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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
显示更多📈 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 12 681 名订阅者，在 技术与应用 类别中位列第 10 048，并在 美国 地区排名第 2 966 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 12 681 名订阅者。
根据 14 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 6，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 15.90%。内容发布后 24 小时内通常能获得 4.81% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 2 016 次浏览，首日通常累积 610 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 5。
- 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 15 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。
12 681
订阅者
+624 小时
+517 天
+22830 天
帖子存档
12 682
If you like this channel, you can support it. If you don't have an account in DO and what to have a simple cloud platform for development and running your project, you can register here by my referral link, https://m.do.co/c/0f8bec835d26 .
By this link, you get $200 in credit over 60 days.
12 682
The blog post elaborates on scaling Elasticsearch by optimizing the Cluster State, which isn't about the amount of data stored but the metadata's size and rate of change. The post suggests minimizing cluster state size by practices such as avoiding field overuse, distributing data across multiple clusters, and preferring fewer, larger nodes. These adjustments, alongside others like strict mappings and efficient alias usage, contribute to a more manageable and scalable Elasticsearch environment
https://sematext.com/blog/elasticsearch-scaling-cluster-state/
12 682
AWS Reference Platform for Kubernetes + Data Services for use as a starting point in upbound.io to build, run, and operate your own internal cloud platform and offer a self-service console and API to your internal teams.
https://github.com/upbound/platform-ref-aws
12 682
A better kubectl explain with the fuzzy finder
https://github.com/keisku/kubectl-explore
12 682
The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams
https://github.com/ZachGoldberg/Startup-CTO-Handbook
12 682
Optimized and Maintenance-free Kubernetes on Hetzner Cloud in one command!
https://github.com/kube-hetzner/terraform-hcloud-kube-hetzner
12 682
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
https://github.com/ByteByteGoHq/system-design-101
12 682
The article on Depot highlights the introduction of on-demand Dockerfile linting to identify common linting issues, aiming to adhere to best practices for efficient Docker image creation. It lists the top 10 prevalent linting issues observed in Depot, elaborating on each problem and providing solutions to amend them, thus serving as a resource for improving Dockerfile writing practices
https://depot.dev/blog/dockerfile-linting-issues
12 682
A set of modern Grafana dashboards for Kubernetes.
https://github.com/dotdc/grafana-dashboards-kubernetes
12 682
The blog post elucidates the author's journey with Argo Workflows, highlighting its effectiveness for infrastructure automation and its advantage over Jenkins. Through personal experiences, the author shares mistakes made, lessons learned, and certain developed patterns to assist readers in avoiding similar pitfalls. The blog's objective is to impart the acquired knowledge and patterns which are conducive to a more efficient utilization of Argo Workflows
https://hodgkins.io/argo-workflow-proven-patterns-from-production
12 682
Mutating Webhook to dynamically add tolerations based on detected image architectures
https://github.com/PeterGrace/tolerable
12 682
The blog post recounts a real-world scenario where a Kubernetes API was overwhelmed by numerous requests, detailing the troubleshooting process and the implemented solution to stabilize the system. Through creating and deploying FlowSchema and PriorityLevelConfiguration manifests, the authors were able to manage request flows efficiently, thereby restoring and optimizing the Kubernetes cluster's performance
https://blog.palark.com/kubernetes-api-flow-control-management/
12 682
The blog post discusses the application of chaos engineering to intentionally induce failures in distributed systems, aiding in assessing their resilience and improving the observability stack at Coroot. Through simulated network failures, the post explores how such disruptions can be detected in a distributed environment, providing insights into ensuring accurate identification of different failure scenarios
https://coroot.com/blog/chaos-driven-observability-spotting-network-failures
12 682
KrakenD Community Edition: High-performance, stateless, declarative, API Gateway written in Go.
https://github.com/krakend/krakend-ce
12 682
The article delves into how chaos engineering helps in proactively identifying potential system failures in modern cloud applications, thereby averting costly outages. It further elaborates on the application of chaos engineering in security testing, dubbed Security Chaos Engineering (SCE), to ensure systems respond appropriately to common threats by conducting controlled experiments that inject failures into various components like servers and database
https://www.datadoghq.com/blog/chaos-engineering-for-security/
12 682
underlay network and rdma solution of cloud native, for bare metal, VM and public cloud environment
https://github.com/spidernet-io/spiderpool
