DevOps & SRE notes
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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
Mostrar más📈 Análisis del canal de Telegram DevOps & SRE notes
El canal DevOps & SRE notes (@devops_sre_notes) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 12 903 suscriptores, ocupando la posición 9 745 en la categoría Tecnologías y Aplicaciones y el puesto 2 849 en la región EEUU.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 12 903 suscriptores.
Según los últimos datos del 13 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 230, y en las últimas 24 horas de 8, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 15.81%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 4.58% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 040 visualizaciones. En el primer día suele acumular 591 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 5.
- Intereses temáticos: El contenido se centra en temas clave como kubernete, cluster, author, engineering, monitoring.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“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”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 14 julio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.
12 903
Suscriptores
+824 horas
+287 días
+23030 días
Carga de datos en curso...
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| Fecha | Crecimiento de Suscriptores | Menciones | Canales | |
| 14 julio | +4 | |||
| 13 julio | +11 | |||
| 12 julio | +7 | |||
| 11 julio | 0 | |||
| 10 julio | +4 | |||
| 09 julio | +7 | |||
| 08 julio | +12 | |||
| 07 julio | +8 | |||
| 06 julio | +4 | |||
| 05 julio | +16 | |||
| 04 julio | +18 | |||
| 03 julio | +5 | |||
| 02 julio | +11 | |||
| 01 julio | +19 |
Publicaciones del Canal
| 2 | Hands-on comparison against a deliberately broken cluster, with real outputs and failure-mode differences. Practical for deciding where AI Kubernetes tools fit: scanner, agent framework, or natural-language kubectl layer.
https://decodeops.substack.com/p/k8sgpt-vs-kagent-vs-kubectl-ai-what | 798 |
| 3 | The 10-step playbook to reduce K8s bills by 40-60%, focusing heavily on bridging the gap between requested and actually used resources.
https://leanopstech.com/blog/kubernetes-cost-optimization-guide-2026/ | 934 |
| 4 | Deep-dive technical guide into the exact mechanics of pod restarts and configuration updates in Kubernetes
https://www.cncf.io/blog/2026/03/17/when-kubernetes-restarts-your-pod-and-when-it-doesnt/ | 1 281 |
| 5 | kubectl debugging plugin to collect full or partial cluster state and serve via an api server. Kubernetes time machine
https://github.com/crust-gather/crust-gather | 1 500 |
| 6 | Pull Request-like Review/Approval flow for database queries. For compliant but smooth Engineering access to production.
https://github.com/kviklet/kviklet | 2 120 |
| 7 | This article provides an insightful, framework-driven overview of automated post-mortem generation, defining how AI transforms incident retrospectives from manual reconstruction into automated drafting based on existing artifacts. It introduces a structural model for evaluating tools rather than just summarizing vendor features.
https://www.arvoai.ca/blog/automated-post-mortem-generation | 2 084 |
| 8 | Operator to streamline renovate executions in Kubernetes
https://github.com/mogenius/renovate-operator | 1 992 |
| 9 | 🤦♂️ Tech is fundamentally broken. Microsoft's brilliant new fix to make the Windows 11 Start menu feel snappy is just spiking your CPU to maximum frequency for three seconds every time you click it, rather than optimizing the UI. What a world.
https://www.windowslatest.com/2026/06/10/windows-11s-performance-boost-released-today-enable-it-using-these-steps/ | 2 041 |
| 10 | Practical walkthrough of running kAgent against a Kubernetes cluster, using MCP tools to investigate common workload failures. Useful for thinking about safe AI copilots for day-2 ops, not just chat-based kubectl wrappers.
