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 19 415 subscribers, ranking 6 928 in the Technologies & Applications category and 34 728 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 415 subscribers.
According to the latest data from 18 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 141 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 15.00%. Within the first 24 hours after publication, content typically collects 7.37% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 913 views. Within the first day, a publication typically gains 1 431 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
- 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 19 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.
Kubernetes schedules GPU workloads by assigning a whole device to a single job exclusively. This one-to-one relationship leads to massive GPU underutilization, especially for interactive jobs, characterized by significant idle periods and infrequent bursts of heavy GPU usage. Current solutions enable GPU sharing by statically assigning a fixed slice of GPU memory to each co-located job. These solutions are not suitable for interactive scenarios since the number of co-located jobs is limited by the size of physical GPU memory. Consequently, users must know the GPU memory demand of their jobs before submitting them for execution, which is impractical.https://www.arrikto.com/blog/gpu-virtualization-in-k8s-challenges-and-state-of-the-art
Understand Kubernetes Events and learn to use kubectl events to monitor and troubleshoot your cluster’s issues effectively.https://decisivedevops.com/kubernetes-events-news-feed-of-your-kubernetes-cluster-826e08892d7a
The nuances of how users and groups are configured in Kubernetes and how the role-based access control (RBAC) mechanism applies for them.https://blog.adityasamant.dev/users-groups-roles-and-api-access-in-kubernetes
Argo Event is a Kubernetes based event automation engine. It is part of the Argo project. Argo Events can be used with or independent of other projects in Argo. I will be writing a series of articles on Argo Events; in these articles I will be looking at how we can use Argo Event to automate process within and without a Kubernetes cluster. For this first article in this series, we will examine Argo Events core concepts, installation and provisioning different event buses which Argo Event uses to forward events to their sink. Finally we will look at setting up a webhook event flow to verify our setup.https://medium.chuklee.com/argo-events-event-bus-and-webhook-ac34e5714209
Know the differences between ConfigMaps mounted as Volumes and ConfigMaps defined as environment variables.https://blog.adityasamant.dev/configmap-conundrum-subtleties-of-dynamic-updates-in-kubernetes-configurations
A database does not need a write-ahead log (WAL) to achieve durability. A database can write its long-term data structure durably to disk before returning to a client. Granted, this is a bad idea! And granted, a WAL is critical for durability by design in most databases. But I think it's helpful to understand WALs by understanding what you could do without them.https://notes.eatonphil.com/2024-07-01-a-write-ahead-log-is-not-a-universal-part-of-durability.html
Applying Quality of Service techniques at the application levelhttps://netflixtechblog.com/enhancing-netflix-reliability-with-service-level-prioritized-load-shedding-e735e6ce8f7d
What is it? Why is it used? And why is it important in the context of optimization and reliability engineering? Bonus: a browser app that lets you play with data.https://blog.alexewerlof.com/p/percentile
We have : - 15 terragrunt.hcl files for every service. - Around 900 terragrunt.hcl files (15*60) in total.Part 1: https://medium.com/lumapps-engineering/terraform-at-lumapps-part-1-f37660b4ed95 Part 2: https://medium.com/lumapps-engineering/terraform-at-lumapps-part-2-27494897def4 Part 3: https://medium.com/lumapps-engineering/terraform-at-lumapps-part-3-daa3c869f0f4
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