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DevOps&SRE Library

DevOps&SRE Library

前往频道在 Telegram

Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3

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📈 Telegram 频道 DevOps&SRE Library 的分析概览

频道 DevOps&SRE Library (@devopslibrary) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 19 462 名订阅者,在 技术与应用 类别中位列第 6 796,并在 俄罗斯 地区排名第 34 381

📊 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 19 462 名订阅者。

根据 08 七月, 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 85,过去 24 小时变化为 11,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 12.84%。内容发布后 24 小时内通常能获得 7.22% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 2 498 次浏览,首日通常累积 1 404 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 0
  • 主题关注点: 内容集中在 kubernete, cluster, infrastructure, storage, configuration 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:
Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3

凭借高频更新(最新数据采集于 09 七月, 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。

19 462
订阅者
+1124 小时
+297
+8530
帖子存档
Kubernetes Logging and Monitoring Explained https://kublr.com/blog/kubernetes-logging-and-monitoring-explained

Some of the world's best cloud talent is assembling in an unlikely place: Apple
- Michael Crosby, one of a handful of ex-Docker engineers to join Apple this year. "Michael is who we can thank for containers as they exist today. He was the powerhouse engineer behind all of it," said a former colleague who asked to remain anonymous.
- Arun Gupta, who joined Apple in February from AWS and is now leading Apple's open-source efforts.
- Maksym Pavlenko, another former AWS employee who worked on its managed container services such as AWS Fargate.
- Francesc Campoy, an ex-Googler who will be working on Kubernetes for Apple.
https://www.protocol.com/apple-hires-cloud-open-source-engineers

Ask HN: Is your company sticking to on-premise servers? Why? (Score: 104+ in 12 hours) Link: https://readhacker.news/c/4muTr I've been managing servers for quite some time now. At home, on prem, in the cloud... The more I learn, the more I believe cloud is the only competitive solution today, even for sensitive industries like banking or medical. I honestly fail to see any good reason not to use the cloud anymore, at least for business. Cost-wise, security-wise, whatever-wise. What's a good reason to stick to on-prem today for new projects? To be clear, this is not some troll question. I'm curious: am I missing something?

Istio telemetry V2 (Mixerless) deep dive https://banzaicloud.com/blog/istio-mixerless-telemetry

Please don’t evict my pod; priority & disruption budget https://itnext.io/please-dont-evict-my-pod-priority-disruption-budget-e099da7b93d2

Istio Service Mesh in 2020: Envoy In, Control Plane Simplified https://blog.alcide.io/istio-service-mesh-in-2020

EKS Service Accounts Explained https://fika.works/blog/eks-service-accounts

Rolling Updates and Blue-Green Deployments with Kubernetes and HAProxy https://www.haproxy.com/blog/rolling-updates-and-blue-green-deployments-with-kubernetes-and-haproxy

Building a Kubernetes-Based Platform: Progressive Delivery, the Edge, and Observability https://www.getambassador.io/resources/building-kubernetes-based-platform

Multicluster-Scheduler and Argo (Workflows and CD): a Deep Dive https://itnext.io/multicluster-scheduler-argo-workflows-across-kubernetes-clusters-ea98016499ca

An (Opinionated) Guide to Understanding Kubernetes Network Architecture https://blog.getambassador.io/a-guide-to-understanding-kubernetes-network-architecture-e5e6fd7c5a2a

Inside Kinvolk Labs: Investigating Kubernetes performance issues with BPF https://kinvolk.io/blog/2020/04/inside-kinvolk-labs-investigating-kubernetes-performance-issues-with-bpf

Simulating Clock Skew in K8s Without Affecting Other Containers on the Node https://pingcap.com/blog/simulating-clock-skew-in-k8s-without-affecting-other-containers-on-node