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DevOps & SRE notes
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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 12 611 suscriptores, ocupando la posición 10 070 en la categoría Tecnologías y Aplicaciones y el puesto 3 003 en la región EEUU.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 12 611 suscriptores.
Según los últimos datos del 05 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 219, y en las últimas 24 horas de 4, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 18.06%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 4.68% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 274 visualizaciones. En el primer día suele acumular 590 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 3.
- 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 07 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.
12 611
Suscriptores
+424 horas
+507 días
+21930 días
Archivo de publicaciones
12 612
Any user with Argo CD application get permissions can extract real Kubernetes Secret values including service account tokens, TLS certificates, database credentials, and API keys. On Applications where IncludeMutationWebhook=true is already set, exploitation requires only read-only Argo CD access.
https://github.com/argoproj/argo-cd/security/advisories/GHSA-3v3m-wc6v-x4x3
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🚀2.3x faster than MinIO for 4KB object payloads. RustFS is an open-source, S3-compatible high-performance object storage system supporting migration and coexistence with other S3-compatible platforms such as MinIO and Ceph.
https://github.com/rustfs/rustfs
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It's time to update your kernel
An unprivileged local user can write 4 controlled bytes into the page cache of any readable file on a Linux system, and use that to gain root.
https://copy.fail/
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Uber engineered native gRPC endpoints directly into OpenSearch to eliminate inefficient REST/JSON translation layers within their architecture. Their automated pipeline for syncing JSON APIs with Protobuf schemas, their internal integration strategy, and the resulting performance gains in production environments for high-throughput ingestion and vector search workloads.
- Uber implemented gRPC as an OpenSearch module
- To prevent divergence between REST and gRPC, Uber built a three-stage automated pipeline
- Removing the JSON-to-Protobuf translation layer reduced p99 index write latency by 60% for Uber’s M3 metrics system and decreased batch indexing job runtimes by 20-35%.
- Large vector searches, which serialize poorly in JSON, saw a 53% reduction in p50 latency and a 43% reduction in p95 latency.
- Combining gRPC with binary document formats like SMILE proved highly effective, executing 30% faster than REST JSON and 45% faster than gRPC JSON.
https://www.uber.com/us/en/blog/high-performance-grpc/
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The proliferation of AI coding models has drastically lowered the barrier to discovering software vulnerabilities, resulting in a massive influx of automated, low-quality, and false-positive vulnerability reports. This volume is overwhelming open-source maintainers and security teams. The article outlines how the industry must adapt, offering specific strategies for companies, maintainers, and external bug hunters to manage triage, improve report quality, and prevent ecosystem burnout.
https://www.cncf.io/blog/2026/04/16/the-ai-driven-shift-in-vulnerability-discovery-what-maintainers-and-bug-finders-need-to-know/
12 612
Microsoft is so jealous of Claude Code's success that they decided to include a "co-author" credit for GitHub Copilot, even if Copilot has done nothing.
https://github.com/orgs/community/discussions/194075
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Red Hat critiques a recent VMware study that claimed VMware Cloud Foundation (VCF) with vSphere Kubernetes Service (VKS) offers a "5.6x pod density" advantage over Red Hat OpenShift. The benchmark as an architectural mismatch rather than an accurate performance evaluation, noting that VMware compared 300 overcommitted virtual worker nodes against 4 bare-metal OpenShift nodes.
https://www.redhat.com/en/blog/precision-over-perception-why-architecture-matters-benchmarking
12 612
The article addresses the "broken" scale of AI model distribution, where transferring massive models (like a 130GB DeepSeek-V3) to hundreds of GPU nodes simultaneously bottlenecks network bandwidth and hits rate limits on hubs like Hugging Face. The solution is the CNCF project Dragonfly, which uses a Peer-to-Peer (P2P) architecture to ensure a model is fetched from the origin only once. It details new native protocol support for hf:// and modelscope://, allowing dfget (Dragonfly's download tool) to natively understand these hubs, reducing origin traffic by up to 99.5% and enabling wire-speed distribution across clusters.
