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DevOps & SRE notes

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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πŸ“ˆ 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 12 681 subscribers, ranking 10 048 in the Technologies & Applications category and 2 966 in the USA region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 12 681 subscribers.

According to the latest data from 14 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 228 over the last 30 days and by 6 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 15.90%. Within the first 24 hours after publication, content typically collects 4.81% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 016 views. Within the first day, a publication typically gains 610 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 5.
  • Thematic interests: Content is focused on key topics such as kubernete, cluster, author, engineering, monitoring.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œHelpful 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”

Thanks to the high frequency of updates (latest data received on 15 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.

12 681
Subscribers
+624 hours
+517 days
+22830 days
Posts Archive
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.

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/

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

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

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

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

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

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

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

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

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

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

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/

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

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

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

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

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/

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