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 19 401 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 6 933-o'rinni va Rossiya mintaqasida 34 700-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 19 401 obunachiga ega bo‘ldi.
21 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 89 ga, so‘nggi 24 soatda esa -4 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 14.66% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 7.20% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 2 845 marta ko‘riladi; birinchi sutkada odatda 1 398 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 22 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.
Troubleshooting Memory and CPU problemshttps://sysdig.com/blog/troubleshoot-kubernetes-oom
When working with containers in Kubernetes, it’s important to know what are the resources involved and how they are needed. Some processes will require more CPU or memory than others. Some are critical and should never be starved. Knowing that, we should configure our containers and Pods properly in order to get the best of both.https://sysdig.com/blog/kubernetes-limits-requests
cf-terraforming is a command line utility to facilitate terraforming your existing Cloudflare resources. It does this by using your account credentials to retrieve your configurations from the Cloudflare API and converting them to Terraform configurations that can be used with the Terraform Cloudflare provider. This tool is ideal if you already have Cloudflare resources defined but want to start managing them via Terraform, and don't want to spend the time to manually write the Terraform configuration to describe them.https://github.com/cloudflare/cf-terraforming
Реклама. ООО «Отус онлайн-образование», ОГРН 1177746618576, www.otus.ru, erid: 2VtzquccxpBAt the moment of writing this post we run 916 Prometheus instances with a total of around 4.9 billion time series.https://blog.cloudflare.com/how-cloudflare-runs-prometheus-at-scale
Harden-Runner provides runtime security for GitHub-hosted and self-hosted environmentshttps://github.com/step-security/harden-runner
Today, our Kafka fleet consists of over 1,500 brokers that host over 20,000 topics and close to 2,000 Mirror Maker nodes which are used to mirror the data among the clusters, offering 99.99% availability for our Kafka clusters. During the 2022 Retail Friday, Kafka traffic volume peaked at about 1.3 trillion messages per day! At present, we have 85+ Kafka clusters, and every holiday season we flex up our Kafka infrastructure to handle the traffic surge. The Kafka platform continues to seamlessly scale to support this traffic growth without any impact to our business.https://medium.com/paypal-tech/scaling-kafka-to-support-paypals-data-growth-a0b4da420fab
Press tab after --target and get suggestions for your resources and modules. terraform-target-autocompletion is a Go program that rely on terraform-config-inspect for the heavy lifting. So it should work with any Terraform version. You don't need anything else than the binary and the completion scripts provided. But currently you'll need Go 1.21.0 installed to build it yourself.https://github.com/shellwhale/terraform-target-autocompletion
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