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 19 869 subscribers, ranking 6 592 in the Technologies & Applications category and 33 036 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 869 subscribers.
According to the latest data from 06 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -21 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 12.96%. Within the first 24 hours after publication, content typically collects 6.54% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 575 views. Within the first day, a publication typically gains 1 299 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 07 November, 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.
We have made the VictoriaLogs stack for storing logs and the main goal will be to collect logs from k8s. At the moment the product is ready and shows itself very well (does not require resources, compresses data very well) https://docs.victoriametrics.com/victorialogs/ Among the features - supports many protocols for data insertion (including native syslog, promtail (and all variations of this name), elasticsearch, examples of how to write through standard log shippers). VictoriaLogs has visualisation in Grafana and its own UI + query langues, which allows you to basically do whatever you want with logs (filtering analytics slide/dice). We plan to release the cluster and officially announce that everything is ready on Kubecon NA this fall. The Roadmap: https://docs.victoriametrics.com/victorialogs/roadmap/ As for important things: cluster support for s3, alerting and operator (now only helm chart is available). We'll be glad to get feedback at our telegram community @VictoriaMetrics_en or at https://slack.victoriametrics.com The code is here - https://github.com/VictoriaMetrics/VictoriaMetrics/tree/master/app/victoria-logs (monorepo for VictoriaMetrics and VictoriaLogs)
Embrace engineers share a few key learnings from supporting larger log sizes, including working around a current limitation in ClickHouse and testing several skip indices to optimize query performance and storage cost.https://embrace.io/blog/solving-large-logs-with-clickhouse
Since long before I worked at HashiCorp I've been interested in the problems with how Terraform interacts with security-sensitive information like passwords and private keys.https://log.martinatkins.me/2024/05/22/terraform-ephemeral-values
The GitOps Bridge is a community project that aims to showcase best practices and patterns for bridging the process of creating a Kubernetes cluster to subsequently managing everything through GitOps. It focuses on using ArgoCD or FluxCD, both of which are CNCF-graduated projects.https://github.com/gitops-bridge-dev/gitops-bridge
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
