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DevOps & SRE notes

DevOps & SRE notes

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Helpful articles and tools for DevOps&SRE WhatsApp: https://whatsapp.com/channel/0029Vb79nmmHVvTUnc4tfp2F For paid consultation (RU/EN), contact: @tutunak All ways to support https://telegra.ph/How-support-the-channel-02-19

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DevOps & SRE notes (@devops_sre_notes) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 12 681 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 10 048-o'rinni va AQSH mintaqasida 2 966-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 12 681 obunachiga ega bo‘ldi.

14 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 228 ga, so‘nggi 24 soatda esa 6 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 15.90% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 4.81% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 2 016 marta ko‘riladi; birinchi sutkada odatda 610 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 5 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent kubernete, cluster, author, engineering, monitoring kabi asosiy mavzularga jamlangan.

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Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
Helpful articles and tools for DevOps&SRE WhatsApp: https://whatsapp.com/channel/0029Vb79nmmHVvTUnc4tfp2F For paid consultation (RU/EN), contact: @tutunak All ways to support https://telegra.ph/How-support-the-channel-02-19

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.

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Postlar arxiv
The article "Local Application Development on Kubernetes with Gefyra" by Piotr Minkowski offers a practical guide on using Gefyra to streamline and enhance local application development within Kubernetes environments. It covers the installation and use of Gefyra, demonstrating its efficiency in linking local development with Kubernetes cluster-internal services, and includes a detailed use case involving microservices. https://piotrminkowski.com/2023/09/01/local-application-development-on-kubernetes-with-gefyra/

Stateless cluster local OCI registry mirror. https://github.com/XenitAB/spegel

Kubernetes-native Job Queueing https://github.com/kubernetes-sigs/kueue

Free AWS Exam retake Exclusively with Pearson Vue https://home.pearsonvue.com/aws/freeretake

https://povilasv.me/troubleshooting-missing-kubernetes-logs-in-elasticsearch/ The article explores the common problem of missing Kubernetes logs in Elasticsearch. It delves into the reasons behind these missing logs, focusing on the role of Elasticsearch and Fluentd in log aggregation for Kubernetes pods, and offers insights into how to address and prevent this issue.

Rules engine for cloud security, cost optimization, and governance, DSL in yaml for policies to query, filter, and take actions on resources https://github.com/cloud-custodian/cloud-custodian

So in this post the author wants to briefly talk about - an intuitive mental model the author thinks many people have - how git actually represents branches internally (“branches are a pointer to a commit” etc) - how the “intuitive model” and the real way it works are actually pretty closely related - some limits of the intuitive model and why it might cause problems - Nothing in this post is remotely groundbreaking so I’m going to try to keep it pretty short. https://jvns.ca/blog/2023/11/23/branches-intuition-reality/

A story about migrating from AWS to Bare-Metal https://blog.oneuptime.com/moving-from-aws-to-bare-metal/

Very good explanation about network in containers https://labs.iximiuz.com/tutorials/container-networking-from-scratch

Easily add metrics to your code that actually help you spot and debug issues in production. Built on Prometheus and OpenTelemetry. https://github.com/autometrics-dev/autometrics-py

Kanban Terminal App written in Python https://github.com/Zaloog/kanban-python

Good video about cost optimization https://www.youtube.com/watch?v=EOUTf2Dxo0Y

AKS Karpenter Provider https://github.com/Azure/karpenter

Good review what feature AWS EKS has https://www.youtube.com/watch?v=HYG3B0Hw1sQ