You Don't Have a GIL Problem — You Have a CPU Problem This article documents a real production investigation into latency variance in Python-based microservices running on Kubernetes, revealing how CPU throttling amplifies GIL contention into unpredictable response time spikes. https://medium.com/@prashant_pathak/you-dont-have-a-gil-problem-you-have-a-cpu-problem-24deeadfea4a

Channel
DevOps&SRE Library
@devopslibrary
On this record: Growth · Engagement · What this channel posts · Advertising · Posts · Citations · Cite this entry
19,708subscribers
+38 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001329220738 |
|---|---|
| Type | Channel |
| Username | @devopslibrary |
| Description | Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3 |
| Created | 21 April 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/devopslibrary |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 07:54 | 19,708 | +9 |
| 11 Aug 2026, 05:58 | 19,699 | +2 |
| 10 Aug 2026, 08:11 | 19,697 | +18 |
| 8 Aug 2026, 03:01 | 19,679 | +5 |
| 7 Aug 2026, 03:06 | 19,674 | +4 |
| 6 Aug 2026, 04:00 | 19,670 | no change |
| 6 Aug 2026, 03:53 | 19,670 | first reading |
Engagement
39 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 17 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 11.8%
- avg views ÷ 19,708 subscribers
- Avg views / post
- 2,330
- 39 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 39
- of 39 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.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 39 (29 July 2026 – 12 August 2026) |
| Views total | 91,051 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 23:38 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
- ≈435
- Videos
- ≈2
- Links
- ≈5,430
Lifetime counters from Telegram’s own channel header, read 12 August 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
- 1m 59s
- Average length
- 1m 59s
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.
Advertising
- Ad load
- 17.9%
- 7 of 39 posts carry an ad marker
- Regulatory tokens
- 7
- posts carrying an erid · 7 distinct tokens
- Median views · ads
- 2,540
- over 7 measured posts
- Median views · rest
- 2,480
- over 32 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
| erid | Posts | First seen | Last seen |
|---|---|---|---|
| 2VtzquZctk3 | 1 | 10 August 2026 | 10 August 2026 |
| 2VtzqvHEFpX | 1 | 11 August 2026 | 11 August 2026 |
| 2VtzqvY8GGz | 1 | 29 July 2026 | 29 July 2026 |
| 2VtzqvfVsqU | 1 | 3 August 2026 | 3 August 2026 |
| 2Vtzqvqgags | 1 | 12 August 2026 | 12 August 2026 |
| 2VtzqvwpkP4 | 1 | 6 August 2026 | 6 August 2026 |
| 2VtzqxWDJ2v | 1 | 3 August 2026 | 3 August 2026 |
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 39 most recent posts we hold, published 29 July 2026 to 12 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Разработчики получают инфраструктуру самостоятельно. DevOps — перестают выполнять однотипные запросы. 18 августа на бесплатном онлайн-вебинаре Orion soft покажет, как работает новая IDP-функциональность HyperDrive: self-service, GitOps, политики безопасности и управление инфраструктурой через Model Context Protocol. Реклама. ООО "Орион", ИНН: ИНН 9704113582, erid: 2Vtzqvqgags
The feedback loops behind Kubernetes For the last decade, Kubernetes has been the backdrop to most of my work: operating clusters, helping build hosted Kubernetes, and writing Kubernetes operators. At PlanetScale, that now means running stateful systems like Postgres and MySQL in production. Kubernetes has many faces, but here I want to talk about one face only: why it is so good at running workloads at scale. Peop…
Client’s GKE Cluster Ate Their Entire VPC GKE pod IP exhaustion is one of the few failure modes that gives you no warning before it goes terminal. I recently stepped into a war room where a client’s primary scaling group had flatlined — workloads cordoned, deployments stuck in Pending, and the estimated cost of the stall nearing $15k per hour in lost transaction volume. The culprit wasn’t traffic. It was a /20 subne…
🔥 Приглашаем на бесплатный открытый вебинар курса «Observability: мониторинг, логирование, трассировка»: «Системы логирования: ELK, EFK или Graylog?» 🗓 Когда: 17 августа, 20:00 (мск) Логи — один из ключевых источников информации о состоянии системы. Но без правильно выбранного инструмента они превращаются в хаотичный поток данных, в котором сложно найти причину проблемы. На вебинаре сравним популярные системы центр…
What Does 4.4% GPU Utilization Actually Mean? A few weeks after publishing the 1M token/s post, I spent a weekend helping my good friend Milko Ilari set up vLLM on his shiny new DGX Spark with Gemma 4. My first in-person reaction was “It’s Champagne” (from the old days of PC Perspective) The Spark is a wild little machine — 128 GB of unified memory in a box you can hold with one hand, running the same Blackwell arch…
❗️Небольшое уточнение к предыдущему посту: в нём была указана некорректная ссылка на бота. Актуальная ссылка для получения доступа к эфиру: @shortcut_devops_bot
noisia Harmful workload generator for PostgreSQL. https://github.com/lesovsky/noisia
🔍Тестовое собеседование с Head of DevOps уже завтра 11 августа(уже завтра!) в 19:00 по мск приходи онлайн на открытое собеседование, чтобы посмотреть на настоящее интервью на Middle DevOps-разработчика. Как это будет: 📂 Александр Хренников, Head of DevOps в KTS с опытом 14+ лет, будет задавать реальные вопросы и задачи разработчику-добровольцу 📂 Александр будет комментировать каждый ответ респондента, чтобы дать по…
ZeroFS ZeroFS serves S3-compatible buckets as POSIX filesystems over NFS and 9P, and as raw block devices over NBD. All three servers run in a single userspace process. Data is compressed and encrypted before upload. https://github.com/Barre/ZeroFS
kubernetes-mcp-server A powerful and flexible Kubernetes Model Context Protocol (MCP) server implementation with support for Kubernetes and OpenShift. https://github.com/containers/kubernetes-mcp-server
davit A native macOS UI for Apple's container platform — think OrbStack/Docker Desktop, but for the Linux-containers-as-lightweight-VMs stack Apple ships for Apple silicon. https://github.com/wouterdebie/davit
Showing the 12 most recent of 39 posts we hold for @devopslibrary. 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.
Citation-graph rank
Citation-graph rank — 634,758 of 1,151,006entries 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 2 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.
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&SRE Library” (@devopslibrary), 19,708 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/devopslibrary.
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.