслуживание. В течение выходных часть ссылок в телеграм-каналах может быть недоступна. На следующей неделе проект вернется в обычный рабочий режим. Благодарю за понимание! 🚀 Подписаться

2👍1

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

Citation-graph rank

Citation-graph rank — 794,575 of 1,336,469entries 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 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.

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

“devdigest // azure” (@azure_digest), 1,035 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/azure_digest.

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.