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 6 935-o'rinni va Rossiya mintaqasida 34 746-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 19 420 obunachiga ega bo‘ldi.
16 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 151 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 15.05% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 7.12% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 2 923 marta ko‘riladi; birinchi sutkada odatda 1 383 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 17 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.
KubeVirt is a virtual machine management add-on for Kubernetes. The aim is to provide a common ground for virtualization solutions on top of Kubernetes.https://github.com/kubevirt/kubevirt
A tool to easily tail Kubernetes container logshttps://github.com/atombender/ktail
Curated List of Kubernetes Toolshttps://github.com/collabnix/kubetools
Are you considering migrating your PostgreSQL database from a service provider into Kubernetes, but you cannot afford downtime? Recipe #5 details step-by-step instructions, leveraging CloudNativePG and logical replication, to seamlessly transition from PostgreSQL 10+ to 16 using an imperative method. Learn how to set up initial configurations, execute migrations, and handle various use cases, such as transitioning from DBaaS to Kubernetes-managed databases and performing version upgrades. Emphasizing testing, learning, and compliance with regulations like the Data Act, this guide empowers users to maintain control over their data by migrating to Kubernetes.https://www.gabrielebartolini.it/articles/2024/03/cloudnativepg-recipe-5-how-to-migrate-your-postgresql-database-in-kubernetes-with-~0-downtime-from-anywhere
TLDR: Running Kubernetes on Hetzner offers cost-effective options, but handling production workloads, especially stateful ones like databases, raises concerns. Hetzner provides instance and cloud volume storage options with significant differences in IOPS performance. Longhorn, a distributed block storage system, can be used to leverage local volumes, but benchmarks show a slowdown compared to raw local files. Probably host a datatbase either on a dedicated host or use a hosted option instead.https://sveneliasson.de/benchmarking-hetzners-storage-classes-for-database-workloads-on-kubernetes
Balancing traffic across multiple Kubernetes clusters and achieving automatic disaster recovery switching has always been a headache. We have explored public clouds and Karmada Ingress, and have also tried manual DNS solutions, but these approaches often fell short in terms of cost, universality, flexibility, and automation. It was not until we discovered k8gb, a project initiated by South Africa’s Absa Group to provide banking-level multi-availability, that we realized the ingenuity of using various DNS protocols to deliver a universal and highly automated GSLB solution. This blog will briefly discuss the problems with other approaches and how k8gb cleverly uses DNS to implement GSLB.https://oilbeater.com/en/2024/04/18/k8gb-best-cloudnative-gslb
It’s possible to dynamically resize CPU on containers in k8s with the feature gate “InPlacePodVerticalScaling”. Before this feature gate, sizing CPU was error prone and, in reality, we would often put something too high, to not deal with latency. Too much CPU and precious resources are wasted, too few CPU and the app is slowed. Let’s explore the ways to dynamically resize CPU.https://medium.com/@mathieuces/how-to-calculate-cpu-for-containers-in-k8s-dynamically-47a89e3886eb
Additional Networks on Kubernetes using Multus CNI.https://medium.datadriveninvestor.com/can-a-kubernetes-pod-have-more-than-one-network-attached-6d78456dbeb2
Understanding Terraform Variable Precedence: Which Value Wins?https://towardsaws.com/mastering-terraform-understanding-variable-precedence-for-optimal-configuration-control-59c98dcd1505
Реклама. ООО «Отус онлайн-образование», ОГРН 1177746618576, erid: 2VtzqwFfAuVThe CNCF candidate for observability visualisation.https://github.com/perses/perses
Recently, I was tasked with analyzing cross-AZ traffic in Kubernetes to identify opportunities for reduction, as it is a significant contributor to our AWS bill. The first step was to understand how traffic flows between services and what portion consistently crosses Availability Zones (AZs). To optimize cross-AZ traffic, I considered using topology-aware routing for services. However, before implementing this solution, I needed a method to effectively analyze inter-pod traffic at the AZ level. To achieve this, monitoring network traffic at the pod level is necessary. I decided to use eBPF (Extended Berkeley Packet Filter) technology, as it allows us to observe network interactions with minimal performance overhead. In this article, I will explain what eBPF is, explore the tools available for using it, and provide a step-by-step guide on implementing monitoring for inter-pod traffic using Retina, Kube State Metrics, Prometheus, and Grafana.https://medium.com/@j.aslanov94/monitoring-inter-pod-traffic-at-the-az-level-with-ebpf-based-tool-retina-7a79818e305b
Master Terraform modules for Azure infrastructure management. Learn to create, use, and optimize modules, build a multi-tier application, and implement best practices for large-scale projects. Ideal for DevOps engineers and cloud architects looking to enhance their Infrastructure as Code skills on Azure.https://www.iamachs.com/p/azure-terraform/part-7-modules-grand-finale
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