DevOps & SRE notes
前往频道在 Telegram
📈 Telegram 频道 DevOps & SRE notes 的分析概览
频道 DevOps & SRE notes (@devops_sre_notes) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 13 286 名订阅者,在 技术与应用 类别中位列第 9 234,并在 美国 地区排名第 2 736 位。
📊 受众指标与增长动态
自 невідомо 创建以来,项目保持高速增长,吸引了 13 286 名订阅者。
根据 15 九月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 117,过去 24 小时变化为 6,整体触达仍然可观。
- 认证状态: 未认证
- 互动率 (ER): 平均受众互动率为 16.72%。内容发布后 24 小时内通常能获得 4.27% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 2 222 次浏览,首日通常累积 568 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 9。
- 主题关注点: 内容集中在 kubernete, cluster, author, engineering, monitoring 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台:
“Helpful articles and tools for DevOps&SRE”
凭借高频更新(最新数据采集于 16 九月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。
13 286
订阅者
+624 小时
+77 天
+11730 天
数据加载中...
相似频道
标签云
进出提及
---
---
---
---
---
---
吸引订阅者
九月 '26
九月 '26
+78
在0个频道中
八月 '26
+328
在0个频道中
Get PRO
七月 '26
+319
在0个频道中
Get PRO
六月 '26
+324
在0个频道中
Get PRO
五月 '26
+326
在0个频道中
Get PRO
四月 '26
+329
在0个频道中
Get PRO
三月 '26
+197
在5个频道中
Get PRO
二月 '26
+203
在0个频道中
Get PRO
一月 '26
+197
在0个频道中
Get PRO
十二月 '25
+176
在0个频道中
Get PRO
十一月 '25
+178
在1个频道中
Get PRO
十月 '25
+158
在1个频道中
Get PRO
九月 '25
+41
在1个频道中
Get PRO
八月 '25
+1 262
在1个频道中
Get PRO
七月 '25
+3 699
在9个频道中
Get PRO
六月 '25
+3 743
在3个频道中
Get PRO
五月 '25
+1 435
在3个频道中
Get PRO
四月 '25
+936
在3个频道中
Get PRO
三月 '25
+241
在2个频道中
Get PRO
二月 '25
+189
在0个频道中
Get PRO
一月 '25
+579
在1个频道中
Get PRO
十二月 '24
+1 109
在1个频道中
Get PRO
十一月 '24
+435
在0个频道中
Get PRO
十月 '24
+462
在2个频道中
Get PRO
九月 '24
+617
在1个频道中
Get PRO
八月 '24
+704
在0个频道中
Get PRO
七月 '24
+374
在0个频道中
Get PRO
六月 '24
+420
在0个频道中
Get PRO
五月 '24
+505
在1个频道中
Get PRO
四月 '24
+610
在0个频道中
Get PRO
三月 '24
+710
在1个频道中
Get PRO
二月 '24
+1 527
在0个频道中
Get PRO
一月 '24
+549
在0个频道中
Get PRO
十二月 '23
+159
在0个频道中
Get PRO
十一月 '23
+10 415
在0个频道中
Get PRO
十月 '23
+29
在0个频道中
Get PRO
九月 '23
+9 830
在0个频道中
Get PRO
八月 '23
+2 956
在0个频道中
Get PRO
七月 '23
+7 034
在0个频道中
Get PRO
六月 '23
+29
在0个频道中
Get PRO
五月 '23
+1 145
在0个频道中
Get PRO
四月 '23
+4 704
在0个频道中
Get PRO
三月 '23
+19
在0个频道中
Get PRO
二月 '23
+1 098
在0个频道中
| 日期 | 订阅者增长 | 提及 | 频道 | |
| 16 九月 | 0 | |||
| 15 九月 | +9 | |||
| 14 九月 | +6 | |||
| 13 九月 | +5 | |||
| 12 九月 | +1 | |||
| 11 九月 | +3 | |||
| 10 九月 | +5 | |||
| 09 九月 | +5 | |||
| 08 九月 | +5 | |||
| 07 九月 | +6 | |||
| 06 九月 | +6 | |||
| 05 九月 | 0 | |||
| 04 九月 | +8 | |||
| 03 九月 | +6 | |||
| 02 九月 | +7 | |||
| 01 九月 | +6 |
频道帖子
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
| 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 | 没有文字... | 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 |
