en
Feedback
DevOps & SRE notes

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 more

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
Logging operator for Kubernetes https://github.com/kube-logging/logging-operator

Tools for building Kubernetes disk images https://github.com/kubernetes-sigs/image-builder

In this article, you'll explore the complexities of Kubernetes network management, iptables, and port forwarding and discover how Kubernetes hides service ports from traditional tools like netstat. https://journal.hexmos.com/kube-network/

🦭 Run and operate MariaDB in a cloud native way https://github.com/mariadb-operator/mariadb-operator

Open-source observability for microservices. Thanks to eBPF you can gain comprehensive insights into your system within minutes. https://github.com/coroot/coroot

The article by Luca Cavallin titled "barco: Linux Containers From Scratch in C" is a comprehensive guide on creating a simple container runtime in C. It focuses on utilizing Linux kernel features like namespaces, seccomp, capabilities, and cgroups. The project, named 'barco', serves as a learning tool for understanding containerization in Linux and is not intended for production use. The article also details the development process, including the environment setup and the structure of the C project. https://www.lucavall.in/barco-linux-containers-from-scratch-in-c

Self-hosted Jira - RIP. Support for Server products ended on Feb. 15, 2024 Server products and apps no longer receive technical support, security updates, and bug fixes for vulnerabilities. https://www.atlassian.com/migration/assess/journey-to-cloud

This driver allows Kubernetes to access NFS server on Linux node. https://github.com/kubernetes-csi/csi-driver-nfs

m9sweeper is a free and easy kubernetes security platform. https://github.com/m9sweeper/m9sweeper

Watches k8s cluster events and logs them to stdout in JSON https://github.com/max-rocket-internet/k8s-event-logger

https://nateb.xyz/a/self-managed-kubernetes The article by Nate Buckareff on "Self-Managed Kubernetes" is a detailed tutorial on setting up a self-managed Kubernetes cluster using QEMU, a Linux virtual machine environment. It covers steps like setting up a local test environment, creating virtual network interfaces, bootstrapping nodes, and installing Kubernetes with k0s. The guide also addresses network configurations using dnsmasq and iptables, and emphasizes the importance of understanding Kubernetes intricacies for successful self-management.

πŸ¦₯ Easy and simple Prometheus SLO (service level objectives) generator https://github.com/slok/sloth

zot - A production-ready vendor-neutral OCI-native container image registry (purely based on OCI Distribution Specification) https://github.com/project-zot/zot

Define sleep & wake up cycles for your Kubernetes resources. Automatically schedule to shutdown Deployments, CronJobs, StatefulSets and HorizontalPodAutoscalers that occupy resources in your cluster and wake them up only when you need them, reducing that way the overall power consumption. https://github.com/rekuberate-io/sleepcycles

https://povilasv.me/how-to-monitor-kubelet/ The article on Povilas Versockas' blog provides a comprehensive guide on monitoring Kubelet, a key component in Kubernetes. It explains Kubelet's role in managing pods and nodes, details its operation, and discusses how to monitor it effectively using methods like the RED approach. The article also outlines the Kubernetes Service Level Objectives for Kubelet and introduces the Kubernetes Monitoring Mixin, which includes a dashboard and alerts for monitoring Kubelet. This resource is particularly useful for those looking to understand and improve their monitoring of Kubelet in a Kubernetes environment.

A kubectl plugin to visualize network policies rules. https://github.com/runoncloud/kubectl-np-viewer

Kepler (Kubernetes-based Efficient Power Level Exporter) uses eBPF to probe performance counters and other system stats, use ML models to estimate workload energy consumption based on these stats, and exports them as Prometheus metrics https://github.com/sustainable-computing-io/kepler

DevOps & SRE notes - Statistics & analytics of Telegram channel @devops_sre_notes