DevOps & SRE notes

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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

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США2 966 Технологии и приложения10 048...

📈 Аналитический обзор Telegram-канала DevOps & SRE notes

Канал DevOps & SRE notes (@devops_sre_notes) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 12 681 подписчиков, занимая 10 048 место в категории Технологии и приложения и 2 966 место в регионе США.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 12 681 подписчиков.

Согласно последним данным от 14 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 228, а за последние 24 часа — 6, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 15.90%. В первые 24 часа после публикации контент обычно набирает 4.81% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 2 016 просмотров. В течение первых суток публикация набирает 610 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 5.
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 15 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.

12 681

Подписчики

+624 часа

+517 дней

+22830 день

2 016

Просмотры поста

~ 61024 часа

~ 76448 часов

15.90%

Коэффициент вовлеченности

Нет данных

Постов в день

Ads index

beta

Архив постов

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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.

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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/

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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

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A better kubectl explain with the fuzzy finder https://github.com/keisku/kubectl-explore

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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

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Optimized and Maintenance-free Kubernetes on Hetzner Cloud in one command! https://github.com/kube-hetzner/terraform-hcloud-kube-hetzner

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Explain complex systems using visuals and simple terms. Help you prepare for system design interviews. https://github.com/ByteByteGoHq/system-design-101

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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

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A set of modern Grafana dashboards for Kubernetes. https://github.com/dotdc/grafana-dashboards-kubernetes

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Local Volume CSI Provisioner for K8S https://github.com/Protryon/lvp

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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

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Mutating Webhook to dynamically add tolerations based on detected image architectures https://github.com/PeterGrace/tolerable

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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/

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Self-hosted AI coding assistant https://github.com/TabbyML/tabby

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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

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A security layer for Git repositories https://github.com/gittuf/gittuf

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KrakenD Community Edition: High-performance, stateless, declarative, API Gateway written in Go. https://github.com/krakend/krakend-ce

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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/

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underlay network and rdma solution of cloud native, for bare metal, VM and public cloud environment https://github.com/spidernet-io/spiderpool