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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 744 Technologies & Applications9 532...

📈 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 13 313 subscribers, ranking 9 532 in the Technologies & Applications category and 2 744 in the USA region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 13 313 subscribers.

According to the latest data from 26 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 5 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 15.23%. 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 2 028 views. Within the first day, a publication typically gains 645 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 6.
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 27 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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13 313

Subscribers

-524 hours

-207 days

+530 days

2 028

Post views

~ 64524 hours

~ 79848 hours

15.23%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

13 314

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

13 314

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

13 314

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

13 314

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

13 314

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

13 314

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

13 314

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

13 314

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

13 314

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

13 314

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

13 314

Tailscale had months of reliability problems and eventually traced them into SQLite itself — a bug that had existed for roughly 16 years https://tailscale.com/blog/sqlite-wal-reset-bug

13 314

A vault for securely storing and accessing AWS credentials in development environments https://github.com/ByteNess/aws-vault

13 314

Shell Tricks That Actually Make Life Easier (And Save Your Sanity) https://blog.hofstede.it/shell-tricks-that-actually-make-life-easier-and-save-your-sanity/

13 314

A lightweight AWS service emulator written in Go https://github.com/sivchari/kumo

13 314

https://github.blog/news-insights/company-news/the-august-17-outage-and-the-work-ahead/

13 314

🛡 Open-source and cloud-native Web Application Firewall (WAF) https://github.com/bunkerity/bunkerweb

13 314

The article challenges the traditional "three pillars" of observability (metrics, logs, traces), arguing that they are insufficient for modern, distributed architectures. Through three real-world incident examples at a large financial institution, the author demonstrates that application-level telemetry often fails to reveal actual customer impact. Instead of siloed data, the author advocates for "single threads"—clear, end-to-end distributed traces of individual customer requests—enriched with business context and measured by customer-facing Service Level Objectives (SLOs). https://www.honeycomb.io/blog/you-dont-need-three-pillars-you-need-single-threads