https://www.cncf.io/blog/2026/04/06/peer-to-peer-acceleration-for-ai-model-distribution-with-dragonfly/
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12 612
Following the announced retirement of the ingress-nginx project, the CNCF migrated its internal services cluster to Envoy Gateway (an implementation of the Gateway API). Rather than a generic tutorial, the post details their specific architectural decisions, such as utilizing a shared Gateway object across multiple HTTPRoutes to optimize cloud load balancer costs and operational simplicity. It also covers the migration strategies they used for maintaining the same IP address, handling legacy certificates, and conducting "Day 2" operations with cert-manager.
https://www.cncf.io/blog/2026/04/13/ingress-nginx-to-envoy-gateway-migration-on-cncf-internal-services-cluster/
12 612
The article introduces GKE Active Buffer, a native feature designed to solve the persistent problem of scale-out latency in Kubernetes. Traditionally, cluster autoscaling suffers from delays while provisioning new VMs and pulling container images. To solve this, admins often used "balloon pods" (dummy pods that hold space), which are "hacky," complex to manage, and lack native integration. GKE Active Buffer replaces these with a declarative CapacityBuffer API, providing a standardized, portable way to maintain "warm" capacity. This allows business-critical workloads—such as AI inference, retail flash sales, and gaming—to land on pre-provisioned capacity nearly instantaneously.
https://cloud.google.com/blog/products/containers-kubernetes/new-gke-active-buffer-minimizes-scale-out-latency
12 612
K8s 1.36 will be released soon, and it’s a good time to check which new alpha features will be available in the new release.
https://palark.com/blog/kubernetes-1-36-release-features/
12 612
Have you switched over to IPv6 yet? It’s time to start getting ready for IPv8.https://www.ietf.org/archive/id/draft-thain-ipv8-00.html
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In the modern world of services, the teams developing and working with them need to understand the concept of rate limiting. Being able to design these systems is crucial to avoid service denial and provide higher uptime. It is an important part not only for externally available services, but also for internal ones.
https://bytebytego.com/courses/system-design-interview/design-a-rate-limiter
12 612
Repost from AWS Notes
🚀 Join our AWS Cloud Developer course and gain practical experience working with various AWS services and technologies during an intensive 2-month program!
🎯 Become familiar with over 15 AWS services and confidently apply your skills in real-world projects by the end of the course.
▪️Start date: April 13, 2026
▪️Free / Online
▪️In English
COURSE HIGHLIGHTS
☁️ Build a single-page application (SPA) using AWS S3 and CloudFront
☁️ Develop serverless APIs with AWS API Gateway and Lambda
☁️ Integrate with databases and S3
☁️ Master asynchronous microservices communication using SQS and SNS
☁️ Explore authorization with Lambda Authorizers and Cognito
☁️ Learn containerization with Docker and Elastic Beanstalk
☁️ Implement backend-for-frontend using API Gateway
Find out more details and enroll:
https://wearecommunity.io/events/aws-cloud-dev-2026q2
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A realistic exam simulator for CKAD, CKA, and CKS featuring timed sessions and hands-on labs with pre-configured clusters.
https://github.com/sailor-sh/CK-X
12 612
Tech giants under attack by a Trivy-compromised GitHub action.
Cisco – More than 300 GitHub repositories were cloned during the incident, including source code for its AI-powered products, such as AI Assistants, AI Defense, and unreleased products. A portion of the stolen repositories allegedly belongs to corporate customers, including banks, BPOs, and US government agencies.
https://www.bleepingcomputer.com/news/security/cisco-source-code-stolen-in-trivy-linked-dev-environment-breach/
12 612
Terragrunt is now v1!
This means that Terragrunt will no longer have any breaking changes in minor releases, with all future breaking changes taking place in (infrequent) future major releases.
https://github.com/gruntwork-io/terragrunt/releases/tag/v1.0.0
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It might become an alternative to LocalStack
Floci - Light, fluffy, and always free - AWS Local Emulator
https://github.com/hectorvent/floci
