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 19 864 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 6 625-o'rinni va Rossiya mintaqasida 33 063-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 19 864 obunachiga ega bo‘ldi.
12 Noyabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -25 ga, so‘nggi 24 soatda esa 1 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 13.05% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 6.36% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 2 592 marta ko‘riladi; birinchi sutkada odatda 1 263 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 13 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.
Distributed tracing is crucial for monitoring complex systems. This article covers the three most popular open-source tracing tools: Jaeger, Zipkin, and Grafana Tempo.https://codersociety.com/blog/articles/jaeger-vs-zipkin-vs-tempo
A Guide to Effective Dashboard Design for DevOps and SREhttps://horovits.medium.com/unreadable-metrics-why-you-cant-find-anything-in-your-monitoring-dashboards-12fcc23d34c8
Everyone wants high utilization and high reliability. The hard truth about Kubernetes is that you need to pick one or the other.https://home.robusta.dev/blog/kubernetes-utilization-vs-reliability
TL;DR: Scaling nodes in a Kubernetes cluster could take several minutes with the default settings. Learn how to size your cluster nodes and proactively create nodes for quicker scaling.https://hashnode.com/post/proactive-cluster-autoscaling-in-kubernetes-cl88pz1ua01obu5nv24520hv6
On Kubernetes, the best practice is to set memory limit=request. This surprises many people, especially because we recommend not setting Kubernetes CPU limits altogether! Here's everything to know when setting a Kubernetes memory limit.https://home.robusta.dev/blog/kubernetes-memory-limit
AWS Load Balancer advanced tips & trickshttps://towardsdatascience.com/manage-your-aws-eks-load-balancer-like-a-pro-7ca599e081ca
