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DevOps & SRE notes

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

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📈 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 12 593 subscribers, ranking 10 073 in the Technologies & Applications category and 3 004 in the USA region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 12 593 subscribers.

According to the latest data from 03 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 234 over the last 30 days and by 15 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 15.76%. Within the first 24 hours after publication, content typically collects 4.76% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 984 views. Within the first day, a publication typically gains 600 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
  • Thematic interests: Content is focused on key topics such as kubernete, cluster, author, engineering, monitoring.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
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

Thanks to the high frequency of updates (latest data received on 04 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.

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Date
Subscriber Growth
Mentions
Channels
04 June+5
03 June+16
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01 June+6
Channel Posts
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

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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
803
3
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#
1 182
4
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
1 679
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kro | Kube Resource Orchestrator https://github.com/kubernetes-sigs/kro
1 842
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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
2 431
7
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
2 262
8
A popular & widely deployed Open Source Container Native Storage platform for Stateful Persistent Applications on Kubernetes. https://github.com/openebs/openebs
2 280
9
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/
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┌──────────┐ ┌──────────┐ ┌──────────┐ ) CC ✻ ┊ ( ) CC ✻ ┊ ( ) CC ✻ ┊ ( └──────────┘ └──────────┘ └──────────┘ Claude Code gave me three "tickets" for a free week. You can grab them using this link: https://claude.ai/referral/NXtyf-cgbQ
2 442
12
Uber engineered an automated approach to migrate its massive Java monorepo (over 600,000 tests, 15 million lines of code) from the deprecated JUnit 4 to JUnit 5. Facing challenges like the lack of native JUnit 5 support in their Bazel build system and custom test configurations, they successfully migrated over 75,000 test classes and 1.25 million lines of code in just four months without disrupting developer workflows. https://www.uber.com/us/en/blog/junit-migration/
2 459
13
The article explains that while Kubernetes excels at scheduling and isolating workloads, it lacks the context to secure Large Language Models (LLMs), which process untrusted natural language inputs. Highlighting four key risks from the OWASP Top 10 for LLMs, the author argues that security controls shouldn't live within the model runtime (like Ollama). Instead, organizations need a dedicated, LLM-aware policy layer (such as LiteLLM, Kong AI Gateway, or Portkey) in front of the model to enforce validation, filtering, and authorization. https://www.cncf.io/blog/2026/03/30/llms-on-kubernetes-part-1-understanding-the-threat-model/
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https://github.com/V4bel/dirtyfrag
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Bulk port forwarding Kubernetes services for local development. https://github.com/txn2/kubefwd
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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
2 540
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Kubernetes Goat is a "Vulnerable by Design" cluster environment to learn and practice Kubernetes security using an interactive hands-on playground 🚀 https://github.com/madhuakula/kubernetes-goat
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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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