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DevOps & SRE notes

DevOps & SRE notes

رفتن به کانال در Telegram

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

نمایش بیشتر

📈 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 12 670 مشترک است و جایگاه 10 038 را در دسته فناوری و برنامه‌ها و رتبه 2 971 را در منطقه الولايات المتحدة الأمريكية دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 12 670 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 13 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 224 و در ۲۴ ساعت گذشته برابر 10 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 16.54% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 4.74% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 2 095 بازدید دریافت می‌کند. در اولین روز معمولاً 600 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 4 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 14 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.

12 670
مشترکین
+1024 ساعت
+667 روز
+22430 روز
آرشیو پست ها
This article delves into the innovative approach adopted by Levels.fyi to develop a scalable search solution using PostgreSQL https://www.levels.fyi/blog/scalable-search-with-postgres.html

🐺 A Fast, Secure and Reliable Terraform Backend, Set up in Minutes. https://github.com/Clivern/Lynx

A CLI application to determine the required terraform version https://github.com/ikorchynskyi/terraform-version-inspect

The blog post delves into the challenges and techniques of creating Infrastructure as Code (IaC) using existing cloud configurations. The author, Cory O'Daniel, critiques the limitations of current tools like Terraformer and Terracognita, which often fail to simplify the process effectively. He emphasizes the complexity and manual effort still required to convert existing resources into well-organized IaC, highlighting the pitfalls and inefficiencies in these tools. https://www.massdriver.cloud/blogs/generating-infrastructure-as-code-from-existing-cloud-resources

The article explains how to use AWS CodeBuild's Lambda Compute to make Terraform deployments faster and more cost-efficient. The post covers recent updates to CodeBuild that integrate Lambda for building and testing, and introduces the use of custom images for builds. Practical steps and code snippets are included to help readers implement these improvements in their own infrastructure projects. https://dev.to/aws-builders/accelerate-and-save-cost-for-terraform-deployments-with-aws-codebuilds-lambda-compute-5814

In the blog post the author explores the key performance indicators used to measure the efficiency and effectiveness of software delivery. Known as DORA metrics, these indicators include deployment frequency, lead time for changes, mean time to recovery, and change failure rate. By analyzing these metrics, organizations can gain valuable insights into their development processes and identify areas for improvement. This article provides an in-depth look at each metric, offering practical advice on how to leverage them to optimize software delivery and achieve DevOps excellence. https://www.datadoghq.com/blog/dora-metrics-software-delivery/

☸️ Kubernetes-native testing framework for test execution and orchestration https://github.com/kubeshop/testkube

Chalk allows you to follow code from development, through builds and into production. https://github.com/crashappsec/chalk

The article discusses how DoorDash utilizes eBPF (extended Berkeley Packet Filter) technology for advanced monitoring capabilities to handle network traffic across their services efficiently. The post details the development and operation of BPFAgent, a tool built using eBPF to enhance observability within their Kubernetes clusters by tracking and analyzing network interactions and system calls without additional code instrumentation. https://doordash.engineering/2023/08/15/bpfagent-ebpf-for-monitoring-at-doordash/

The blog post challenges the notion that cybersecurity is uniquely complex within the software industry. She argues that many of the issues faced by cybersecurity are similar to those encountered by other engineering disciplines. Through critical analysis and comparison, Shortridge advocates for integrating cybersecurity with other engineering efforts to improve overall system resilience and reduce inefficiencies caused by treating cybersecurity as a separate, esoteric field. https://kellyshortridge.com/blog/posts/cybersecurity-isnt-special/

🐚 OpenDevin: Code Less, Make More https://github.com/OpenDevin/OpenDevin

Operator for Multi-Cluster Monitoring with Thanos. https://github.com/stolostron/multicluster-observability-operator

This article offers practical advice on essential tools to have installed on Linux servers to quickly address performance issues during a crisis. It outlines a recommended toolkit for immediate diagnostics and troubleshooting, highlighting the importance of having these tools pre-installed to avoid delays in resolving urgent problems. The discussion includes detailed scenarios illustrating potential challenges and solutions when dealing with system outages, underscoring the utility of preparedness in crisis management. https://www.brendangregg.com/blog/2024-03-24/linux-crisis-tools.html

Cleaner is a Kubernetes controller that identifies unused or unhealthy resources, helping you maintain a streamlined and efficient Kubernetes cluster. It provides flexible scheduling, label filtering, Lua-based selection criteria, resource removal or update and notifications via Slack, Webex and Discord. it can also automate clusters operations. https://github.com/gianlucam76/k8s-cleaner

Looking for a hosting platform to practice with Linux, Kubernetes, etc.? Register using my referral link on DigitalOcean and
Looking for a hosting platform to practice with Linux, Kubernetes, etc.? Register using my referral link on DigitalOcean and get $200 in credit for 60 days. By registering through my referral link, you also support this Telegram channel. 👉 Register

This article delves into effective strategies for enhancing Continuous Integration (CI) build speeds and reducing operational costs. It provides a comprehensive guide on optimizing CI processes by implementing parallel test execution, caching build artifacts, and reorganizing workflows into distinct jobs to improve efficiency and decrease resource usage. https://owaiskhan.me/post/improve-ci-build-time-and-reduce-cost

In the article "How Containers Work," the author provides an in-depth exploration of the fundamental concepts and mechanisms behind container technology. Containers have transformed the software development and deployment landscape by offering a lightweight, portable, and efficient way to run applications. This article breaks down the core components of containers, such as namespaces, cgroups, and the container runtime, explaining how they interact to isolate and manage application processes. By understanding the inner workings of containers, readers can gain insights into their advantages, how they differ from traditional virtualization, and best practices for leveraging them in modern software development workflows. https://ikouchiha47.github.io/2024/02/05/how-containers-work.html

A cloud native implementation for Apache Kafka, reducing your cloud infrastructure bill by up to 90%. https://github.com/AutoMQ/automq

Faster way to switch between clusters and namespaces in kubectl https://github.com/ahmetb/kubectx