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DevOps & SRE notes

DevOps & SRE notes

前往频道在 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

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📈 Telegram 频道 DevOps & SRE notes 的分析概览

频道 DevOps & SRE notes (@devops_sre_notes) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 12 670 名订阅者,在 技术与应用 类别中位列第 10 038,并在 美国 地区排名第 2 971

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 12 670 名订阅者。

根据 13 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 224,过去 24 小时变化为 10,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 16.54%。内容发布后 24 小时内通常能获得 4.74% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 2 095 次浏览,首日通常累积 600 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 4
  • 主题关注点: 内容集中在 kubernete, cluster, author, engineering, monitoring 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
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

凭借高频更新(最新数据采集于 14 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。

12 670
订阅者
+1024 小时
+667
+22430
帖子存档
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

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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