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.
To meet the bandwidth requirements of new and future AI workloads—and stay committed to our sustainability goals—the Dropbox networking team recently designed and launched our first data center architecture using highly efficient, cutting edge 400 gigabit per second (400G) ethernet technology.https://dropbox.tech/infrastructure/from-ai-to-sustainability-why-our-latest-data-centers-use-400g-networking
This post discusses testing and validation for infrastructure-as-code (IaC) with HashiCorp Terraform. The insights and ideas presented here can surely be extended to IaC in general.https://mattias.engineer/posts/terraform-testing-and-validation
In distributed systems, failures and latency issues are inevitable. Services can fail due to overloaded servers, network issues, bugs, and various other factors. As engineers building distributed systems, we need strategies to make our services robust and resilient in the face of such failures. One useful technique is using retries.https://www.codereliant.io/retries-backoff-jitter
The microservices architecture adds more moving parts to the overall system, and this doesn’t come for free. The cost of fully embracing microservices is only worth paying if it can be amortized across dozens of development teams.https://robertovitillo.com/costs-of-microservices
This week, we're taking another significant step forward as we get into the critical stack of monitoring and alerting. Now, it's time to equip yourself with the knowledge and tools needed to keep an eye on systems, analyze performance, and respond quickly to any issues that may come up.https://www.codereliant.io/sre-interview-prep-plan-week-3
In this blog post, we aim to expand on the first 5 lessons shared by Google's Site Reliability Engineering team, offering a closer look at practical implementation examples.https://www.codereliant.io/20-sre-lessons-from-google-part1
2VtzqvBXnuEWe often get questions like: - How much data can I put in an Elasticsearch cluster? - How many nodes can an Elasticsearch cluster have? - What’s the biggest cluster that you’ve seen? And while the 14-year-old in me is proud to say that we’ve done 24/7 support for clusters of 1000+ nodes holding many PB of data, I am quick to add that: 1. It doesn’t mean it’s a good idea to have clusters that big. 2. Such generic questions deserve more nuanced answers. Which is exactly what this blog post does. And it applies to OpenSearch as well as for Elasticsearch. And for the most part, to Solr (where the cluster state is stored in Zookeeper).https://sematext.com/blog/elasticsearch-scaling-cluster-state
We've added the ability to lint Dockerfiles on demand in Depot. This post covers the top 10 most common Dockerfile linting issues we've seen flowing through Depot.https://depot.dev/blog/dockerfile-linting-issues
