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DevOps & SRE notes

DevOps & SRE notes

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

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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 13 332 subscribers, ranking 9 202 in the Technologies & Applications category and 2 711 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 13 332 subscribers.

According to the latest data from 05 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 47 over the last 30 days and by 2 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 16.21%. Within the first 24 hours after publication, content typically collects 4.46% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 161 views. Within the first day, a publication typically gains 594 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 youtube: https://www.youtube.com/@DevOpsAndSRENotes”

Thanks to the high frequency of updates (latest data received on 06 October, 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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13 332
Subscribers
+224 hours
+117 days
+4730 days
Posts Archive

Realtime log viewer with web UI, tail -f for logs with a web interface browser. https://github.com/logdyhq/logdy-core

Securing every Kubernetes workload at scale β€” LinkedIn Engineering https://www.linkedin.com/blog/engineering/infrastructure/securing-every-kubernetes-workload-at-scale

Validate environment variable usage in codebase https://github.com/Chrilleweb/dotenv-diff

Failure is inevitable: Learning from a large outage, and building for reliability in depth at Datadog β€” Datadog Engineering https://www.datadoghq.com/blog/engineering/rethinking-reliability/

A Kubernetes operator designed to intelligently manage resource overcommit on pod resource requests. https://github.com/InditexTech/k8s-overcommit-operator

A practical guide to building a local multi-cluster platform engineering lab with vind, Sveltos, and Argo CD. It covers GitOps, label-based deployments, drift correction, and the networking issues you’ll encounter along the way. https://itnext.io/local-platform-engineering-on-your-laptop-vind-sveltos-and-argocd-2b3e1341ebe7

Generate jsonschemas from helm charts. https://github.com/dadav/helm-schema

I always use this service before every deployment. I’ve had 100% uptime ever since: https://deploytarot.com/

Mercado Libre runs its observability platform, O11y events, on ClickHouse Cloud to answer granular, business-level questions like why a specific payment failed. The team built O11y events to take troubleshooting from days to minutes, with full business-flow visibility and high-cardinality filtering on identifiers like payment and user IDs. Migrating to ClickHouse Cloud increased query performance by 50x and delivered up to 89% data compression, enabling them to scale from 7 million spans per minute to 400 million and growing in ClickHouse. https://clickhouse.com/blog/mercado-libre-observability-on-clickhouse-cloud

A fast, structural YAML diff tool β€” in a single-dependency binary https://github.com/szhekpisov/diffyml