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 19 396 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 6 923-o'rinni va Rossiya mintaqasida 34 735-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 19 396 obunachiga ega bo‘ldi.
23 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 66 ga, so‘nggi 24 soatda esa -12 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 14.63% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 7.14% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 2 837 marta ko‘riladi; birinchi sutkada odatda 1 384 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 24 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.
In this article, I will explain how I analyzed and configured my Prometheus setup in order to significantly reduce its resource usage and worked around cardinality issues.https://0xdc.me/blog/prometheus-performance-and-cardinality-in-practice
Kubemarine is an open source, lightweight and powerful management tool built for end-to-end Kubernetes cluster deployment and maintenance.https://github.com/Netcracker/KubeMarine
kubeaudit helps you audit your Kubernetes clusters against common security controlshttps://github.com/Shopify/kubeaudit
To know about the concept of Linux's OOMKilled and how it helps Kubernetes to define a Quality of Service (QoS) class for its pods.https://cloudyuga.guru/hands_on_lab/k8s-qos-oomkilled
This is a Helm plugin which map deprecated or removed Kubernetes APIs in a release to supported APIshttps://github.com/helm/helm-mapkubeapis
Debug a target container in a Kubernetes cluster by automatically creating a new, non-invasive, 'debug' container in the same pid, network, user, and ipc namespace as the target container without disrupting the target container.https://github.com/JamesTGrant/kubectl-debug
In this post we're going to focus on the ways that a single load balancer might distribute HTTP requests to a set of servers. We'll start from the bottom and work our way up to modern load balancing algorithms.https://samwho.dev/load-balancing
macOS and Linux VMs on Apple Silicon to use in CI and other automationshttps://github.com/cirruslabs/tart
TL;DR: In this article you will learn how to create clusters on the GCP Google Kubernetes Engine (GKE) with the gcloud CLI and Terraform. By the end of the tutorial, you will automate creating three clusters (dev, staging, prod) complete with the GKE Ingress in a single click. UPDATED IN JANUARY 2023https://learnk8s.io/terraform-gke
Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not dayshttps://github.com/jitsucom/jitsu
Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
