DevOps & SRE notes
📈 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 13 286 subscribers, ranking 9 234 in the Technologies & Applications category and 2 736 in the USA region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 13 286 subscribers.
According to the latest data from 15 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 117 over the last 30 days and by 6 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 16.72%. Within the first 24 hours after publication, content typically collects 4.27% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 222 views. Within the first day, a publication typically gains 568 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 9.
- 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”
Thanks to the high frequency of updates (latest data received on 16 September, 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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| Date | Subscriber Growth | Mentions | Channels | |
| 16 September | 0 | |||
| 15 September | +9 | |||
| 14 September | +6 | |||
| 13 September | +5 | |||
| 12 September | +1 | |||
| 11 September | +3 | |||
| 10 September | +5 | |||
| 09 September | +5 | |||
| 08 September | +5 | |||
| 07 September | +6 | |||
| 06 September | +6 | |||
| 05 September | 0 | |||
| 04 September | +8 | |||
| 03 September | +6 | |||
| 02 September | +7 | |||
| 01 September | +6 |
| 2 | Generate jsonschemas from helm charts.
https://github.com/dadav/helm-schema | 809 |
| 3 | I always use this service before every deployment. I’ve had 100% uptime ever since: https://deploytarot.com/ | 1 148 |
| 4 | 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 | 1 325 |
| 5 | A fast, structural YAML diff tool — in a single-dependency binary
https://github.com/szhekpisov/diffyml | 1 487 |
| 6 | 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 | 1 733 |
| 7 | A vault for securely storing and accessing AWS credentials in development environments
https://github.com/ByteNess/aws-vault | 2 062 |
| 8 | 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/ | 2 142 |
| 9 | A lightweight AWS service emulator written in Go
https://github.com/sivchari/kumo | 2 313 |
| 10 | No text... | 2 432 |
| 11 | https://github.blog/news-insights/company-news/the-august-17-outage-and-the-work-ahead/ | 2 353 |
| 12 | 🛡 Open-source and cloud-native Web Application Firewall (WAF)
https://github.com/bunkerity/bunkerweb | 2 523 |
| 13 | 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 | 2 605 |
| 14 | 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 | 2 488 |
| 15 | 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 | 2 453 |
| 16 | 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 | 2 563 |
| 17 | How GitHub uses eBPF to improve deployment safety
https://github.blog/engineering/infrastructure/how-github-uses-ebpf-to-improve-deployment-safety/ | 2 656 |
| 18 | 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. | 2 796 |
| 19 | 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/ | 3 051 |
| 20 | Trusted builds made easy! A cloud-native software factory for building, testing, and releasing trusted software artifacts
Konflux is an open-source, Kubernetes-native CI/CD platform that manages the full software delivery lifecycle for software artifacts — with supply chain trust built in from the start. Built on Tekton and the Conforma policy framework, it brings together best-in-class open source projects into a single, integrated software factory. Managed by a Kubernetes operator, Konflux runs on Kind, OpenShift, and any conformant Kubernetes cluster.
https://github.com/konflux-ci/konflux-ci | 2 808 |
