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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 12 663 名订阅者,在 技术与应用 类别中位列第 10 041,并在 美国 地区排名第 2 974

📊 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 12 663 名订阅者。

根据 12 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 218,过去 24 小时变化为 3,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 16.84%。内容发布后 24 小时内通常能获得 4.90% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 2 132 次浏览,首日通常累积 620 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 13 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。

12 663
订阅者
+324 小时
+667
+21830
帖子存档
Monitoring AWS Lambda functions is essential for ensuring their performance and reliability. This comprehensive guide from AWS Plain English covers everything you need to know about AWS Lambda monitoring. Explore the tools, metrics, and best practices for tracking the health and efficiency of your serverless applications, enabling you to detect issues early and optimize performance. #AWSLambda #Serverless #Monitoring https://aws.plainenglish.io/aws-lambda-monitoring-a-full-guide-3cc68c6052fd

The incredible HULL - Helm Uniform Layer Library - is a Helm library chart to improve Helm chart based workflows. https://github.com/vidispine/hull #helm #kubernetes #devops

Out-Of-Memory (OOM) issues can be a common challenge in Kubernetes environments, and understanding the OOM Killer is crucial for maintaining system stability. This article from Cloud Native Daily demystifies the OOM Killer in Kubernetes, explaining how it operates and how to track down memory issues. Learn the best practices for diagnosing and preventing memory-related problems in your Kubernetes clusters. #Kubernetes #OOMKiller #MemoryManagement https://medium.com/cloud-native-daily/title-demystifying-oom-killer-in-kubernetes-tracking-down-memory-issues-b5a4973fbd56

Run one off job on kubernetes from the command line tool https://github.com/h3poteto/kube-job #Kubernetes #CLI #JobManagement

Network monitoring & diagnosis suite for Kubernetes https://github.com/alibaba/kubeskoop #Kubernetes #NetworkMonitoring #Diagnostics

Returning to Terraform after a break can be both refreshing and challenging. This article from Ordina JWorks revisits Terraform, exploring the latest features, best practices, and updates in the infrastructure as code landscape. Whether you're reacquainting yourself with Terraform or looking to enhance your existing knowledge, this guide provides valuable insights to help you get back on track with efficient and scalable infrastructure management. #Terraform #InfrastructureAsCode #DevOps https://blog.ordina-jworks.io/cloud/2023/06/05/back-to-terraform.html

https://blog.palark.com/prometheus-architecture-tsdb/ Prometheus is a powerful monitoring tool, and understanding its architecture, particularly the Time Series Database (TSDB), is key to effectively managing and querying metrics. This article from Palark delves into the architecture of Prometheus with a focus on TSDB, explaining how it stores and retrieves time-series data. Learn about the inner workings of Prometheus to optimize your monitoring setup and gain deeper insights into your system’s performance. #Prometheus #Monitoring #TSDB

A performance dashboard for Postgres https://github.com/ankane/pghero #Postgres #PerformanceMonitoring #Dashboard

https://github.com/runwhen-contrib/runwhen-local RunWhen Local provides a tailored troubleshooting cheat sheet for Kubernetes environments #Kubernetes #Troubleshooting #CheatSheet

Tracing Kubernetes services is vital for understanding the flow of requests and diagnosing issues within your microservices architecture. This article from ITNEXT delves into the techniques and tools used to implement tracing in Kubernetes environments. Learn how to gain deep visibility into your services, identify bottlenecks, and improve the performance and reliability of your applications. #Kubernetes #ServiceTracing #Microservices https://itnext.io/tracing-kubernetes-services-4dc827abdc55

Kubernetes controller for GitHub Actions self-hosted runners https://github.com/actions/actions-runner-controller #Kubernetes #GitHubActions #SelfHostedRunners

Managing in-cluster and external services in Kubernetes can be complex, especially when using load balancers. This article from LoxiLB discusses the nuances of setting up an in-cluster external service load balancer with LoxiLB. Explore the challenges, solutions, and best practices to optimize load balancing for your Kubernetes services, ensuring efficient traffic management and high availability. #Kubernetes #LoadBalancing #LoxiLB https://www.loxilb.io/post/k8s-nuances-of-in-cluster-external-service-lb-with-loxilb

Monitoring containerd is essential for ensuring the health and performance of your containerized applications. This article by Povilas Veresciakas provides a comprehensive guide on how to monitor containerd effectively. Learn about the key metrics, tools, and best practices needed to gain insights into your container runtime and maintain reliable operations. #ContainerMonitoring #containerd #DevOps https://povilasv.me/how-to-monitor-containerd/

eBPF Observability - Distributed Tracing and Profiling https://github.com/deepflowio/deepflow #eBPF #Observability #DistributedTracing

Canonical Kubernetes is an opinionated and CNCF conformant Kubernetes operated by Snaps and Charms, which come together to bring simplified operations and an enhanced security posture on any infrastructure. https://github.com/canonical/k8s-snap #Kubernetes #Ubuntu #Snap

Mastering Terraform modules is key to managing complex Azure infrastructure efficiently. In this final part of the series, IAMACHS delves into advanced techniques for using Terraform modules on Azure. Explore best practices, real-world examples, and tips for organizing and reusing infrastructure code, ensuring scalable and maintainable deployments. #Terraform #Azure #InfrastructureAsCode https://www.iamachs.com/p/azure-terraform/part-7-modules-grand-finale/

Optimizing Terraform workflows is essential for efficient infrastructure management. This article by Bejarano.io introduces "Terraform Plan Light," a tool designed to speed up the Terraform plan process by reducing unnecessary overhead. Learn how to integrate this tool into your workflow to improve performance and streamline your Terraform operations. #Terraform #InfrastructureAutomation #DevOps https://www.bejarano.io/terraform-plan-light

Optimized and Maintenance-free Kubernetes on Hetzner Cloud in one command! https://github.com/kube-hetzner/terraform-hcloud-kube-hetzner #Kubernetes #HetznerCloud #Terraform

Codespaces but open-source, client-only and unopinionated: Works with any IDE and lets you use any cloud, kubernetes or just localhost docker. https://github.com/loft-sh/devpod #OpenSource #CodespacesAlternative #DevelopmentEnvironment

Implementing request-level authentication and authorization is vital for securing microservices in Kubernetes. This article from InfraCloud discusses how to integrate Istio with Keycloak to achieve fine-grained access control. Learn how these tools work together to enhance the security of your Kubernetes environment by managing authentication and authorization at the request level. #KubernetesSecurity #Istio #Keycloak https://www.infracloud.io/blogs/request-level-authentication-authorization-istio-keycloak/