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 19 869 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 6 592-o'rinni va Rossiya mintaqasida 33 036-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 19 869 obunachiga ega bo‘ldi.
06 Noyabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -21 ga, so‘nggi 24 soatda esa 0 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 12.96% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 6.54% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 2 575 marta ko‘riladi; birinchi sutkada odatda 1 299 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 07 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.
We have made the VictoriaLogs stack for storing logs and the main goal will be to collect logs from k8s. At the moment the product is ready and shows itself very well (does not require resources, compresses data very well) https://docs.victoriametrics.com/victorialogs/ Among the features - supports many protocols for data insertion (including native syslog, promtail (and all variations of this name), elasticsearch, examples of how to write through standard log shippers). VictoriaLogs has visualisation in Grafana and its own UI + query langues, which allows you to basically do whatever you want with logs (filtering analytics slide/dice). We plan to release the cluster and officially announce that everything is ready on Kubecon NA this fall. The Roadmap: https://docs.victoriametrics.com/victorialogs/roadmap/ As for important things: cluster support for s3, alerting and operator (now only helm chart is available). We'll be glad to get feedback at our telegram community @VictoriaMetrics_en or at https://slack.victoriametrics.com The code is here - https://github.com/VictoriaMetrics/VictoriaMetrics/tree/master/app/victoria-logs (monorepo for VictoriaMetrics and VictoriaLogs)
Embrace engineers share a few key learnings from supporting larger log sizes, including working around a current limitation in ClickHouse and testing several skip indices to optimize query performance and storage cost.https://embrace.io/blog/solving-large-logs-with-clickhouse
Since long before I worked at HashiCorp I've been interested in the problems with how Terraform interacts with security-sensitive information like passwords and private keys.https://log.martinatkins.me/2024/05/22/terraform-ephemeral-values
The GitOps Bridge is a community project that aims to showcase best practices and patterns for bridging the process of creating a Kubernetes cluster to subsequently managing everything through GitOps. It focuses on using ArgoCD or FluxCD, both of which are CNCF-graduated projects.https://github.com/gitops-bridge-dev/gitops-bridge
Kubernetes schedules GPU workloads by assigning a whole device to a single job exclusively. This one-to-one relationship leads to massive GPU underutilization, especially for interactive jobs, characterized by significant idle periods and infrequent bursts of heavy GPU usage. Current solutions enable GPU sharing by statically assigning a fixed slice of GPU memory to each co-located job. These solutions are not suitable for interactive scenarios since the number of co-located jobs is limited by the size of physical GPU memory. Consequently, users must know the GPU memory demand of their jobs before submitting them for execution, which is impractical.https://www.arrikto.com/blog/gpu-virtualization-in-k8s-challenges-and-state-of-the-art
Understand Kubernetes Events and learn to use kubectl events to monitor and troubleshoot your cluster’s issues effectively.https://decisivedevops.com/kubernetes-events-news-feed-of-your-kubernetes-cluster-826e08892d7a
The nuances of how users and groups are configured in Kubernetes and how the role-based access control (RBAC) mechanism applies for them.https://blog.adityasamant.dev/users-groups-roles-and-api-access-in-kubernetes
Argo Event is a Kubernetes based event automation engine. It is part of the Argo project. Argo Events can be used with or independent of other projects in Argo. I will be writing a series of articles on Argo Events; in these articles I will be looking at how we can use Argo Event to automate process within and without a Kubernetes cluster. For this first article in this series, we will examine Argo Events core concepts, installation and provisioning different event buses which Argo Event uses to forward events to their sink. Finally we will look at setting up a webhook event flow to verify our setup.https://medium.chuklee.com/argo-events-event-bus-and-webhook-ac34e5714209
Know the differences between ConfigMaps mounted as Volumes and ConfigMaps defined as environment variables.https://blog.adityasamant.dev/configmap-conundrum-subtleties-of-dynamic-updates-in-kubernetes-configurations
A database does not need a write-ahead log (WAL) to achieve durability. A database can write its long-term data structure durably to disk before returning to a client. Granted, this is a bad idea! And granted, a WAL is critical for durability by design in most databases. But I think it's helpful to understand WALs by understanding what you could do without them.https://notes.eatonphil.com/2024-07-01-a-write-ahead-log-is-not-a-universal-part-of-durability.html
Applying Quality of Service techniques at the application levelhttps://netflixtechblog.com/enhancing-netflix-reliability-with-service-level-prioritized-load-shedding-e735e6ce8f7d
