DevOps&SRE Library
Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3
Show more📈 Analytical overview of Telegram channel DevOps&SRE Library
Channel DevOps&SRE Library (@devopslibrary) in the English language segment is an active participant. Currently, the community unites 19 758 subscribers, ranking 6 522 in the Technologies & Applications category and 33 382 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 758 subscribers.
According to the latest data from 28 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 133 over the last 30 days and by 4 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 13.91%. Within the first 24 hours after publication, content typically collects 7.00% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 749 views. Within the first day, a publication typically gains 1 383 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
- Thematic interests: Content is focused on key topics such as kubernete, cluster, infrastructure, storage, configuration.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Библиотека статей по теме DevOps и SRE.
Реклама: @ostinostin
Контент: @mxssl
РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3”
Thanks to the high frequency of updates (latest data received on 29 August, 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.
The open-source, datacenter-scale inference stack. Dynamo is the orchestration layer above inference engines — it doesn't replace SGLang, TensorRT-LLM, or vLLM, it turns them into a coordinated multi-node inference system. Disaggregated serving, intelligent routing, multi-tier KV caching, and automatic scaling work together to maximize throughput and minimize latency for LLM, reasoning, multimodal, and video generation workloads.https://github.com/ai-dynamo/dynamo
This article explains how to use the In-Place Pod Resize feature in Kubernetes, combined with Kube Startup CPU Boost, to speed up Java application startup.https://piotrminkowski.com/2025/12/22/startup-cpu-boost-in-kubernetes-with-in-place-pod-resize/
This is a story about a tricky issue I resolved recently.https://dev.to/datton94/how-my-client-hit-linux-kernel-network-limits-on-aws-eks-3am5
More and more enterprises want the benefits of AI-assisted coding, automatic completions, suggestions, and inline generation, without sending their source code to external APIs. This has naturally increased interest in self-hosted coding assistants, where all inference runs on internal hardware and all models stay inside a controlled environment. We built a complete prototype of such a system. In this article, we walk through its architecture, explain how Kubernetes is used to deploy it, and how different system parameters interact to determine real-world performance. In a separate post, we study how the llama.cpp inference server behaves under increasing load.https://medium.com/@ferraricorneloup.teo/inside-a-self-hosted-ai-coding-assistant-architecture-kubernetes-deployment-and-llama-cpp-158330a12441
A personal knowledge base that turns markdown notes into a semantically-connected, AI-augmented knowledge graph. Atomic stores knowledge as atoms — markdown notes that are automatically chunked, embedded, tagged, and linked by semantic similarity. Your atoms can be synthesized into wiki articles, explored on a spatial canvas, and queried through an agentic chat interface.https://github.com/kenforthewin/atomic
Run multiple agents in parallel — each in its own container, with its own workspace, collaborating on your code or project files simultaneously.https://github.com/GoogleCloudPlatform/scion
A lightweight, single-binary OpenTelemetry viewer for local development. Visualize traces, logs, and metrics from your instrumented applications — no Docker, no databases, no complex setup.https://github.com/mesaglio/otel-front
DriftHound is a Rails WebApp that receives Terraform drift reports via API and provides visibility into infrastructure drift across your projects.https://github.com/drifthoundhq/drifthound
After successfully adopting Terraform for GitHub repository management, the next step in our Infrastructure as Code (IaC) journey was clear: dogfood our own product and manage our domains and DNS zones using the DNSimple Terraform provider.https://blog.dnsimple.com/2025/11/managing-domains-terraform-dnsimple
After a few years of writing open-source Terraform modules, I've picked up a few syntax tricks that make code safer, cleaner, and easier to maintain.https://rosesecurity.dev/2025/12/04/terraform-tips-and-tricks.html
Instead of managing node groups, installing Karpenter, configuring the VPC CNI plugin, deploying the AWS Load Balancer Controller, setting up the EBS CSI driver, and keeping all of those components updated and compatible with each other - you enable a single flag and AWS handles all of it.https://darryl-ruggles.cloud/a-complete-terraform-setup-for-eks-auto-mode-is-it-right-for-you
Blockchain RPC skills for AI coding agentshttps://github.com/drpcorg/drpc-agent-skills
There is a distinct, visceral kind of pain in watching an otherwise brilliant engineer hold down the Backspace key for six continuous seconds to fix a typo at the beginning of a line. We’ve all been there. We learn ls, cd, and grep, and then we sort of… stop. The terminal becomes a place we live in-but we rarely bother to arrange the furniture. We accept that certain tasks take forty keystrokes, completely unaware that the shell authors solved our exact frustration sometime in 1989. Here are some tricks that aren’t exactly secret, but aren’t always taught either. To keep the peace in our extended Unix family, I’ve split these into two camps: the universal tricks that work on almost any POSIX-ish shell (like sh on FreeBSD or ksh on OpenBSD), and the quality-of-life additions specific to interactive shells like Bash or Zsh.https://blog.hofstede.it/shell-tricks-that-actually-make-life-easier-and-save-your-sanity
