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DevOps & SRE notes

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Helpful articles and tools for DevOps&SRE youtube: https://www.youtube.com/@DevOpsAndSRENotes

USA2 719Technologies & Applications9 501...

📈 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 13 297 subscribers, ranking 9 501 in the Technologies & Applications category and 2 719 in the USA region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 13 297 subscribers.

According to the latest data from 05 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -40 over the last 30 days and by 5 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 15.47%. Within the first 24 hours after publication, content typically collects 4.80% reactions from the total number of subscribers.
Post reach: On average, each post receives 2 056 views. Within the first day, a publication typically gains 638 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 11.
Thematic interests: Content is focused on key topics such as kubernete, cluster, author, engineering, monitoring.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Helpful articles and tools for DevOps&SRE youtube: https://www.youtube.com/@DevOpsAndSRENotes”

Thanks to the high frequency of updates (latest data received on 06 November, 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.

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13 297

Subscribers

+524 hours

+67 days

-4030 days

2 056

Post views

~ 63824 hours

~ 79448 hours

15.47%

Engagement rate

No data

Posts per day

Ads index

Posts Archive

13 296

kubectl foreach is a command-line tool that enables running kubectl commands on one or more contexts (clusters) in parallel. Users can match context names from kubeconfig using patterns such as exact names and regular expressions. The tool offers options for limiting parallel executions, disabling confirmation prompts, and replacing values in kubectl arguments with context names. kubectl foreach can be installed using Krew kubectl plugin manager and used to query pods and run commands on multiple contexts at the same time. The tool is not intended for deploying workloads to clusters or using programmatically yet. https://github.com/ahmetb/kubectl-foreach

13 296

The article discusses how to use eBPF (extended Berkeley Packet Filter) to collect telemetry data from a service without code changes and without requesting engineering efforts. eBPF provides the ability to execute programs on the Operational System Kernel, extending the OS capabilities and leveraging the kernel's privileged ability to control the system. The author explains how to use Pixie, an open-source observability solution for Kubernetes applications that uses eBPF to collect telemetry data automatically. Pixie offers features such as network monitoring, database query profiling, continuous application profiling, and Kafka monitoring. However, Pixie has two drawbacks, long-term data retention, and a lack of support for ARM architectures. The article concludes by suggesting other tools that offer similar features to Pixie, such as Cilium Hubble. https://itnext.io/observability-strategies-to-not-overload-engineering-teams-ebpf-b034b26d7f1d

13 296

Good article about scaning vulnerabilities https://semaphoreci.com/blog/govulncheck

13 296

Continuous profiling for Python applications https://medium.com/@martin.heinz/boost-your-python-application-performance-using-continuous-profiling-7eb993e68d23

13 296

The immutable Linux meta-distribution for edge Kubernetes. https://github.com/kairos-io/kairos

13 296

Never forget about security in your cluster https://medium.com/@badawekoo/harden-kubernetes-cluster-with-pod-and-container-security-contexts-119639dbb6ce

13 296

Linkedin engineering team's article about autoscaling builds https://engineering.linkedin.com/blog/2023/scaling-autobuild--our-journey-towards-delivering-an-enhanced-cu

13 296

Guy share the company experience about building Infrastructure platform with k8s https://betterprogramming.pub/how-we-built-an-infrastructure-platform-on-top-of-kubernetes-a39e67d85680

13 296

All we know that "at least privileges model" one of the most important parts the security. But why people still struggle with it? https://sysdig.com/blog/identity-access-management-difficult-cloud/

13 296

Good article about Cgroups in Linux https://towardsdatascience.com/the-power-of-linux-cgroups-how-containers-take-control-of-their-resources-ba564fef13b0

13 296

Thoughts about using Alpine Linux https://betterprogramming.pub/why-i-will-never-use-alpine-linux-ever-again-a324fd0cbfd6

13 296

Network mapping could help you with debug problems and understand real network interaction between your microservices. So this implementation with Grafana https://betterprogramming.pub/improve-cluster-monitoring-with-network-mapping-in-grafana-fa8bb479fd47