¡Ya disponible! Investigación de Telegram 2025 — los principales insights del año 
DevOps & SRE notes
Ir al canal en 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
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 12 732 suscriptores, ocupando la posición 9 995 en la categoría Tecnologías y Aplicaciones y el puesto 2 933 en la región EEUU.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 12 732 suscriptores.
Según los últimos datos del 23 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 209, y en las últimas 24 horas de 7, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 14.26%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 3.58% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 1 812 visualizaciones. En el primer día suele acumular 455 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 7.
- 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 24 junio, 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.
12 732
Suscriptores
+724 horas
+217 días
+20930 días
Carga de datos en curso...
Canales Similares
Nube de Etiquetas
Menciones Entrantes y Salientes
---
---
---
---
---
---
Atraer Suscriptores
junio '26
junio '26
+229
en 0 canales
mayo '26
+326
en 0 canales
Get PRO
abril '26
+329
en 0 canales
Get PRO
marzo '26
+197
en 5 canales
Get PRO
febrero '26
+203
en 0 canales
Get PRO
enero '26
+197
en 0 canales
Get PRO
diciembre '25
+176
en 0 canales
Get PRO
noviembre '25
+178
en 1 canales
Get PRO
octubre '25
+158
en 1 canales
Get PRO
septiembre '25
+41
en 1 canales
Get PRO
agosto '25
+1 262
en 1 canales
Get PRO
julio '25
+3 699
en 9 canales
Get PRO
junio '25
+3 743
en 3 canales
Get PRO
mayo '25
+1 435
en 3 canales
Get PRO
abril '25
+936
en 3 canales
Get PRO
marzo '25
+241
en 2 canales
Get PRO
febrero '25
+189
en 0 canales
Get PRO
enero '25
+579
en 1 canales
Get PRO
diciembre '24
+1 109
en 1 canales
Get PRO
noviembre '24
+435
en 0 canales
Get PRO
octubre '24
+462
en 2 canales
Get PRO
septiembre '24
+617
en 1 canales
Get PRO
agosto '24
+704
en 0 canales
Get PRO
julio '24
+374
en 0 canales
Get PRO
junio '24
+420
en 0 canales
Get PRO
mayo '24
+505
en 1 canales
Get PRO
abril '24
+610
en 0 canales
Get PRO
marzo '24
+710
en 1 canales
Get PRO
febrero '24
+1 527
en 0 canales
Get PRO
enero '24
+549
en 0 canales
Get PRO
diciembre '23
+159
en 0 canales
Get PRO
noviembre '23
+10 415
en 0 canales
Get PRO
octubre '23
+29
en 0 canales
Get PRO
septiembre '23
+9 830
en 0 canales
Get PRO
agosto '23
+2 956
en 0 canales
Get PRO
julio '23
+7 034
en 0 canales
Get PRO
junio '23
+29
en 0 canales
Get PRO
mayo '23
+1 145
en 0 canales
Get PRO
abril '23
+4 704
en 0 canales
Get PRO
marzo '23
+19
en 0 canales
Get PRO
febrero '23
+1 098
en 0 canales
| Fecha | Crecimiento de Suscriptores | Menciones | Canales | |
| 24 junio | +27 | |||
| 23 junio | +9 | |||
| 22 junio | +12 | |||
| 21 junio | +5 | |||
| 20 junio | +2 | |||
| 19 junio | +2 | |||
| 18 junio | +2 | |||
| 17 junio | +9 | |||
| 16 junio | +7 | |||
| 15 junio | +6 | |||
| 14 junio | +11 | |||
| 13 junio | +10 | |||
| 12 junio | +5 | |||
| 11 junio | +17 | |||
| 10 junio | +7 | |||
| 09 junio | +8 | |||
| 08 junio | +8 | |||
| 07 junio | +23 | |||
| 06 junio | +11 | |||
| 05 junio | +6 | |||
| 04 junio | +5 | |||
| 03 junio | +16 | |||
| 02 junio | +15 | |||
| 01 junio | +6 |
Publicaciones del Canal
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 | 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 | 798 |
| 3 | 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 | 1 256 |
| 4 | 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 | 1 057 |
| 5 | 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/ | 1 363 |
| 6 | 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/ | 1 688 |
| 7 | CLI tool for linting and testing Helm charts
https://github.com/helm/chart-testing | 1 715 |
| 8 | 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# | 1 950 |
| 9 |  When you have a special math to calculate your uptime, you always have 100%. | 1 900 |
| 10 | kagent runs your agents where your workloads already live — on Kubernetes. Deploy, observe, and govern AI agents with the tools your platform team already trusts. Open source. Production grade. Built by the founders of Istio.
https://github.com/kagent-dev/kagent | 2 019 |
| 11 | I found a good example of why autoscaling based only on CPU utilization can cause an outage.
About a week ago, Twingate had an incident that affected us as a client. They've published a postmortem, and it's a good example of why CPU isn't a good metric to rely on when autoscaling your services.
The incident was triggered by elevated network latency affecting communication paths used by the Authorization service. As requests took longer to complete, individual service instances were able to process fewer requests than normal.
This reduction in throughput exposed a limitation in our auto-scaling configuration, which primarily relied on CPU utilization to determine service capacity requirements.
So, from the CPU utilization perspective, everything was OK, but the number of processed requests decreased.
https://status.twingate.com/incidents/49qvqk7swjpq | 2 061 |
| 12 | Networking within container orchestration can often seem like a black box to developers. This explanation aims to demystify Kubernetes CNI providers and how they manage connectivity.
https://medium.com/@csinclair11/demystifying-kubernetes-cni-providers-5ed79569c797 | 1 973 |
| 13 | The article details how to implement production-grade distributed tracing for complex multi-agent AI workflows using OpenTelemetry.
https://developers.redhat.com/articles/2026/04/06/distributed-tracing-agentic-workflows-opentelemetry# | 2 243 |
| 14 | Many organizations are looking for more efficient logging solutions than the traditional stack. This comparison highlights a modern alternative to ELK that aims to reduce complexity and resource usage.
https://osuite.io/articles/modern-alternative-to-elk | 2 734 |
| 15 | kro | Kube Resource Orchestrator
https://github.com/kubernetes-sigs/kro | 2 781 |
| 16 | This informative post details a clever method for securing Grafana dashboards when using Google Cloud Identity-Aware Proxy. You will learn how to seamlessly integrate these two powerful technologies for enhanced access control.
https://www.vidbregar.com/blog/grafana-gcp-iap | 3 086 |
| 17 | Managing expenses in the cloud requires a strategic approach beyond just looking at bills. A senior engineer shares valuable insight into optimizing costs effectively in this detailed read.
https://medium.com/@razkevich8/cloud-cost-optimization-a-senior-engineers-guide-d49ed4606de1 | 2 772 |
| 18 | A popular & widely deployed Open Source Container Native Storage platform for Stateful Persistent Applications on Kubernetes.
https://github.com/openebs/openebs | 2 738 |
| 19 | The observability market is shifting from volume-based data ingestion to a value-driven model due to the unsustainable costs of scaling cloud-native and AI workloads. Driven by innovations like Chronosphere’s "Logs 2.0" and its subsequent acquisition by Palo Alto Networks, the industry is prioritizing "signal discipline"—retaining only actionable telemetry—and integrating observability directly into broader AI and security platforms.
https://siliconangle.com/2026/02/05/observability-cost-ai-scale-chronosphere-opensourcesummit/ | 2 967 |
| 20 |  One left | 0 |
