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 19 875 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 6 586-o'rinni va Rossiya mintaqasida 33 026-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 19 875 obunachiga ega bo‘ldi.
07 Noyabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -19 ga, so‘nggi 24 soatda esa 5 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 12.88% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 6.49% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 2 559 marta ko‘riladi; birinchi sutkada odatda 1 290 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 08 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.
It seems like everywhere I look on the internet these days, somebody’s making some form of the following argument: You don’t need distributed systems! Computers are so fast these days you can serve all your customers off a single machine! This argument is silly and reductive. But first, let’s look for the kernel of truth. One Machine Is All You Need?https://brooker.co.za/blog/2024/06/04/scale.html
TL;DR: In this article, you will learn tips and gotchas for writing YAML manifests for Kubernetes resources.https://itnext.io/kubernetes-yaml-tips-and-tricks-904a2c0b2b81
Kubernetes is a superior platform for deploying and managing applications, but sometimes simple tasks like having the same data — in our case Secrets — between namespaces can cause slight problems and you have to build your own solutions to those problems.https://medium.com/lonto-digital-services-integrator/why-we-developed-own-kubernetes-controller-to-copy-secrets-e46368ae6db9
One common question I see on Mastodon and Reddit is "I've inherited a cluster, how do I safely upgrade it". It's surprising that this still isn't a better understood process given the widespread adoption of k8s, but I've had to take over legacy clusters a few times and figured I would write up some of the tips and tricks I've found over the years to make the process easier.https://matduggan.com/upgrading-kubernetes-safely
I’m one of those odd nuts that love kubernetes. I like it so much that it’s currently powering a lot of my personal stuff and hobby projects. So instead of the usual “k8s is bloated”, “k8s is overkill” or “why you don’t need k8s” posts, today let’s talk about why k8s is actually great for personal stuff, and why you should maybe also consider using it? :)https://david.coffee/why-and-how-i-use-k8s-for-personal-stuff
A curated list of awesome kubectl plugins inspired by the awesome list.https://github.com/ishantanu/awesome-kubectl-plugins
kubectl plugin lists allocations for resources (cpu, memory, gpu,...) as defined into the manifest of nodes and running pods. It doesn't list usage like kubectl top. It can provide result grouped by namespaces, nodes, pods and filtered by resources'name.https://github.com/davidB/kubectl-view-allocations
Welcome to my blog post on the best practices for using the official open-source Helm chart of Zalando Postgres Operator! In this post, I will describe my experience of using the Zalando Postgres Operator in a production environment, as well as provide some tips and tricks for getting the most out of it in your own Postgres deployments. I will also show how to integrate Gitlab CI to automate the deployment process. Whether you are new to the Postgres Operator or have been using it for a while, I hope that you will find this post helpful and informative. So, let’s dive in and take a closer look at the Zalando Postgres Operator!https://medium.com/@zkapishov/zalando-postgres-operator-in-production-the-way-of-helm-ccfd639ccb2d
The Kubernetes Platform team in Quadcode implements, supports and maintains Kubernetes and all processes around it. For five and a half years, our clusters and approaches have been changing and evolving. In the article we’ll tell you how we started, what we came to, and how we managed to make the maintenance of bare metal clusters comfortable.https://medium.com/geekculture/a-retrospective-of-working-with-bare-metal-kubernetes-or-to-there-and-back-1868c0356eff
