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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美国2 978 技术与应用10 040...

📈 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 12 657 名订阅者，在 技术与应用 类别中位列第 10 040，并在美国地区排名第 2 978 位。

📊 受众指标与增长动态

自 невідомо 创建以来，项目保持高速增长，吸引了 12 657 名订阅者。

根据 11 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 228，过去 24 小时变化为 17，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 17.75%。内容发布后 24 小时内通常能获得 4.84% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 2 247 次浏览，首日通常累积 612 次浏览。
互动与反馈： 受众积极参与，单帖平均反应数为 3。
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 12 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。

12 657

订阅者

+1724 小时

+677 天

+22830 天

2 247

帖子浏览量

~ 61224 小时

~ 79248 小时

17.75%

参与率

无数据

每日帖子数

Ads index

beta

帖子存档

12 658

This article provides an in-depth exploration of OpenTelemetry logs, a powerful open-source observability framework. It discusses how OpenTelemetry simplifies the collection and management of telemetry data at scale, offering developers better insights into application performance and behavior. https://manassharma.hashnode.dev/opentelemetry-logs-deep-dive

12 658

n³ The unorthodox terminal file manager https://github.com/jarun/nnn

12 658

An extensible framework for application-level data management on Kubernetes, Kanister is a Cloud Native Computing Foundation sandbox project and was originally created by the Veeam Kasten team. https://github.com/kanisterio/kanister

12 658

This blog post provides an in-depth exploration of the new mseal system call introduced in Linux kernel 6.10. The mseal syscall implements "memory sealing," allowing developers to make memory regions immutable during program runtime1 . It prevents attackers from modifying sealed memory areas, even with code execution capabilities1 https://blog.trailofbits.com/2024/10/25/a-deep-dive-into-linuxs-new-mseal-syscall/

12 658

This article details the author's experience integrating a MongoDB NoSQL database into a Kubernetes cluster and connecting it with a Spring Boot application. It provides a step-by-step guide on setting up a local Kind Kubernetes cluster, installing the MongoDB operator, creating a MongoDB cluster, and developing a Spring Boot application that interacts with the database https://medium.com/@martin.hodges/my-experience-adding-a-mongodb-no-sql-database-to-my-kubernetes-cluster-f43fe72fa0ba

12 658

Repost from N/a

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12 658

static builds cURL with HTTP3 https://github.com/stunnel/static-curl

12 658

PostgreSQL binary manager https://github.com/theory/pgenv

12 658

The article demonstrates how TAR can cause a complete service outage in one zone if pods become unavailable, despite the presence of healthy pods in other zones1 . It also highlights additional limitations of TAR, such as inconsistent behavior with fewer than three pods per zone and potential conflicts with other Kubernetes features like horizontal pod autoscaling https://buoyant.io/blog/the-trouble-with-topology-aware-routing-sacrificing-reliability-to-avoid-cross-zone-traffic

12 658

This article provides a comprehensive guide on implementing a Kubernetes webhook admission controller for custom authorization logic. It covers the process of creating an authorization service using Golang, setting up TLS certificates for secure communication, and configuring the necessary Kubernetes resources https://itnext.io/kubernetes-webhook-admission-controller-3271d041c636

12 658

🚀 Perplexity – Your DevOps Superpower! 🔥 I use Perplexity daily for my DevOps tasks, and it’s a game-changer! 💻⚡️ 🔍 Use it instead of search – get precise, instant answers without the noise. 🤖 All-in-One AI Hub – ChatGPT, Claude, and more in a single app. Boost your workflow with smarter AI! 🚀💡 👉 🔗 Register Now 👈

12 658

Lightweight server monitoring hub with historical data, docker stats, and alerts. https://github.com/henrygd/beszel

12 658

Hypermedia based internal tools for teams. Application server for containerized apps. Runbook automation like Rundeck, custom apps like Retool. https://github.com/claceio/clace

12 658

This article discusses using the Monkale CoreDNS Manager Operator to manage internal DNS in air-gapped Kubernetes (k3s) clusters. It provides a comprehensive guide on exposing k3s CoreDNS to the network, utilizing it as a DNS server, and managing DNS zones using Custom Resource Definitions (CRDs). https://itnext.io/managing-internal-dns-in-air-gapped-k3s-clusters-with-monkale-coredns-manager-operator-fa1c9136cc2c

12 658

This blog post introduces a solution for deploying serverless Streamlit applications using Terraform on AWS. It describes a scalable architecture that leverages Amazon ECS with Fargate, CloudFront for content delivery, and a CI/CD pipeline using CodePipeline and CodeBuild. The solution aims to simplify the deployment process, allowing developers to focus on building AI-powered apps without managing infrastructure https://aws.amazon.com/blogs/devops/accelerate-serverless-streamlit-app-deployment-with-terraform/

12 658

A static analysis tool for GitHub Actions https://github.com/woodruffw/zizmor

12 658

Collection of Intel device plugins for Kubernetes https://github.com/intel/intel-device-plugins-for-kubernetes

12 658

This blog post provides a comprehensive guide on selecting appropriate Postgres indexes to optimize database performance. It covers the fundamentals of indexes, their benefits and drawbacks, and offers practical advice on when and how to implement them effectively. https://pixelrobots.co.uk/2024/06/advanced-network-observability-supercharging-container-network-observability-in-azure-kubernetes-service-aks/

12 658

This guide demonstrates how to create an event-driven image processing pipeline using AWS Lambda, S3, and Terraform. When an image is uploaded to a source S3 bucket, it triggers a Lambda function that pixelates the image in real-time and stores the processed versions in a separate S3 bucket https://deepak-tyagi.medium.com/image-pixelator-event-driven-real-time-s3-to-lambda-image-processing-workflow-using-terraform-6fb88ba5cdf5

12 658

Experience Kubernetes Mastery Through Practice https://github.com/natrontech/kubelab