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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
Show moreπ Analytical overview of Telegram channel DevOps & SRE notes
Channel DevOps & SRE notes (@devops_sre_notes) in the English language segment is an active participant. Currently, the community unites 12 643 subscribers, ranking 10 049 in the Technologies & Applications category and 2 983 in the USA region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 12 643 subscribers.
According to the latest data from 09 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 229 over the last 30 days and by 5 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 18.34%. Within the first 24 hours after publication, content typically collects 4.83% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 317 views. Within the first day, a publication typically gains 610 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
- Thematic interests: Content is focused on key topics such as kubernete, cluster, author, engineering, monitoring.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βHelpful 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-02-19β
Thanks to the high frequency of updates (latest data received on 10 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
12 643
Subscribers
+524 hours
+607 days
+22930 days
Posts Archive
12 640
The article features an interview with Landon Clipp, who built a multi-tenant GPU-based CaaS platform.
- Bypassing the NVIDIA GPU Operator
- Why gVisor Fails for GPUs
- VM Boot Delays
- Firmware and Memory Security
- Ideal Workload
https://kube.fm/gpu-containers-as-a-service-landon
12 640
Kubernetes Goat is a "Vulnerable by Design" cluster environment to learn and practice Kubernetes security using an interactive hands-on playground π
https://github.com/madhuakula/kubernetes-goat
12 640
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
12 640
π2.3x 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
12 640
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/
12 640
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 Uberβs 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/
12 640
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/
12 640
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
12 640
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
12 640
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/
12 640
Looking for a hosting platform to practice with Linux, Kubernetes, etc.? Register using my referral link on DigitalOcean and get $200 in credit for 60 days. By registering through my referral link, you also support this Telegram channel.
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12 640
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/
12 640
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 workloadsβsuch as AI inference, retail flash sales, and gamingβto land on pre-provisioned capacity nearly instantaneously.
https://cloud.google.com/blog/products/containers-kubernetes/new-gke-active-buffer-minimizes-scale-out-latency
12 640
K8s 1.36 will be released soon, and itβs 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/
12 640
Have you switched over to IPv6 yet? Itβs time to start getting ready for IPv8.https://www.ietf.org/archive/id/draft-thain-ipv8-00.html
12 640
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
12 640
Repost from AWS Notes
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Find out more details and enroll:
https://wearecommunity.io/events/aws-cloud-dev-2026q2
12 640
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
12 640
Tech giants under attack by a Trivy-compromised GitHub action.
Cisco β 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/
