DevOps & SRE notes
前往频道在 Telegram
Helpful articles and tools for DevOps&SRE WhatsApp: https://whatsapp.com/channel/0029Vb79nmmHVvTUnc4tfp2F For paid consultation (RU/EN), contact: @tutunak All ways to support https://telegra.ph/How-support-the-channel-02-19
显示更多📈 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 13 258 名订阅者，在 技术与应用 类别中位列第 9 374，并在 美国 地区排名第 2 784 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 13 258 名订阅者。
根据 25 八月, 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 254，过去 24 小时变化为 3，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 16.60%。内容发布后 24 小时内通常能获得 4.52% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 2 201 次浏览，首日通常累积 599 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 3。
- 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
WhatsApp: https://whatsapp.com/channel/0029Vb79nmmHVvTUnc4tfp2F
For paid consultation (RU/EN), contact: @tutunak
All ways to support https://telegra.ph/How-support-the-channel-02-19”
凭借高频更新（最新数据采集于 26 八月, 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。
13 258
订阅者
+324 小时
+267 天
+25430 天
帖子存档
13 264
🛡 Open-source and cloud-native Web Application Firewall (WAF)
https://github.com/bunkerity/bunkerweb
13 264
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
13 264
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
13 264
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
13 264
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
13 264
How GitHub uses eBPF to improve deployment safety
https://github.blog/engineering/infrastructure/how-github-uses-ebpf-to-improve-deployment-safety/
13 264
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.
13 264
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/
13 264
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
13 264
A lightweight tool for deploying and managing containerised applications across a network of Docker hosts. Bridging the gap between Docker and Kubernetes ✨
https://github.com/psviderski/uncloud
13 264
Deep dive into Prometheus’s
use-uncached-io work and why page cache behavior can make Kubernetes container memory metrics misleading. Useful for anyone running Prometheus at scale: covers memory predictability, compaction writes, OOM risk, and tradeoffs around direct I/O.
https://prometheus.io/blog/2026/03/05/uncached-io/13 264
Ministack: Free, open-source local AWS emulator - 55+ services, Terraform compatible, real databases. Free forever. MIT licensed.
https://github.com/ministackorg/ministack
13 264
Kubernetes configuration tracking controller.
Wave watches Deployments, StatefulSets and DaemonSets within a Kubernetes cluster and ensures that their Pods always have up to date configuration.
By monitoring mounted ConfigMaps and Secrets, Wave can trigger a Rolling Update of the Deployment when the mounted configuration is changed.
https://github.com/wave-k8s/wave
13 264
Repost from N/a
Hands-on vendor-neutral instrumentation for GenAI spans, tool calls, token metrics, and trace exploration. Worth reading if you want AI-agent debugging to fit existing OTel/Grafana/Loki-style observability rather than a separate black box.
https://opentelemetry.io/blog/2026/genai-observability/
13 264
Lessons from Moving a Live Production Database describes the complex process of migrating a massive dataset while keeping the service available to users.
The case study covers specific strategies for achieving zero downtime during a high-risk infrastructure change.
But is zero downtime always worth the engineering effort?
Imagine that you have two options:
1. Spend several weeks preparing and testing a zero-downtime migration.
2. Schedule 20 minutes of downtime during a low-traffic period.
Considering that 99.9% availability allows approximately 43 minutes of downtime per month, which option would you choose?
What factors would change your decision: revenue loss, SLA penalties, customer expectations, rollback complexity, or the size of the engineering team?
https://www.tines.com/blog/zero-downtime-database-migrations-lessons-from-moving-a-live-production/
13 264
Containerlab focuses on the containerized Network Operating Systems which are typically used to test network features and designs
https://github.com/srl-labs/containerlab
13 264
The article explores how integrating these two prominent tools can accelerate and enhance platform engineering initiatives.
https://platformengineering.org/blog/platform-engineering-with-crossplane-and-argocd
