Пока было свободное время, решил затестить Renewal 🐈Подписаться #aws
👍6❤3🔥3

Channel
@dev_arman
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
1,192subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002151241279 |
|---|---|
| Type | Channel |
| Username | @dev_arman |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/dev_arman |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 09:13 | 1,192 | -1 |
| 7 Aug 2026, 23:18 | 1,193 | no change |
| 7 Aug 2026, 14:02 | 1,193 | first reading |
19 posts held, back to 17 June 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 1 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 19 (17 June 2026 – 6 August 2026) |
| Views total | 4,142 |
| Reactions total | 84 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 23:18 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.
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.
285 reactions across 19 posts, in 7 distinct kinds. The most used accounts for 47.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 134 | 47.0% | |
| ❤ | 75 | 26.3% | |
| 🔥 | 72 | 25.3% | |
| 👎 | 1 | 0.351% | |
| 😁 | 1 | 0.351% | |
| 🤔 | 1 | 0.351% | |
| 🤯 | 1 | 0.351% |
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 19 of the 19 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 285reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 17 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dev_arman. 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 19 most recent posts we hold for this entry, published 17 June 2026 to 6 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.
Пока было свободное время, решил затестить Renewal 🐈Подписаться #aws
👍6❤3🔥3
Issue #238 | 27 July 2026 ▪️ Amazon Corretto July 2026 Quarterly Updates ▪️ Amazon RDS for MySQL v9.7 in Amazon RDS Database Preview Environment ▪️ AWS automatic credit memo application preferences ▪️ AWS Wickr Data Retention Service feature ▪️ Bedrock AgentCore unified observability with traces and logs in a single log group ▪️ Bedrock Claude Opus 5 ▪️ CloudTrail selectively log network activity events by identi…
👍6❤2🔥1
Написал про Lambda MicroVMs и какие плюсы есть. 🐈Подписаться
❤5👍4🔥1
Посмотрите на выходных как можно скейлить postgres 🐈Подписаться
👍7🔥2❤1👎1🤔1
Похоже, стоимость использования топовых AI-моделей постепенно становится отдельной статьей расходов. Fable удалили из подписки за 20$. Но сейчас можно получить 100$ кредитов Один из разработчиков протестировал Claude Fable через API: задача заняла около 30 минут, было обработано примерно 200 тысяч токенов контекста, итоговая стоимость составила $33. При этом качество результата оценили как отличное. 🐈Подписаться
👍8❤2🔥1
коллеги, приходите на наш митап: https://t.me/DevOpsKaz/2089 в этот раз подобрали deep dive 🐈Подписаться
👍7❤1🔥1
Пригласили 11 сентября выступить в панельной сессии в Ташкенте. Так буду рад увидеться и попить чай) А пока, лето очень нагруженное - что радует 🐈Подписаться
🔥14❤4👍3
Claude выпустили три новых сертификата. Попробуем зарашить один за неделю. видел в линке уже многие сдают во всю. 🐈Подписаться
👍7❤4🔥2
KServe это open source платформа для запуска AI/ML inference прямо в Kubernetes. Поддерживает predictive и generative AI, масштабирование и разные ML-фреймворки. Грубо говоря, если модель уже обучили и теперь нужно нормально запустить ее в проде, масштабировать и не собирать все на костылях, посмотрите в сторону KServe. 🐈Подписаться
👍9❤1🔥1
Anthropic запустили Claude Certified Architect, поэтому ловите небольшую подборку для подготовки. Если готовитесь, не учите просто определения. Судя по материалам, лучше разбирать архитектурные сценарии и собирать руками небольших агентов. Все ссылки оставлю ниже: 1. Claude Certified Architect (CCA) Study Repository 2. Claude Certified Architect Exam Guide 3. Complete Claude Architect Study Guide 4. Official Claud…
❤5👍5🔥2😁1
13 августа снова собираем Cloud Native Community Day в Алматы вместе с @DevOpsKaz и @qosistan В прошлый раз мест оказалось мало, поэтому в этот раз решили расшириться до 100-150 человек. Будут DevOps, SRE, платформенные инженеры, архитекторы и просто ребята, которым интересен Cloud Native. Как обычно, без продаж и инфоцыганства. Поговорим про реальные кейсы, кластеры, архитектуру, observability и то, что у кого бол…
👍12❤6🔥3
Если давно хотели закрыть Oracle сертификацию, то сейчас хороший момент. Oracle University открыла доступ сразу к 11 бесплатным сертификациям. Есть направления по OCI, AI, Agentic AI, ERP, HCM, SCM, CX и EPM. например или вот Я бы рекомендовал начать с OCI Foundations, потом пройти OCI AI Foundations, а дальше уже выбирать трек под свою специализацию. Для тех, кто работает с облаками, вполне неплохая возможность бес…
👍5❤4🔥1
Showing the 12 most recent of 19 posts we hold for @dev_arman. 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.
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.
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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“arman.dev” (@dev_arman), 1,192 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/dev_arman.
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.