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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 12 657 subscribers, ranking 10 047 in the Technologies & Applications category and 2 979 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 12 657 subscribers.

According to the latest data from 10 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 217 over the last 30 days and by 3 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 18.62%. Within the first 24 hours after publication, content typically collects 4.84% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 354 views. Within the first day, a publication typically gains 612 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
  • 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 11 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.

12 657
Subscribers
+324 hours
+487 days
+21730 days
Posts Archive
In the article "Run security scans on Terraform and OpenTofu projects with Trivy and GitHub Actions," the author provides a hands-on tutorial on integrating security scans into infrastructure-as-code (IaC) workflows using Trivy and GitHub Actions. https://janik6n.net/posts/run-security-scans-on-terraform-and-opentofu-project-with-trivy-and-github-actions/

Find directories where changed terraform_remote_state data source is used https://github.com/suzuki-shunsuke/tfrstate

An extensible framework for application-level data management on Kubernetes, Kanister is a Cloud Native Computing Foundation sandbox project and was originally created by the Veeam Kasten team. https://github.com/kanisterio/kanister

In his article "Kubernetes CRD: the versioning joy," Joel Takvorian shares the challenges encountered while evolving the CustomResourceDefinition (CRD) versions for the Network Observability operator. https://dev.to/jotak/kubernetes-crd-the-versioning-joy-6g0

Automate Kubernetes Configuration Editing https://github.com/kptdev/kpt

Intelligence for Kubernetes. World's most promising Kubernetes Visualization Tool for Developer and Platform Engineering teams. https://github.com/KusionStack/karpor

In the article "The Karpenter Transformation," Nadav Buchman from Fiverr Engineering discusses the company's migration of their Kubernetes compute nodes to Karpenter, an open-source Kubernetes node lifecycle manager developed by AWS. https://medium.com/fiverr-engineering/the-karpenter-transformation-1c278294bd9b

In December 2024, AWS introduced a visual deployment timeline feature for CloudFormation, enhancing the infrastructure-as-code service with real-time visualization of resource provisioning sequences. This timeline offers a graphical representation of the order and duration of resource deployments, providing insights into dependencies and potential bottlenecks. https://www.infoq.com/news/2024/12/cloudformation-visual-deployment/

NVIDIA device plugin for Kubernetes https://github.com/NVIDIA/k8s-device-plugin

Local development for AWS Lambda's and Terraform https://github.com/uatec/teleform

In the article discusses the challenges of maintaining Service Level Objectives (SLOs) in a microservices environment. The team redefined their Critical User Journeys (CUJs) and implemented end-to-end (E2E) testing to automate SLO maintenance, resulting in a 99% reduction in maintenance time and immediate impact assessment during incidents. https://engineering.mercari.com/en/blog/entry/20241204-keeping-user-journey-slos-up-to-date-with-e2e-testing-in-a-microservices-architecture/

Lawrence Jones discusses the challenges of ensuring that an incident management system can alert its own team during outages. https://incident.io/hubs/building-on-call/who-watches-the-watchers

Chaos snake for Kubernetes. Chaos engineering combined with a classic snake game. https://github.com/deggja/chaossnake

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

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In this article "Solutions to the Lost Update Problem," SΓΆnke Ruempler addresses the challenges of concurrent transactions leading to lost updates in database systems. https://ruempler.eu/2024/11/25/solutions-to-the-lost-update-problem/

In the blogpost examined how increasing CPU utilization can lead to higher latency, affecting overall system performance. Through various experiments, they observed that as CPU usage rises, latency increases, highlighting the importance of optimizing system efficiency to maintain performance under varying loads. ξˆ€citeξˆ‚turn0search0 https://github.blog/engineering/architecture-optimization/breaking-down-cpu-speed-how-utilization-impacts-performance/

Runbook automation platform with deep observability integrations for SRE & On-Call Teams https://github.com/DrDroidLab/playbooks

The mighty, self-hostable Git server for the command line🍦 https://github.com/charmbracelet/soft-serve

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