https://andamp.io/insights/blog/hands-on-with-kagent-ai-assisted-kubernetes-troubleshooting-with-mcp | 1 853 |
| 11 | Technical postmortem detailing a sophisticated supply-chain compromise of the TanStack ecosystem on May 11, 2026
https://tanstack.com/blog/npm-supply-chain-compromise-postmortem | 1 946 |
| 12 | CloudGoat is Rhino Security Labs' "Vulnerable by Design" AWS deployment tool
https://github.com/RhinoSecurityLabs/cloudgoat | 2 059 |
| 13 | Shopify discovered that deeply nested, high-cardinality GraphQL queries were bottlenecking not on I/O, but on CPU-bound field resolver execution driven by GraphQL’s standard depth-first traversal model. To solve this, Shopify built "GraphQL Cardinal," a breadth-first execution engine that resolves each field once across all objects rather than recursively per object, vastly reducing platform overhead and resolving N+1 issues more efficiently.
https://shopify.engineering/faster-breadth-first-graphql-execution | 2 311 |
| 14 | A utility for fetching Kubernetes Manifest documents from a running cluster. This utility can be run inside or outside a Kubernetes cluster, and utilizes a config file to determine what kind of objects to detect. Manifests files are stored in an output directory in the format: <outputDir>/<kind>/<namespace>/<name>.yaml
https://github.com/grafana/k8s-manifest-tail | 2 160 |
| 15 | Airbnb migrated its high-volume metrics infrastructure to adopt the OpenTelemetry Protocol (OTLP) and Prometheus. To do so without massive disruption, they implemented a dual-emit strategy in their shared metrics libraries. They encountered and solved specific performance bottlenecks regarding high-cardinality data and replaced their legacy Veneur aggregator with a custom-sharded vmagent setup. Crucially, they developed a "zero injection" technique to solve systemic undercounting issues when translating StatsD-style counters into Prometheus cumulative counters.
https://medium.com/airbnb-engineering/building-a-high-volume-metrics-pipeline-with-opentelemetry-and-vmagent-c714d6910b45 | 2 381 |
| 16 | The article explores the newly introduced CloudWatch Logs delivery feature for Amazon EKS Auto Mode.
https://shinyaz.com/en/blog/2026/03/19/eks-auto-mode-enhanced-logging | 1 993 |
| 17 | The primary bottleneck in software delivery is no longer writing code (thanks to AI-assisted development) but rather post-commit infrastructure operations, which are traditionally built for human interaction rather than machine autonomy. It positions Crossplane and Kubernetes-native control planes as the necessary solution, advocating for "API-first infrastructure."
https://www.cncf.io/blog/2026/03/20/crossplane-and-ai-the-case-for-api-first-infrastructure/ | 2 222 |
| 18 | ING tackled developer portal sprawl (60+ disparate tools) by adopting Backstage.io as their unified front-end standard. The talk outlines their specific architectural choices and governance models to scale Backstage without it becoming a monolithic bottleneck or crashing due to community plugins.
- To prevent a single bad plugin from crashing the portal, ING separates core services (like the software catalog, which handles hundreds of thousands of entities and has dedicated DB tuning) from community/external plugins, running them on separate instances.
- To avoid costly rewrites of legacy services, internal teams can use a backend proxy plugin to connect existing backend tools into the Backstage UI.
- Built a custom plugin to solve ownership issues in complex, cross-domain workflows.
- Because anyone can contribute, ING enforces a "Contribution Plugin" workflow
- They drove adoption by focusing heavily on Developer Experience (local setups, playgrounds) while simultaneously having their Technology Standards Board mandate Backstage for all new internal UI initiatives.
https://tldrecap.tech/posts/2026/backstagecon-europe/ing-backstage-scaling-developer-platform/ | 2 405 |
| 19 | CLI tool for linting and testing Helm charts
https://github.com/helm/chart-testing | 2 259 |
| 20 | The new DNSTracking feature in the Red Hat network observability operator 1.11, which now captures DNS query names directly via eBPF without additional configuration.
https://developers.redhat.com/articles/2026/04/09/how-dns-name-tracking-enhances-network-observability# | 2 442 |
