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 19 796 subscribers, ranking 6 516 in the Technologies & Applications category and 33 420 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 796 subscribers.
According to the latest data from 04 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 123 over the last 30 days and by 10 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 13.80%. Within the first 24 hours after publication, content typically collects 6.87% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 731 views. Within the first day, a publication typically gains 1 359 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 05 September, 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.
For some time now, I have been interested in Talos, an operating system for Kubernetes. I installed my first Talos cluster in November 2023, and my “production” (composed of 3 Raspberry Pi) is now running on this OS.https://a-cup-of.coffee/blog/talos
Our 2-node HA architecture uses Spectro Cloud’s existing, battle-tested edge solution, which builds upon open source components including kairos, k3s, kube-vip, harbor, and system-upgrader-controller.https://itnext.io/two-node-ha-kubernetes-for-edge-computing-cost-savings-9a009eb076ac
I recently migrated the 4 Golang apps of the Online Boutique sample apps from alpine to scratch and its .NET app from alpine to chiseled. Here are some the things I have learned while doing that.https://medium.com/google-cloud/alpine-distroless-or-scratch-caac35250e0b
Реклама. ООО «Отус онлайн-образование», ОГРН 1177746618576, erid: 2Vtzqx7u8gAA service mesh is a dedicated infrastructure layer that facilitates service-to-service communications between services or microservices using a proxy.https://livewyer.io/blog/2024/05/08/comparison-of-service-meshes
Реклама. ООО «Отус онлайн-образование», ОГРН 1177746618576, www.otus.ru, erid: 2VtzqwP6ReKWe faced an issue within our Kubernetes cluster wherein certain multi-threaded Golang applications, for which CPU limit has been set, are experiencing throttling before reaching their designated limits.https://medium.com/@sharyash81/solving-cpu-throttling-issue-in-golang-applications-before-hitting-the-cpu-limit-in-kubernetes-7d8f40da6477
With introduction of BuildKit - the improved builder backend for Docker - many new features has been added to Docker, many of which are little known. So, here's a rundown of the ones you definitely need to know about and should start using to make better use of Docker.https://martinheinz.dev/blog/111
Scaling in Kubernetes refers to adjusting the number of pod replicas or modifying the resource allocations of pods to meet application demand, ensuring optimal performance, availability, and resource utilization in a cluster. Kubernetes supports both horizontal and vertical scaling: Horizontal scaling increases or decreases the number of pod replicas while vertical scaling adjusts the resource requests (CPU and memory) of existing pods. In this article, you’ll learn how to use and apply the kubectl command with the scale subcommand to manually execute horizontal scaling. You’ll also see how and when to use kubectl to scale deployment to 0, which means reducing the number of running pods of an application or a workload to zero, and the limitations of this action. Additionally, you’ll learn how Kubernetes Event-Driven Autoscaling (KEDA) can fill in the gaps left by the Kubernetes Horizontal Pod Autoscaler (HPA). Finally, we highlight StormForge’s features for efficient horizontal and vertical scaling.https://stormforge.io/kubernetes-autoscaling/kubectl-scale-deployment-to-0
When you first start building AI applications with generative AI, you'll likely end up using OpenAI's API at some point in your project's journey. And for good reason! Their API is well-structured, fast, and supported by great libraries. At a small scale or when you’re just getting started, using OpenAI can be relatively economical. There’s also a huge amount of really great educational material out there that walks you through the process of building AI applications and understanding complex techniques using OpenAI’s API.https://dev.to/opensauced/how-we-saved-10s-of-thousands-of-dollars-deploying-low-cost-open-source-ai-technologies-at-scale-with-kubernetes-57j8
