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 September 2019 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Job listings — 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 46% 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
59 measurements spanning 95 days, net -15. 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 11,433–11,483 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)
Subscribers
Change
9 Nov 2026, 21:12
11,451
+3
8 Nov 2026, 13:49
11,448
+4
7 Nov 2026, 11:06
11,444
+4
4 Nov 2026, 10:27
11,440
+1
3 Nov 2026, 08:06
11,439
-2
2 Nov 2026, 09:17
11,441
+2
1 Nov 2026, 06:18
11,439
-4
31 Oct 2026, 08:28
11,443
-2
30 Oct 2026, 08:57
11,445
-1
28 Oct 2026, 10:19
11,446
-2
27 Oct 2026, 08:58
11,448
-7
25 Oct 2026, 02:56
11,455
-2
24 Oct 2026, 02:54
11,457
-4
23 Oct 2026, 05:01
11,461
-1
22 Oct 2026, 03:15
11,462
-1
20 Oct 2026, 19:55
11,463
-2
19 Oct 2026, 20:40
11,465
+4
18 Oct 2026, 18:18
11,461
+3
17 Oct 2026, 17:16
11,458
+2
16 Oct 2026, 15:37
11,456
first reading
Engagement
27 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 61 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
44.4%
avg views ÷ 11,451 subscribers
Avg views / post
5,090
2 posts measured
Reaction rate
0.806%
reactions ÷ views · ER floor
Posts in window
2
of 27 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 1 November 2026
Posts held
27 (6 January 2026 – 1 November 2026)
Views total
10,170
Reactions total
82
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 09:17 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
16
Videos
5
Links
230
Lifetime counters from Telegram’s own channel header, read 11 November 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
863 reactions across 27 posts, in 9 distinct kinds. The most used accounts for 62.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
543
62.9%
👍
156
18.1%
🔥
61
7.07%
🤯
61
7.07%
👏
15
1.74%
😁
13
1.51%
🤩
6
0.695%
😱
5
0.579%
🎉
3
0.348%
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 27 of the 27 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 863 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 27 most recent posts we hold, published 6 January 2026 to 1 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.
Telegram Stars
Stars received
4
across the posts below
Posts paid on
4
of 27 we hold a reading for · 15%
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 27 most recent posts we hold for this entry, published 6 January 2026 to 1 November 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
Telegram’s own ‘edited’ marker: 0 of 2 posts held from the last 30 days (0%) 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).
🚀 چطور بدون تماشای ساعتها ویدیو، معماری سیستمها و مهارتهای شغلی رو یاد بگیریم؟
دیدن ماکاینترویوهای System Design، خوندن کتابهای ۳۰۰ صفحهای یا شرکت در کورسهای طولانی، وقت و انرژی خیلی زیادی میبره.
به همین خاطر، ما روی پروژه متنباز LearnHub اومدیم خلاصهی بهترین منابع دنیا رو آماده کردیم و با کمک هوش مصنوعی، اونها رو تبدیل کردیم به پادکستهای صوتی فارسی با لحن مناظرههای فنی و جذاب. 🎧
این آرشیو الان شامل س…
🎉 بالاخره از یه شرکت خارجی مصاحبه گرفتم!
این عکس فقط یه اسکرینشات نیست، نتیجه یه استراتژی درسته. برای یه پوزیشن Full Stack Developer:
۱. با قابلیت Networking دونت اپلای از موقعیت باخبر شدم. 🤝
۲. با Tailor Resume رزومهام رو دقیقا برای همین آگهی آماده کردم. 📝
۳. با Interview Prep برای سوالات مصاحبه آماده شدم. 🎯
نتیجه؟ مرحله اول رو پاس کردم و الان دعوتنامه مرحله دوم (همین عکس) برام اومده.
فلسفه دونت اپلای اینه که …
🌟 فقط اپلای نکن؛ بجاش دیده شو!
🤝 قابلیت جدید «Networking» به دونتاپلای اضافه شد.
حالا میتونی شرکتهایی که با پروفایلت همخونی دارن رو ببینی و مستقیم با کارمندهاشون در لینکدین ارتباط بگیری — بجای اینکه فقط یه cold applicant باشی.
با یک کلیک، جستجوی آمادهی:
🔹 پستهای اخیر کارمندان شرکتهای هدفت
🔹 لیست افراد شاغل در شرکتهای هدف (برای آشنایی و درخواست referral)
👇 ببین در عمل چطوریه: یه Associate Director از یه شرکت…
دوستان کارفرما و کارجو،
بعد از جنگ اخیر، تصمیم گرفتیم یک ابزار ساده و کاملاً رایگان برای ارتباط کارفرما و کارجو ایجاد کنیم.
اسمش هست ParsOps Talent Bot
این ربات کمک میکنه:
🔹 کارجو رزومه خودش رو ثبت کنه
🔹 کارفرما موقعیت شغلی موردنظرش رو ثبت کنه
🔹 موقعیتهای شغلی مرتبط برای کارجوها ارسال بشه
🔹 فقط در صورت تأیید کارجو، رزومه برای کارفرما ارسال بشه
و مهمتر از همه:
کاملاً رایگان است و هیچ هزینهای از کارفرما یا کا…
سلام دوستان،
کسی از دوستان اقامت گرجستان، عمان، دبی یا مالزی رو داره؟
برای رجیستر کردن یک اپ موبایل، نیاز دارم آدرس و مختصات محل اقامت فرد رو داشته باشم. طبیعتاً اطلاعات شخصی و همچنین درآمد احتمالی ایشون از این اپ کاملاً محفوظ خواهد بود.
اگر کسی از دوستان این شرایط رو داره، ممنون میشم به من پیام بده. 🙏
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…
❤6🔥4👍2
Signed Ahmadali Bagheri
Showing the 12 most recent of 27 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.
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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“DevOps” (@DevOpsHobbies), 11,451 subscribers as measured 9 November 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.