DevOps&SRE Library
Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3
Ko'proq ko'rsatish📈 Telegram kanali DevOps&SRE Library analitikasi
DevOps&SRE Library (@devopslibrary) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 19 868 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 6 604-o'rinni va Rossiya mintaqasida 33 067-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 19 868 obunachiga ega bo‘ldi.
04 Noyabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -23 ga, so‘nggi 24 soatda esa 0 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 13.09% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 6.62% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 2 600 marta ko‘riladi; birinchi sutkada odatda 1 315 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 0 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent kubernete, cluster, infrastructure, storage, configuration kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Библиотека статей по теме DevOps и SRE.
Реклама: @ostinostin
Контент: @mxssl
РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 05 Noyabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
lla is a high-performance, extensible alternative to the traditional ls command, written in Rust. It offers enhanced functionality, customizable output, and a plugin system for extended capabilities.https://github.com/triyanox/lla
How Slack trains engineers in incident response by ordering lunch together.https://slack.engineering/theres-no-such-thing-as-a-free-lunch
Embed an SQLite database in your PostgreSQL table. AKA multitenancy has been solved.https://github.com/frectonz/pglite-fusion
The open source Zapier alternative. Build workflow automation without spending time and money.https://github.com/automatisch/automatisch
Save or export your private and public Slack messages, threads, files, and users locally without admin privileges.https://github.com/rusq/slackdump
About a year ago, Honeycomb kicked off an internal experiment to structure how we do incident response. We looked at the usual severity-based approach (usually using a SEV scale), but decided to adopt an approach based on types, aiming to better play the role of quick definitions for multiple departments put together. This post is a short report on our experience doing it.https://www.honeycomb.io/blog/against-incident-severities-favor-incident-types
Реклама. ООО «Отус онлайн-образование», ОГРН 1177746618576, erid: 2VtzqwCYrt7According to a survey done by W3Techs, as of October 2024, Cloudflare is used as an authoritative DNS provider by 14.5% of all websites. As an authoritative DNS provider, we are responsible for managing and serving all the DNS records for our clients’ domains. This means we have an enormous responsibility to provide the best service possible, starting at the data plane. As such, we are constantly investing in our infrastructure to ensure the reliability and performance of our systems.https://blog.cloudflare.com/migrating-billions-of-records-moving-our-active-dns-database-while-in-use
mise is a polyglot tool version manager. It replaces tools like asdf, nvm, pyenv, rbenv, etc. mise allows you to switch sets of env vars in different project directories. It can replace direnv. mise is a task runner that can replace make, or npm scripts.https://github.com/jdx/mise
Netavark is a rust based network stack for containers.https://github.com/containers/netavark
As generative AI evolves, we're beginning to see the transformative potential it is having across industries and our lives. And as large language models (LLMs) increase in size — current models are reaching hundreds of billions of parameters, and the most advanced ones are approaching 2 trillion — the need for computational power will only intensify. In fact, training these large models on modern accelerators already requires clusters that exceed 10,000 nodes. With support for 15,000-node clusters — the world’s largest — Google Kubernetes Engine (GKE) has the capacity to handle these demanding training workloads. Today, in anticipation of even larger models, we are introducing support for 65,000-node clusters. With support for up to 65,000 nodes, we believe GKE offers more than 10X larger scale than the other two largest public cloud providers.https://cloud.google.com/blog/products/containers-kubernetes/gke-65k-nodes-and-counting
