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
显示更多📈 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 19 865 名订阅者,在 技术与应用 类别中位列第 6 619,并在 俄罗斯 地区排名第 33 096 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 19 865 名订阅者。
根据 31 十月, 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 -16,过去 24 小时变化为 -2,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 13.29%。内容发布后 24 小时内通常能获得 6.74% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 2 641 次浏览,首日通常累积 1 339 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 01 十一月, 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。
19 865
订阅者
-224 小时
-257 天
-1630 天
帖子存档
19 864
Load Testing with Impulse at Airbnb
Comprehensive Load Testing with Load Generator, Dependency Mocker, Traffic Collector, and Morehttps://medium.com/airbnb-engineering/load-testing-with-impulse-at-airbnb-f466874d03d2
19 864
Understanding the Circuit Breaker: A Key Design Pattern for Resilient Systems
The Circuit Breaker Pattern is a key design pattern for building resilient systems by preventing cascading failures and ensuring graceful degradation.https://dzone.com/articles/circuit-breaker-pattern-resilient-systems
19 864
kpatch
kpatch is a Linux dynamic kernel patching infrastructure which allows you to patch a running kernel without rebooting or restarting any processes. It enables sysadmins to apply critical security patches to the kernel immediately, without having to wait for long-running tasks to complete, for users to log off, or for scheduled reboot windows. It gives more control over uptime without sacrificing security or stability.https://github.com/dynup/kpatch
19 864
Argo Rollouts — Canary Deployment with Istio
https://medium.chuklee.com/argo-rollouts-canary-deployment-with-istio-b432bc141ba9
19 864
Demystifying Swap in Kubernetes: A Handbook for DevOps Engineers
https://medium.com/@robertbotez/demystifying-swap-in-kubernetes-a-handbook-for-devops-engineers-e5ef934593e3
19 864
Why Every Platform Engineer Should Care About Kubernetes Operators
https://www.pulumi.com/blog/why-every-platform-engineer-should-care-about-kubernetes-operators
19 864
Load Balancing gRPC traffic with Istio
https://dev.to/visepol/load-balancing-grpc-traffic-with-istio-1k49
19 864
How Kubernetes HPA Decides Which Pod to Terminate When Scaling Down
https://medium.com/@AlexanderObregon/how-kubernetes-hpa-decides-which-pod-to-terminate-when-scaling-down-6675ebbdf56f
19 864
GKE Cost Cutting — Three Key Lookout Points to view your Potential Savings
https://medium.com/google-cloud/gke-cost-cutting-three-key-lookout-points-to-view-your-potential-savings-10f271dc4fa9
19 864
Can Configuration Languages (config DSLs) solve configuration complexity?
https://itnext.io/can-configuration-languages-dsls-solve-configuration-complexity-eee8f124e13a
19 864
Operational Considerations for Managing Stateful Workloads
When managing stateful workloads, whether in Kubernetes or traditional infrastructure, operational concerns like isolation, lifecycle management, security, disaster recovery, scalability, and observability take center stage. While the examples focus on AWS, PostgreSQL, and Kubernetes, the principles and best practices discussed here are broadly applicable to any environment. This article approaches these topics from an operations perspective, prioritizing reliability, maintainability, and resilience. The goal is not just to run a database, but to ensure it operates efficiently, scales properly, and remains secure in real-world conditions. We’ll explore key aspects of running stateful workloads, from managing failure domains to ensuring observability, and how these impact both operations teams and developers. Whether you’re running a database in a cloud-native setup or on bare metal, these strategies will help you build a robust, well-managed system.https://dev.to/pampatzoglou/operational-considerations-for-managing-stateful-workloads-20c3
19 864
FacetController: How we made infrastructure changes at Lyft simple
https://eng.lyft.com/facetcontroller-how-we-made-infrastructure-changes-at-lyft-simple-dab49f5b27c7
19 864
Why Our Pods Were Breaking Bad (and How We Fixed Them)
In this article, we’ll walk through the process of diagnosing a memory leak, analyzing the root cause, and implementing effective solutions to mitigate its impact. We’ll explore practical steps that any application, regardless of the underlying stack or architecture, can follow to troubleshoot and optimize performance.https://kshitij-nawandar.medium.com/why-our-pods-were-breaking-bad-and-how-we-fixed-them-b3c3e9e8003b
19 864
How We Integrated Native macOS Workloads with Kubernetes
https://medium.com/agoda-engineering/how-we-integrated-native-macos-workloads-with-kubernetes-b4d3c14881a0
19 864
How We Migrated 30+ Kubernetes Clusters to Terraform
https://medium.com/learnings-from-the-paas/how-we-migrated-30-kubernetes-clusters-to-terraform-cd2b1cef8b84
19 864
canine
Canine is an easy to use intuitive deployment platform for Kubernetes clusters.https://github.com/czhu12/canine
19 864
lstr
A blazingly fast, minimalist directory tree viewer, written in Rust. Inspired by the command line program tree, with a powerful interactive mode.https://github.com/bgreenwell/lstr
19 864
Staying on Nix
I have been using Nix regularly since roughly 2019, when I set up my primary build server to use Nix to manage the various toolchains, though it wasn't until 2022 that I really invested heavily, and I'm now using Nix in combination with other more traditional DevOps tools to provision and manage more than 10 physical machines and 50 VMs in my homelab.https://pid1.sh/blog/staying-on-nix
19 864
Moving on from Nix
After using nix in my dotfiles for over 2 years, I’m now moving away from it. Here’s why.https://carlosbecker.com/posts/bye-nix
19 864
pgrwl
pgrwl is a PostgreSQL write-ahead log (WAL) receiver written in Go. It’s a drop-in, container-friendly alternative to pg_receivewal, supporting streaming replication, encryption, compression, and remote storage (S3, SFTP). Designed for disaster recovery and PITR (Point-in-Time Recovery), pgrwl ensures zero data loss (RPO=0) and seamless integration with Kubernetes environments.https://github.com/hashmap-kz/pgrwl
