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 19 407 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 6 952-o'rinni va Rossiya mintaqasida 34 858-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 19 407 obunachiga ega bo‘ldi.
11 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 162 ga, so‘nggi 24 soatda esa 13 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 15.12% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 7.09% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 2 932 marta ko‘riladi; birinchi sutkada odatda 1 376 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 1 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 12 Iyun, 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.
Volcano vgpu device-plugin can provide device-sharing mechanism for NVIDIA devices managed by volcano.https://github.com/Project-HAMi/volcano-vgpu-device-plugin
Cluster Bare Autoscaler (CBA) automatically adjusts the size of a bare-metal Kubernetes cluster by powering nodes off or on based on real-time resource usage, while safely cordoning and draining nodes before shutdown.https://github.com/docent-net/cluster-bare-autoscaler
A single <11MB binary with a modern Web UI, CLI, and API for KVM. No XML. No bloat. Just VMs.https://github.com/volantvm/flint
Private Captcha is an independent, privacy-first, self-hostable Proof-of-Work CAPTCHA service made in EU.https://github.com/PrivateCaptcha/PrivateCaptcha
A self-hosted database backup management tool. Schedule automated backups, monitor status, and manage multiple databases from one place.https://github.com/dendianugerah/velld
Self-hosted file management system with multi-cloud support.https://github.com/cloudreve/Cloudreve
A comprehensive guide to understanding metrics in OpenTelemetry. What they are, how they work, and how to implement them effectively with practical code examples.https://oneuptime.com/blog/post/2025-08-26-what-are-metrics-in-opentelemetry/view
You're probably reading this because you don't want to sink time or money into proprietary protocols and agents anymore. Why would you? They tie you to a single vendor, force you to adapt to their quirks, and make it painful to change direction later. What you really need is an open, consistent way to instrument, collect, and move your telemetry without worrying about compatibility or lock-in. That's exactly what OpenTelemetry (OTel) gives you. And at the center of it all is the OpenTelemetry Protocol (OTLP), the common language that makes your services, collectors, and backends speak fluently with each other. This guide will walk you through OTLP in detail: what it is, why it matters, and how to use it in real pipelines. By the end, you'll see how embracing OTLP and pairing it with an OTel-native backend helps you solve the challenges of modern observability while keeping your stack open, reliable, and free of lock-in.https://www.dash0.com/knowledge/opentelemetry-protocol-otlp
A modern, intuitive Kubernetes YAML generator that simplifies deployment configuration for developers and DevOps teams.https://github.com/same7ammar/kube-composer
Query YAML files with SQL. Transform any YAML structure into a queryable database instantly.https://github.com/AKSarav/YamlQL
The MySQL Operator for Kubernetes is an operator for managing MySQL InnoDB Cluster setups inside a Kubernetes Cluster. It manages the full lifecycle with set up and maintenance that includes automating upgrades and backup.https://github.com/mysql/mysql-operator
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