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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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📈 تحلیل کانال تلگرام DevOps & SRE notes

کانال DevOps & SRE notes (@devops_sre_notes) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 12 640 مشترک است و جایگاه 10 047 را در دسته فناوری و برنامه‌ها و رتبه 2 979 را در منطقه الولايات المتحدة الأمريكية دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 12 640 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 10 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 217 و در ۲۴ ساعت گذشته برابر 3 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 18.62% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 4.84% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 2 354 بازدید دریافت می‌کند. در اولین روز معمولاً 612 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 3 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند kubernete, cluster, author, engineering, monitoring تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
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

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 11 ژوئن, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامه‌ها تبدیل کرده‌اند.

12 640
مشترکین
+324 ساعت
+487 روز
+21730 روز
آرشیو پست ها
Examine the concept of implicit Service Level Objectives (SLOs) and the potential risks they pose to system reliability and performance. This article highlights the importance of defining explicit SLOs for better service management. https://blog.relyabilit.ie/implicit-slos-and-their-dangers/

KubeSnapIt – A PowerShell tool for managing Kubernetes snapshots, restorations, and comparisons with ease. Capture snapshots of your Kubernetes resources, restore them when needed, and compare snapshots or live cluster states to track changes over time. https://github.com/KubeDeckio/KubeSnapIt

Discover what platform engineering meant for the SREs at Adidas in this insightful report. It examines the cultural and technical shifts that occurred within the organization. https://thenewstack.io/what-platform-engineering-meant-for-adidass-sres/

Bare metal host provisioning integration for Kubernetes https://github.com/metal3-io/baremetal-operator

Manage your GnuPG keys with ease! 🔐 https://github.com/orhun/gpg-tui

Explore the strategies and techniques Cloudflare employs to improve the resilience of its platform, ensuring high availability and reliability for its global network. This blog post provides insights into building a resilient infrastructure. https://blog.cloudflare.com/nl-nl/improving-platform-resilience-at-cloudflare/

JET Pilot is an open-source Kubernetes desktop client that focuses on less clutter, speed and good looks. https://github.com/unxsist/jet-pilot

Delve into the innovative approach of building a serverless ACID-compliant database, understanding the techniques and trade-offs involved in achieving transactional consistency in a serverless environment. This article explores a novel database architecture. https://notes.eatonphil.com/2024-09-29-build-a-serverless-acid-database-with-this-one-neat-trick.html

CLI tool for linting and testing Helm charts https://github.com/helm/chart-testing

Investigate K8sGPT and Ollama as a cost-free solution for automated diagnostics in Kubernetes, understanding how they can streamline troubleshooting and improve the operational efficiency of your clusters. This article explores the potential of AI-powered diagnostics in Kubernetes. https://addozhang.medium.com/@sumuduliyan/container-communication-inside-a-kubernetes-pod-a5e84d607ef2

Repost from Python notes
This piece provides a guide to building a Retrieval-Augmented Generation (RAG) system using Anthropic's Claude, PostgreSQL, and Python on AWS. The tutorial walks through setting up the necessary PostgreSQL extensions and using Amazon Bedrock to create an application that generates more accurate AI responses. https://www.tigerdata.com/blog/building-a-rag-system-with-claude-postgresql-python-on-aws

Build and deploy Go applications https://github.com/ko-build/ko

Explore the challenges and solutions for managing stateful applications in Kubernetes using Operators, gaining insights into how to effectively handle persistent data and complex deployments. This blog post delves into the complexities of stateful workloads in Kubernetes. https://blog.palark.com/stateful-in-kubernetes-and-operators/

Understand the intricacies of container communication within a Kubernetes pod, exploring the various mechanisms and considerations for enabling effective interaction between containers in a shared environment. This article provides insights into Kubernetes networking concepts. https://medium.com/@sumuduliyan/container-communication-inside-a-kubernetes-pod-a5e84d607ef2

KubeBlocks is an open-source control plane software that runs and manages databases, message queues and other stateful applications on K8s. https://github.com/apecloud/kubeblocks

A batteries-included Python client library for Kubernetes that feels familiar for folks who already know how to use kubectl https://github.com/kr8s-org/kr8s

The essay walks through a hands-on pipeline that signs Kubernetes container images with Cosign, enforces them with Kyverno, and stores keys in HashiCorp Vault—all wired together in GitLab CI. You’ll leave with a reproducible template for securing your software supply chain. https://angapov.medium.com/kubernetes-container-images-signing-using-cosign-kyverno-hashicorp-vault-and-gitlab-ci-c4e2041d1310

This post explains how Sharyash Agrawal tamed CPU throttling in Go services running under Kubernetes limits. From choosing the right GC knob to tuning Go’s runtime scheduler, the guide helps teams avoid sudden latency spikes. https://medium.com/@sharyash81/solving-cpu-throttling-issue-in-golang-applications-before-hitting-the-cpu-limit-in-kubernetes-7d8f40da6477

In Slack’s detailed write-up, engineers share how the Unified Grid architecture split a monolithic workspace into isolated “cells” to serve enterprises with hundreds of thousands of users. The narrative dives into sharding strategy, migration challenges, and the performance wins that followed. https://slack.engineering/unified-grid-how-we-re-architected-slack-for-our-largest-customers/

The piece argues that traces beat metrics when you need to pinpoint latency spikes and hidden dependencies. It walks through three concrete debugging scenarios that show why span data can surface root causes in seconds. https://jaywhy13.hashnode.dev/3-reasons-traces-better-than-metrics-for-debugging-your-application