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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 12 668 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 12 668 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。

12 668
订阅者
+324 小时
+667
+21830
帖子存档
A cli that exposes your local resources to kubernetes https://github.com/omrikiei/ktunnel

Private k3s Kubernetes Terraform installer for Hetzner Cloud https://github.com/identiops/terraform-hcloud-k3s

Kubernetes autoscaling is a critical component for managing dynamic workloads efficiently. In the article "Autoscaling in Amazon EKS with Karpenter," StormForge explores how Karpenter, an open-source project, enhances the scalability of Amazon Elastic Kubernetes Service (EKS). The article delves into the features and benefits of Karpenter, highlighting its ability to optimize resource allocation and improve cluster performance. Through practical insights and examples, readers will gain a comprehensive understanding of how to leverage Karpenter for effective autoscaling in their EKS environments. https://www.stormforge.io/kubernetes-autoscaling/eks-karpenter/

#video #timeseries #TSDB Concise and informative introduction to time series databases https://www.youtube.com/watch?v=4Dh6ytwB-no

Blue-green deployments are a powerful strategy for minimizing downtime and ensuring smooth application updates. This comprehensive guide from Cloud Native Daily explains how to implement blue-green deployments using Kubernetes. Learn about the steps, best practices, and tools necessary to achieve seamless transitions between application versions. #Kubernetes #BlueGreenDeployments #CloudNative https://medium.com/cloud-native-daily/blue-green-deployments-with-kubernetes-a-comprehensive-guide-5d196dad1976

Connect your local process and your cloud environment, and run local code in cloud conditions. https://github.com/metalbear-co/mirrord

🛡 Kubernetes Config Syncer (previously kubed) https://github.com/config-syncer/config-syncer

Backing up Amazon EKS clusters is crucial for data protection and disaster recovery. This article from ITNEXT offers a deep dive into Velero, a powerful tool that simplifies EKS backups. Explore how Velero’s features and functionalities make it easy to safeguard your Kubernetes workloads, ensuring data integrity and quick recovery. #EKS #KubernetesBackup #Velero https://itnext.io/eks-backup-simplified-a-deep-dive-into-veleros-magic-48f45b4b3173

The blogpost examines the advantages and challenges of running databases within Kubernetes environments. The author discusses the potential benefits such as scalability, flexibility, and ease of management, while also addressing the complexities and risks involved, including performance issues and data persistence concerns. By providing a balanced analysis, the article helps readers make informed decisions about deploying databases in Kubernetes. This insightful piece is essential for DevOps engineers and database administrators considering Kubernetes for their database solutions. https://medium.com/@fengruohang/database-in-kubernetes-is-that-a-good-idea-daf5775b5c1f

The blogpost explores the nuances and potential pitfalls of administrative privileges within IT systems. The piece delves into scenarios where users with admin rights may not have full control or understanding of their permissions, leading to security vulnerabilities and operational challenges. By examining these complexities, the article underscores the importance of clear and precise privilege management. This insightful read is particularly valuable for IT professionals and system administrators seeking to enhance security and efficiency in their environments. https://raesene.github.io/blog/2024/01/06/when-is-admin-not-admin/

A Kubernetes controller to watch ingresses and create liveness alerts for your apps/microservices in UptimeRobot, StatusCake, Pingdom, etc. – [✩Star] if you're using it! https://github.com/stakater/IngressMonitorController

Hunt for security weaknesses in Kubernetes clusters https://github.com/aquasecurity/kube-hunter

In the blogpost the author delves into the vulnerabilities associated with Kubernetes webhooks. The article explains how attackers can exploit these entry points to gain unauthorized access and control over Kubernetes clusters. It provides an in-depth analysis of common attack vectors and offers practical advice on securing webhooks to mitigate potential risks. This comprehensive guide is essential for Kubernetes administrators and security professionals aiming to fortify their clusters against malicious threats. https://security.padok.fr/en/blog/kubernetes-webhook-attackers

In the article the author challenges the current paradigms of Infrastructure as Code (IaC) and argues for a more evolved approach. The author highlights the limitations and complexities associated with traditional IaC practices, emphasizing the need for tools and methodologies that can better address the dynamic nature of modern cloud environments. By rethinking IaC, the article proposes strategies to improve infrastructure management, enhance scalability, and reduce operational overhead. This thought-provoking piece is essential reading for DevOps professionals and cloud architects aiming to refine their infrastructure practices. https://medium.com/@hello_9187/infrastructure-as-code-needs-a-rethink-201c6875522c

🚀 Expose the website directly into the internet! The Kuberntes Ingress Controller based on Cloudflare Tunnel. https://github.com/STRRL/cloudflare-tunnel-ingress-controller

A declarative Kubernetes dashboard in your terminal https://github.com/everettraven/buoy

In the article the author presents an innovative approach to managing Kubernetes Horizontal Pod Autoscaling (HPA). The author demonstrates how to leverage Google Calendar events to dynamically adjust the scaling of Kubernetes pods, ensuring optimal resource utilization based on anticipated demand. This creative integration of scheduling and infrastructure management showcases the potential for automating complex workflows using readily available tools. The article provides valuable insights and practical steps for DevOps professionals looking to enhance their scaling strategies with event-driven automation. https://tkachuk09.medium.com/kubernetes-hpa-based-on-events-in-google-calendar-2f3dcfb75bf2

In the article the Real Kinetic team explores the challenges and limitations of using Terraform for infrastructure management in modern cloud environments. The authors argue that as cloud infrastructure evolves, Terraform's approach may no longer meet the demands of scalability, flexibility, and efficiency required by contemporary DevOps practices. They discuss the need for more dynamic and adaptive tools that can better handle the complexities of current cloud-native applications. This article is a thought-provoking read for those considering the future of their infrastructure management strategies and the potential need for new solutions. https://blog.realkinetic.com/its-time-to-retire-terraform-30545fd5f186

cdebug - a swiss army knife of container debugging https://github.com/iximiuz/cdebug

2024 Kubernetes Cost Benchmark Report Analyzing the gap between CPUs and memory provisioned versus utilized for Kubernetes clusters, and the impact it is having on cloud costs.