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DevOps & SRE notes

DevOps & SRE notes

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📈 Аналитический обзор Telegram-канала DevOps & SRE notes

Канал DevOps & SRE notes (@devops_sre_notes) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 13 308 подписчиков, занимая 9 540 место в категории Технологии и приложения и 2 740 место в регионе США.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 13 308 подписчиков.

Согласно последним данным от 28 октября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -9, а за последние 24 часа — 0, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 15.16%. В первые 24 часа после публикации контент обычно набирает 4.85% реакций от общего числа подписчиков.
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  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 5.
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📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
“Helpful articles and tools for DevOps&SRE youtube: https://www.youtube.com/@DevOpsAndSRENotes”

Благодаря высокой частоте обновлений (последние данные получены 29 октября, 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.

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13 308
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-277 дней
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Архив постов
A hybrid command-line/UI development experience for cloud-native development https://github.com/kubernetes-sigs/kui?tab=readme-ov-file

Get notified when actions are taken in the AWS Console. https://github.com/cloudandthings/terraform-aws-clickops-notifier

The insight compiled by Ashish B. serves as a living cheat sheet for common Google Cloud tasks, covering everything from IAM gotchas to cost-saving tricks with gcloud commands. It’s a handy reference for engineers who bounce between cloud providers and need quick recall of GCP specifics. https://ashishb.net/programming/google-cloud/

This entry introduces Talos, a minimal Linux distribution purpose-built for Kubernetes, and explains how its immutable design reduces drift and patching headaches. It walks through the installation flow, cluster bootstrap, and day-two operations from a practitioner’s viewpoint. https://a-cup-of.coffee/blog/talos/

Kubernetes Control Plane Virtual IP and Load-Balancer https://github.com/kube-vip/kube-vip

Distributed, in-memory key/value store and cache. It can be used as an embedded Go library and a language-independent service. https://github.com/olric-data/olric

The publication on Random Tinkering details how to schedule lightweight CronJobs that scrape node-level metrics with Node Exporter and ship them to Prometheus. It balances operational guidance with security considerations, ensuring observability without overloading the control plane. https://randomtinkering.hashnode.dev/how-to-collect-kubernetes-node-metrics-with-node-exporter-using-cronjobs

This story dives into structuring Argo CD repositories with ApplicationSets so that teams can manage dozens of Kubernetes environments from a single source of truth. Clear diagrams and YAML examples make the pattern easy to adopt for both greenfield and legacy clusters. https://medium.com/containers-101/how-to-structure-your-argo-cd-repositories-using-application-sets-1150e75d05b3

Real-time monitoring of Linux process network traffic, including the client IP, port, and transfer speed for each connection. https://github.com/CDWEN0526/tmd-top

Pretty fancy and modern terminal file manager https://github.com/yorukot/superfile

In his overview, Martin Heinz unpacks a recent technical challenge and walks readers through the solution, complete with code snippets and performance benchmarks. The candid narrative emphasizes practical learning and encourages experimentation in everyday development workflows. https://martinheinz.dev/blog/111

The post from Massdriver demonstrates how to generate clean Infrastructure-as-Code configurations from resources that already exist in your cloud accounts. Through step-by-step examples, it shows teams how to regain version control and security compliance without rebuilding everything from scratch. https://www.massdriver.cloud/blogs/generating-infrastructure-as-code-from-existing-cloud-resources

vCluster - Create fully functional virtual Kubernetes clusters - Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it offers better multi-tenancy and isolation than regular namespaces. https://github.com/loft-sh/vcluster?tab=readme-ov-file

Laminar - open-source all-in-one platform for engineering AI products. Create data flywheel for your AI app. Traces, Evals, Datasets, Labels. YC S24. https://github.com/lmnr-ai/lmnr

This piece argues that GitHub’s network effects, developer experience, and strategic acquisitions ultimately cemented its dominance in the code-hosting world. It contrasts competing platforms and offers lessons for toolmakers seeking to build thriving ecosystems. https://blog.gitbutler.com/why-github-actually-won/

The write-up by Overcast explores whether Kubernetes pods are truly evicted because of CPU pressure or if other scheduler nuances are at play. By dissecting eviction events and kubelet metrics, the author equips operators with actionable tips to diagnose and prevent unexpected pod terminations. https://overcast.blog/do-pods-really-get-evicted-due-to-cpu-pressure-2b27274a670c

Effortlessly visualize mod graph with all external dependencies for your Go projects https://github.com/bayraktugrul/modview

Kamaji is the Hosted Control Plane Manager for Kubernetes. https://github.com/clastix/kamaji

In this blogpost the AWS Containers team walks through a real-world scenario, showing how to streamline container deployment pipelines using native AWS tooling and best practices. Readers gain practical guidance on automating builds, scaling workloads, and monitoring production clusters with minimal overhead. https://aws.amazon.com/blogs/containers/16532-2/

This article explains how AWS’s open-source Bottlerocket OS strips away unnecessary components to provide a lean, secure foundation for running containers at scale. It highlights integration benefits with services like EKS and lays out performance, security, and operational gains for cluster operators. https://aws.amazon.com/blogs/containers/benefiting-from-bottlerocket-an-open-source-container-optimized-operating-system/