The biggest persian devops community
Admin:
@ahmadalibagheri
DevOps:
Check our roadmap
https://github.com/ahmadalibagheri/devops-roadmap
آدرس گروه
https://t.me/joinchat/Vf4iQf8U-fkI4cYZ
Created
Between 1 May 2019 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
8 measurements spanning 6 days, net -2. 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 11,463–11,473 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 16:24
11,464
-2
11 Aug 2026, 19:07
11,466
-3
10 Aug 2026, 17:27
11,469
-2
9 Aug 2026, 15:31
11,471
-1
8 Aug 2026, 16:08
11,472
+1
7 Aug 2026, 14:03
11,471
+5
6 Aug 2026, 17:00
11,466
no change
6 Aug 2026, 12:17
11,466
first reading
Engagement
22 posts held, back to 6 January 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 16 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
32.1%
avg views ÷ 11,464 subscribers
Avg views / post
3,680
9 posts measured
Reaction rate
0.477%
reactions ÷ views · ER floor
Posts in window
9
of 22 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
Window
Rolling 30 days · latest post in window 10 August 2026
Posts held
22 (6 January 2026 – 10 August 2026)
Views total
33,100
Reactions total
158
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Aug 2026, 04:06 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
13
Videos
5
Links
227
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. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
6m 43s
Average length
2m 14s
Measured directly from 3 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
705 reactions across 22 posts, in 8 distinct kinds. The most used accounts for 58.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
412
58.4%
👍
141
20.0%
🤯
61
8.65%
🔥
59
8.37%
😁
13
1.84%
👏
9
1.28%
🤩
6
0.851%
😱
4
0.567%
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 22 of the 22 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 705reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 6 January 2026 to 10 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
3
across the posts below
Posts paid on
3
of 22 we hold a reading for · 14%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @DevOpsHobbies. 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 22 most recent posts we hold for this entry, published 6 January 2026 to 10 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.
زودتر از بقیهی کارجوها توی دنیا، برای موقعیت شغلی مدنظرت اپلای کن!
⚡️ قابلیت ارسال سریع آگهیهای جدید مرتبط با رزومهات از طریق ربات تلگرام، اضافه شد.
اگه جدی دنبال کار هستی، با یه کلیک از اینجا فعالش کن:
https://dontapply.club/settings/notifications
میتونی اول فعالش کنی، اگه آگهیای فرستاد که دوست داشتی ببینیش، کافیه یک هفته trial فعال کنی یا اشتراک دونتاپلای تهیه کنی.
📢 روزانه آگهیهای جدید ویزا اسپانسر و ریمو…
🚨 ۵ اشتباه پنهان که مانیتورینگ شما را بیاثر میکنند
تصور کنید همه نمودارها سبز هستند و هیچ هشدار مهمی هم دریافت نکردهاید؛ اما کاربران همچنان با کندی و خطا روبهرو هستند.
این اتفاق معمولاً یعنی داده دارید، اما مانیتورینگ شما تصویر کاملی از وضعیت واقعی سرویس ارائه نمیدهد.
پنج اشتباه رایج میتوانند مشکلات مهم را از دید شما پنهان کنند:
۱. اعتماد به میانگینها و نادیدهگرفتن p95 و p99
۲. ساخت هشدار برای هر نوسان و …
اصطلاحات مانیتورینگ که هر برنامهنویس و DevOps باید بداند
فرض کنید میانگین زمان پاسخ API شما فقط ۲۰۰ میلیثانیه است؛ اما همچنان بعضی کاربران از کندی سرویس شکایت دارند.
مشکل کجاست؟
ممکن است Average وضعیت خوبی نشان دهد، اما p95 یا p99 مشخص کند بخشی از کاربران چند ثانیه منتظر پاسخ میمانند.
در محیطهای حرفهای، برای بررسی دقیق وضعیت سرویس از مفاهیمی مثل اینها استفاده میشود:
۱. p95 و p99 برای تشخیص کندی واقعی
۲. E…
Metric، Log و Trace چه فرقی با هم دارند؟
فرض کنید کاربران گزارش میدهند که فرایند پرداخت کند شده است:
۱. متریکها نشان میدهند چه اتفاقی افتاده
۲. لاگها کمک میکنند بفهمیم چرا اتفاق افتاده
۳. تریسها مشخص میکنند مشکل دقیقاً در کدام سرویس و درخواست ایجاد شده است
اما آیا همیشه به هر سه نیاز داریم؟ هرکدام چه اطلاعاتی جمعآوری میکنند و چطور در کنار هم به پیدا کردن سریعتر مشکلات کمک میکنند؟
در مقاله جدید Watchlog…
ریجکت شدی و نمیدونی چرا؟ آفر گرفتی و نمیدونی چطور مذاکره کنی؟ یه مهارت کم داری و نمیدونی از کجا شروع کنی؟ فیت هستی ولی چون آگهی نگفته ویزا اسپانسر میشیم بیخیال میشی؟
خب DontApply برای تمام این لحظهها یه استراتژی داره.
