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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
Больше📈 Аналитический обзор Telegram-канала DevOps & SRE notes
Канал DevOps & SRE notes (@devops_sre_notes) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 12 663 подписчиков, занимая 10 041 место в категории Технологии и приложения и 2 974 место в регионе США.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 12 663 подписчиков.
Согласно последним данным от 12 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 218, а за последние 24 часа — 3, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 16.84%. В первые 24 часа после публикации контент обычно набирает 4.90% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 2 132 просмотров. В течение первых суток публикация набирает 620 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 4.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как kubernete, cluster, author, engineering, monitoring.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“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”
Благодаря высокой частоте обновлений (последние данные получены 13 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.
12 663
Подписчики
+324 часа
+667 дней
+21830 день
Архив постов
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 it’s 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
