DevOps & SRE notes
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📈 Аналитический обзор Telegram-канала DevOps & SRE notes
Канал DevOps & SRE notes (@devops_sre_notes) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 13 286 подписчиков, занимая 9 234 место в категории Технологии и приложения и 2 736 место в регионе США.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 13 286 подписчиков.
Согласно последним данным от 15 сентября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 117, а за последние 24 часа — 6, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 16.72%. В первые 24 часа после публикации контент обычно набирает 4.27% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 2 222 просмотров. В течение первых суток публикация набирает 568 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 9.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как kubernete, cluster, author, engineering, monitoring.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“Helpful articles and tools for DevOps&SRE”
Благодаря высокой частоте обновлений (последние данные получены 16 сентября, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.
13 286
Подписчики
+624 часа
+77 дней
+11730 дней
Архив постов
13 286
A Kubernetes operator designed to intelligently manage resource overcommit on pod resource requests.
https://github.com/InditexTech/k8s-overcommit-operator
13 286
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
13 286
I always use this service before every deployment. I’ve had 100% uptime ever since: https://deploytarot.com/
13 286
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
13 286
A fast, structural YAML diff tool — in a single-dependency binary
https://github.com/szhekpisov/diffyml
13 286
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
13 286
A vault for securely storing and accessing AWS credentials in development environments
https://github.com/ByteNess/aws-vault
13 286
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/
13 286
🛡 Open-source and cloud-native Web Application Firewall (WAF)
https://github.com/bunkerity/bunkerweb
13 286
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
13 286
A command-line tool for Jira workflow management. Quickly select issues, track your current work, and generate consistent branch names.
https://github.com/tutunak/jcli
13 286
Repost from N/a
Agentic CI/CD: Kubernetes Deployment Gates with Elastic MCP Server — Elastic Observability Labs
https://www.elastic.co/observability-labs/blog/agentic-cicd-kubernetes-mcp-server
13 286
From Silos to Service Topology: Why Netflix Built a Real-Time Service Map
https://netflixtechblog.com/from-silos-to-service-topology-why-netflix-built-a-real-time-service-map-0165ba13a7bc
13 286
How GitHub uses eBPF to improve deployment safety
https://github.blog/engineering/infrastructure/how-github-uses-ebpf-to-improve-deployment-safety/
13 286
Repost from N/a
https://www.cncf.io/blog/2026/06/25/building-a-cluster-aware-ai-agent-with-kubernetes-argo-cd-and-gitops/
Practical walkthrough for a self-hosted, read-only cluster AI agent with GitHub Actions, Argo CD Image Updater, and no cluster data leaving the network. Good pattern material for safe “AI assistant inside the cluster” experiments.
13 286
Morgan Stanley presented their journey scaling Flux to manage over 500 clusters and tens of thousands of resources. They detailed their transition from push-based CI/CD pipelines to a pull-based, continuous reconciliation model using Flux to eliminate configuration drift. The article outlines their strategy for handling enterprise-grade security, performance tuning for scale, and adapting architecture (like moving from Git to S3) to meet high availability and compliance needs.
https://fluxcd.io/blog/2026/03/stairway-to-gitops-morgan-stanley/
