DevOps&SRE Library
Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3
نمایش بیشتر📈 تحلیل کانال تلگرام DevOps&SRE Library
کانال DevOps&SRE Library (@devopslibrary) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 19 395 مشترک است و جایگاه 6 952 را در دسته فناوری و برنامهها و رتبه 34 902 را در منطقه روسيا دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 19 395 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 10 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 154 و در ۲۴ ساعت گذشته برابر 7 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 15.22% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 7.12% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 2 949 بازدید دریافت میکند. در اولین روز معمولاً 1 380 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 1 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند kubernete, cluster, infrastructure, storage, configuration تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“Библиотека статей по теме DevOps и SRE.
Реклама: @ostinostin
Контент: @mxssl
РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 11 ژوئن, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
AI agents are ready to do infrastructure work, but they can't touch prod: - Agents can install packages, configure services, write scripts—autonomously - But one mistake on production and you're getting paged at 3 AM to fix it - So we limit agents to chatbots instead of letting them do the workhttps://github.com/aspectrr/fluid.sh
At Tines, we recently faced a significant engineering challenge: our output_payloads table in PostgreSQL was rapidly approaching 17TB on our largest cloud cluster, with no signs of slowing down. Once a table reaches PostgreSQL’s 32TB table size limit, it will stop accepting writes. This table holds event data, in the form of arbitrary JSON, which is critical to powering Tines workflows. Given the criticality of the data, we couldn’t risk any disruptions to it. As our monitoring showed the table's growth, we began experiencing warning signs. Cleanup jobs on the table had begun to time out. The table was causing increased I/O pressure on our infrastructure, leading us to use more expensive hardware. The arbitrary JSON shape of the data meant massive autovacuum jobs on its TOAST table. When these autovacuums ran, they displaced other tables from the buffer cache, forcing disk reads in critical areas. As a bandaid, we modified the autovacuum parameters of the table so that the autovacuums would run more frequently, but have less tuples to process. With performance slowly degrading, and 32TB looming on the horizon, we knew we needed to act decisively.https://www.tines.com/blog/futureproofing-tines-partitioning-a-17tb-table-in-postgresql
How I manage 100+ infrastructure components across multiple products, environments, and regions without configuration duplicationhttps://devineer.medium.com/managing-terraform-at-scale-a-deep-dive-into-terragrunt-configuration-hierarchy-54f1f16e7c1f
Master the command line, in one pagehttps://github.com/jlevy/the-art-of-command-line
Being an excellent engineer helps you advance through the ranks to become a Staff Engineer; “quiet influence” keeps you there. I’ve learned the hard way that my architectural proposals didn’t fail on technical merits (mostly 😅); they failed because of the social strategy (or lack thereof) I had employed behind them. I’d have a vision on how things were going to be improved, but struggled to recruit others to get behind the idea. After a few painful misses, I started building a toolkit of approaches that actually get big changes through. In this post, I’ll share a technique I use: Nemawashi.https://hodgkins.io/blog/quiet-influence-a-guide-to-nemawashi-in-engineering
This text is for developers that have an intuitive knowledge of what database indexes are, but don’t necessarily know how they work internaly, what are the tradeoffs associated with indexes, what are the types of indexes provided by postgres and how you can use some of its more advanced options to make them more optimized for your use case.https://dlt.github.io/blog/posts/introduction-to-postgresql-indexes
This Ansible collection provides battle tested hardening for Linux, SSH, nginx, MySQLhttps://github.com/dev-sec/ansible-collection-hardening
Zedis is a next-generation Redis GUI client designed for developers who demand speed. Unlike Electron-based clients that can feel sluggish with large datasets, Zedis is built on GPUI (the same rendering engine powering the Zed Editor). This ensures a native, 60 FPS experience with minimal memory footprint, even when browsing millions of keys.https://github.com/vicanso/zedis
An on-device search engine for everything you need to remember. Index your markdown notes, meeting transcripts, documentation, and knowledge bases. Search with keywords or natural language. Ideal for your agentic flows.https://github.com/tobi/qmd
On January 8, 2026, a routine update to 1.1.1.1 aimed at reducing memory usage accidentally triggered a wave of DNS resolution failures for users across the Internet. The root cause wasn't an attack or an outage, but a subtle shift in the order of records within our DNS responses.https://blog.cloudflare.com/cname-a-record-order-dns-standards
The Terraform MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Terraform Registry APIs, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development.https://github.com/hashicorp/terraform-mcp-server
اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
