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 19 414 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 19 414 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.
Linkerd’s dynamic request routing feature has been introduced in Linkerd 2.13. It leverages the Kubernetes Gateway API feature, which reduces the amount of new configuration machinery introduced onto the clusters while still providing a rich and expressive feature set. In this blog post, we will look at Linkerd’s dynamic request routing feature and use it for A/B testing using Flagger.https://www.infracloud.io/blogs/ab-testing-with-linkerd-flagger-using-dynamic-routing
1. Helm doesn't provide a mechanism for upgrading Custom Resource Definitions 2. Helm dependency management 3. Helm chart creation is not user-friendly 4. The values.yaml file is an anti-pattern 5. Inability to interact with the Kubernetes APIhttps://glasskube.eu/en/r/knowledge/5-helm-shortcomings
When you have an outage caused by a performance issue, you don't want to lose precious time just to install the tools needed to diagnose it. Here is a list of "crisis tools" I recommend installing on your Linux servers by default (if they aren't already), along with the (Ubuntu) package names that they come from.https://www.brendangregg.com/blog/2024-03-24/linux-crisis-tools.html
jsondiff is a Go package for computing the diff between two JSON documents as a series of RFC6902 (JSON Patch) operations, which is particularly suitable to create the patch response of a Kubernetes Mutating Webhook for example.https://github.com/wI2L/jsondiff
Single binary, single command SQLite database explorer. SQLite studio supports opening both local SQLite DB files, libSQL servers and PostgreSQL.https://github.com/frectonz/sqlite-studio
Open source data anonymization and synthetic data orchestration for developers. Create high fidelity synthetic data and sync it across your environments.https://github.com/nucleuscloud/neosync
Overmind is a powerful tool for real-time impact analysis on Terraform changes. Overmind can identify the blast radius and uncover potential risks with overmind terrafrom plan before they harm your infrastructure, allowing anyone to make changes with confidence. We also track the impacts of the changes you make with overmind teraform apply, so that you can be sure that your changes haven't had any unexpected downstream impact.https://github.com/overmindtech/cli
Exploring how to do anomaly alerting on seasonal data in Prometheus.https://karlstoney.com/response-time-anomaly-alert
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