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 19 420 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 6 942-o'rinni va Rossiya mintaqasida 34 783-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 19 420 obunachiga ega bo‘ldi.
14 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 168 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 14.70% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 7.04% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 2 855 marta ko‘riladi; birinchi sutkada odatda 1 367 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 15 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.
rsql is a command line SQL interface for data. rsql is a modern, feature-rich, and user-friendly client, that has been designed to be easy to use, and to provide a consistent experience across all supported data sources.https://github.com/theseus-rs/rsql
pgRouting extends the PostGIS/PostgreSQL geospatial database to provide geospatial routing and other network analysis functionality.https://github.com/pgRouting/pgrouting
A mysterious CPU spike in ClickHouse Cloud on GCP led to months of debugging, revealing a deeper issue within the Linux kernel’s memory management. What started as random performance degradation turned into a deep dive into kernel internals, where engineer Sergei Trifonov uncovered a hidden livelock. His journey through eBPF tracing, perf analysis, and a reproducible test case ultimately led to a surprising fix - only for another kernel bug to surface right after. Curious, read on…https://clickhouse.com/blog/a-case-of-the-vanishing-cpu-a-linux-kernel-debugging-story
Kubernetes' nodes don't necessarily need their own public IP addresses to communicate. However, there are certain situations where it's beneficial for nodes in a node pool to have their own unique public IP addresses. For instance, in gaming applications, a console might need to establish a direct connection with a cloud virtual machine to reduce the number of hops. Similarly, if you have multiple agents running on Kubernetes that need a direct server connection, and the server needs to whitelist all agent IPs, having dedicated public IPs can be useful. These scenarios, among others, can be handled on a cloud-managed Kubernetes cluster using Node Public IP. KubeIP is a utility that assigns a static public IP to each node it manages. The IP is allocated to the node's primary network interface, chosen from a pool of reserved static IPs using platform-supported filtering and ordering. If there are no static public IPs left, KubeIP will hold on until one becomes available. When a node is removed, KubeIP releases the static public IP back into the pool of reserved static IPs.https://github.com/doitintl/kubeip
Kruize Autotune is an Autonomous Performance Tuning Tool for Kubernetes. Autotune accepts a user provided "slo" goal to optimize application performance. It uses Prometheus to identify "layers" of an application that it is monitoring and matches tunables from those layers to the user provided slo. It then runs experiments with the help of a hyperparameter optimization framework to arrive at the most optimal values for the identified set of tunables to get a better result for the user provided slo. Autotune can take an arbitrarily large set of tunables and run experiments to continually optimize the user provided slo in incremental steps. For this reason, it does not necessarily have a "best" value for a set of tunables, only a "better" one than what is currently deployed.https://github.com/kruize/autotune
Metal3 (pronounced “metal cubed”) is an open-source project that provides a set of tools for managing bare-metal infrastructure using Kubernetes.https://metal3.io
TFBuddy allows Terraform Cloud users to get apply-before-merge workflows in their Pull Requests.https://github.com/zapier/tfbuddy
Terraform HTTP Backend implementation that uses Git repository as storagehttps://github.com/plumber-cd/terraform-backend-git
One of the main pieces of advice about Service Level Objectives (SLOs) is that they should focus on the user experience. Invariably, this leads to people further down the stack asking, “But how do I make my work fit the users?”—to which the answer is to redefine what we mean by “user.” In the end, a user is anyone who uses whatever it is you’re measuring.https://www.honeycomb.io/blog/slicing-up-and-iterating-on-slos
docker run»
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