Available now! Telegram Research 2025 β the year's key insights 
DevOps & SRE notes
Open in 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
Show moreπ Analytical overview of Telegram channel DevOps & SRE notes
Channel DevOps & SRE notes (@devops_sre_notes) in the English language segment is an active participant. Currently, the community unites 12 663 subscribers, ranking 10 041 in the Technologies & Applications category and 2 974 in the USA region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 12 663 subscribers.
According to the latest data from 12 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 218 over the last 30 days and by 3 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 16.84%. Within the first 24 hours after publication, content typically collects 4.90% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 132 views. Within the first day, a publication typically gains 620 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
- Thematic interests: Content is focused on key topics such as kubernete, cluster, author, engineering, monitoring.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βHelpful 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-02-19β
Thanks to the high frequency of updates (latest data received on 13 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
12 663
Subscribers
+324 hours
+667 days
+21830 days
Posts Archive
12 660
Securing Kubernetes clusters requires understanding both offensive and defensive strategies. This article by Ridho Adya explores the various attack vectors and defense mechanisms for Kubernetes environments. Learn how to identify vulnerabilities, execute common attack techniques, and implement best practices for defending your Kubernetes clusters against potential threats.
https://medium.com/@ridhoadya/unveiling-the-battlefield-attacking-and-defending-kubernetes-clusters-9702cdbe941a
12 660
DNS issues can be particularly troublesome when using NGINX as a reverse proxy. This article by Hwchiu on Medium addresses common DNS-related problems encountered in NGINX reverse proxy setups, explaining the root causes and offering solutions to resolve them. Learn about configuration tips, troubleshooting steps, and best practices to ensure reliable DNS resolution in your NGINX reverse proxy deployments.
https://hwchiu.medium.com/nginx-reverse-proxy-dns-issue-671d911dc5fa
12 660
Kubernetes can offer tremendous benefits, but it's not without its challenges. This article from Encore shares real-world "horror stories" from Kubernetes environments, highlighting common mistakes and pitfalls teams have faced. Through these cautionary tales, learn how to avoid misconfigurations, optimize cluster performance, and prevent operational disasters in your own Kubernetes deployments.
https://encore.dev/blog/horror-stories-k8s
12 660
Running GPU-accelerated workloads, especially large language models (LLMs), on Amazon EKS can significantly enhance performance for AI and machine learning applications. This article from Prodigy Engineering explains how to configure and manage GPU-accelerated workloads on EKS. Learn about the necessary steps, best practices, and challenges involved in optimizing Kubernetes clusters to run GPU-intensive tasks efficiently.
https://medium.com/prodigy-engineering/running-gpu-accelerated-llm-workloads-on-eks-9928c07d30ea
12 660
Kubernetes tool for scanning clusters for network policies and identifying unprotected workloads.
https://github.com/deggja/netfetch
12 660
Friendly and fast tool for sending HTTP requests
https://github.com/ducaale/xh
12 660
Security training is a fundamental part of maintaining a secure and resilient organization. This article from PagerDuty outlines their approach to security training, detailing how they empower employees to recognize and mitigate security threats. Learn about the key components of their security training program, including best practices, ongoing education, and the importance of fostering a security-conscious culture across the company.
https://www.pagerduty.com/blog/security-training-at-pagerduty/
12 660
Kubernetes-native security toolkit
https://github.com/aquasecurity/trivy-operator
12 660
Upgrading AWS EKS clusters can be complex, but using a blue-green deployment strategy can make the process more seamless and reduce downtime. This article from OneFootball Locker Room explains how to optimize EKS cluster upgrades using the blue-green tactic. Learn how this approach ensures smooth transitions between cluster versions, minimizes risk, and maintains high availability during the upgrade process.
https://medium.com/onefootball-locker-room/from-blue-to-green-optimizing-aws-eks-clusters-upgrade-with-blue-green-tactic-2ee7c4920755
12 660
A modern replacement for ps written in Rust
https://github.com/dalance/procs
12 660
Policy enforcement is critical in Kubernetes environments to ensure security and compliance. This article by Javier Canizalez explains how to use Gatekeeper to restrict the
kubectl exec command, enhancing security by preventing unauthorized access to running containers. Learn about the steps to configure Gatekeeper for policy enforcement and how to restrict potentially dangerous operations within your Kubernetes clusters.
https://medium.com/@javier-canizalez/policy-enforcement-in-kubernetes-restricting-kubectl-exec-with-gatekeeper-7e99823465c912 660
The video covers data agility, focusing on the challenges of building large-scale data systems. Martin Kleppmann discusses the complexity of integrating multiple components like databases, caches, search engines, and graph systems. He introduces event streams and systems like Kafka and Samza as solutions to improve scalability and reduce complexity by processing data in a unified, ordered log. Kleppmann emphasizes loose coupling of components, event-driven architectures, and stream processing to achieve a more scalable and maintainable system.
https://www.youtube.com/watch?v=b_H4FFE3wP0
12 660
Kyverno and Gatekeeper are two popular tools for policy management in Kubernetes, but each has its unique strengths. In this article, Glen Yu explains why he prefers Kyverno over Gatekeeper for Kubernetes-native policy management. The article covers the ease of use, integration capabilities, and flexibility of Kyverno, and why itβs often a better fit for Kubernetes environments looking for simpler and more powerful policy enforcement.
https://medium.com/@glen.yu/why-i-prefer-kyverno-over-gatekeeper-for-native-kubernetes-policy-management-35a05bb94964
12 660
Autonomous cost optimization in Kubernetes is essential for managing cloud resources efficiently without compromising performance. This article from StormForge introduces autonomous cost optimization, explaining how machine learning and automation can be applied to Kubernetes clusters to reduce costs. Learn how to optimize resource usage, balance workloads, and save on cloud expenses while maintaining system performance.
https://stormforge.io/blog/intro-autonomous-cost-optimization-kubernetes
