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 19 870 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 6 598-o'rinni va Rossiya mintaqasida 33 029-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 19 870 obunachiga ega bo‘ldi.
10 Noyabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -27 ga, so‘nggi 24 soatda esa -3 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 12.81% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 6.41% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 2 546 marta ko‘riladi; birinchi sutkada odatda 1 273 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 11 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.
Memory leaks are a common and frustrating problem in software development. These issues arise when a program fails to free up memory that is no longer being used, leading to a gradual loss of available memory over time.https://www.codereliant.io/what-is-a-memory-leak
This two-article series is about monitoring. Part One covers accumulating a multitude of different metrics in a single place, handling permissions for different aspects of those metrics, and storing large amounts of data. In Part Two, we then focus on choosing monitoring systems based on the brief example of a fictional company’s “journey” in struggling with continually expanding its monitoring system and growing its infrastructure.https://blog.palark.com/prometheus-architecture-tsdb
Cluster.dev is an open-source tool designed to manage cloud native infrastructures with simple declarative manifests - infrastructure templates. The infrastructure templates could be based on Terraform modules, Kubernetes manifests, Shell scripts, Helm charts, Kustomize and ArgoCD/Flux applications, OPA policies etc. Cluster.dev sticks those components together so that you could deploy, test and distribute a whole set of components with pinned versions.https://github.com/shalb/cluster.dev
The new Terraform version v1.6.0 introduce a test framework, named “Terraform test”. Here’s how to use it.https://blog.captaincy.io/how-to-use-terraform-test
Or, Eleven things we have learned as Site Reliability Engineers at Google 1. The riskiness of a mitigation should scale with the severity of the outage 2. Recovery mechanisms should be fully tested before an emergency 3. Canary all changes 4. Have a "Big Red Button" 5. Unit tests alone are not enough - integration testing is also needed 6. COMMUNICATION CHANNELS! AND BACKUP CHANNELS!! AND BACKUPS FOR THOSE BACKUP CHANNELS!!! 7. Intentionally degrade performance modes 8. Test for Disaster resilience 9. Automate your mitigations 10. Reduce the time between rollouts, to decrease the likelihood of the rollout going wrong 11. A single global hardware version is a single point of failurehttps://sre.google/resources/practices-and-processes/twenty-years-of-sre-lessons-learned