🎥 توی این ویدیو نشون میدم این ابزار فقط برای اپلای نیست — برای کل مسیر شغلیابیه.
📢 روزانه آگهیهای جدید ویزا اسپانسر و ریموت رو به تفکیک فیلد، توی این گروه میذاریم:
👉 @DontApply
🎁 کد تخفیف اف…
🚨 The biggest bottleneck in AI coding isn't the model. It's context.
Every new AI session spends thousands of tokens relearning your codebase. And once you're in Claude Code, Codex, or another coding agent, you're locked into that provider, you can't switch models or providers without losing context.
Sema solves this by indexing your codebase once, locally, and sharing that context across Claude Code, Codex, OpenCo…
🚀 دوره جامع و پروژهمحور Full-Stack AI Agent منتشر شد.
سلام دوستان، امیدوارم حالتون خوب باشه. 🌱
مدتهاست که دنیای هوش مصنوعی از مرحله چتهای ساده یا پرامپتنویسی معمولی فراتر رفته. امروزه ارزش واقعی زمانی خلق میشه که بتونیم پروژههای هوشمند، مستقل و خودمختار (Autonomous Agents) بسازیم که فرآیندهای پیچیده رو هندل کنن، تصمیم بگیرن و به ابزارهای بیرونی متصل بشن.
اما چالش اصلی اینجاست: ساختن یک محصول واقعی مبتنی بر AI…
حمایتتون جواب داد! 🙌
طی همین چند روز اول، با همراهی شما، تونستیم به ۸۷ کاربر کمک کنیم که آگهیهای مناسب خودشون رو پیدا کنن و اپلای کنن. این تازه شروع راهه.
تا امروز:
✅ ۲۶۰ نفر به ما اعتماد کردن و رزومهشون رو آپلود کردن.
✅ ۸۷ کارجو، شغلهای منطبق با رزومهشون رو پیدا و به لیست target هاشون اضافه کردن.
✅ ۲۸ نفر فرصت رو غنیمت دونستن و با دونتاپلای، اقدام به apply کردن.
✅ ۳۲۳ شرکت با آگهیهای ویزا اسپانسرشیپ، توی لی…
در طول سالهای فعالیت در حوزه DevOps و Cloud، با تیمهای زیادی صحبت کردهایم که چالشهای مشابهی داشتهاند؛ از استقرار و CI/CD گرفته تا مانیتورینگ، امنیت و مقیاسپذیری زیرساخت.
به همین دلیل تصمیم گرفتیم در ParsOps یک برنامه محدود برای بررسی زیرساخت و فرآیندهای DevOps برگزار کنیم.
در این برنامه، ۸ شرکت یا استارتاپ منتخب در چند جلسه آنلاین با تیم ParsOps وضعیت فعلی زیرساخت خود را بررسی کرده و برای بهبود آن یک نقشه راه ع…
امنیت یکی از بایدهای تمام های پروژه ها هست
و امنیت پروژه فقط بعد از Deploy کردن، یک باگ اساسی داره
دیر متوجه مشکلات امنیتی میشید
بعضی مشکلات امنیتی میتونن یک استارتاپ رو با خاک یکسان کنن
یکی از مهمترین مفاهیم DevSecOps، استفاده از SAST (Static Application Security Testing) هست
SAST بدون اینکه برنامه اجرا بشه، سورسکد، Bytecode یا Binary رو بررسی میکنه و آسیبپذیریهای امنیتی رو قبل از رسیدن به Production پیدا…
# 🎬 پلیلیستهای آموزشی DevOps Hobbies
اگر به یادگیری DevOps، Cloud، Linux، Kubernetes، Docker، CI/CD، Terraform، Ansible و سایر تکنولوژیهای مرتبط علاقهمند هستید، تمام آموزشهای رایگان ما را از طریق کانال یوتیوب دنبال کنید.
📺 YouTube Channel
https://youtube.com/channel/UCve--OvdZ5YROq4BEKyedCw/
❤️ اگر آموزشها براتون مفید بود، لطفاً کانال رو Subscribe کنید و با دوستانتون به اشتراک بذارید.
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## 🚀 DevOps
🔹[De…
❤26👍3
Signed Ahmadali Bagheri
Showing the 12 most recent of 22 posts we hold for @DevOpsHobbies. 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 — 162,994 of 1,160,990entries 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.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“DevOps” (@DevOpsHobbies), 11,464 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/DevOpsHobbies.
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.