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 19 861 subscribers, ranking 6 598 in the Technologies & Applications category and 33 029 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 861 subscribers.
According to the latest data from 11 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -34 over the last 30 days and by -8 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 12.87%. Within the first 24 hours after publication, content typically collects 6.37% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 556 views. Within the first day, a publication typically gains 1 265 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 12 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.
Нативная интеграция. Информация о продукте www.otus.ruWhat is it? How does it work? When to use it and when not to use it?https://blog.alexewerlof.com/p/failover
Reliable software design is a discipline that involves a careful balance of numerous principles, each of which is intended to ensure the development of high-quality software that meets the needs of users and stakeholders.https://www.codereliant.io/principles-of-reliable-software-design-part-1
hi! this article is aimed at folks who are interested in performance analysis or operations of software, and want to understand the impact on user experience. the examples will be centered around web applications and web services, but can be applied in other contexts as well.https://igor.io/latency
We are going to describe how CloudFront can be integrated with API Gateway to provide lower-latency. And we will go through the attributes of the CloudFront resources in Terraform, including the ones that we need to create the distribution and configure origins and behaviors.https://medium.com/@xpiotrkleban/cloudfront-and-terraform-essentials-how-to-optimize-content-delivery-27c84e8aef04
- Consulting - Embedded - Infra Teamhttps://certomodo.substack.com/p/sre-engagement-models
tfvar is a Terraform's variable definitions template generator. It scans your Terraform configurations or modules and extracts the variables into formats of your choice for editing, e.g., tfvar, environment variables, etc.https://github.com/shihanng/tfvar
This is an implementation of the Terraform registry protocol used to host a private Terraform registry.https://github.com/nrkno/terraform-registry
Terragrunt alternative to keep your Terraform code consistent and DRYhttps://github.com/refl3ction/tfgen
Leveraging Terraform to automate the setup and configuration of SSO resources, streamline user management, and enhance security.https://medium.com/cloud-native-daily/automate-aws-sso-using-terraform-2f219a45c16f
We investigated Crossplane at a deep level and found it wasn't for us. Read on to learn about our investigation and the issues we found.https://masterpoint.io/updates/passing-on-crossplane
TL:DR At Spotify, we run containerized workloads in production across our entire organization in five regions where our main production workloads are in Google Kubernetes Engine (GKE) on Google Cloud Platform (GCP). If we detect suspicious behavior in our workloads, we need to be able to quickly analyze it and determine if something malicious has happened. Today we leverage commercial solutions to monitor them, but we also do our own research to discover options and alternative methods. One such research project led to the discovery of a new method for conducting memory analysis on GKE by combining three open source tools, AVML, dwarf2json, and Volatility 3, the result being a snapshot of all the processes and memory activities on a GKE node. This new method empowers us and other organizations to use an open source alternative if we do not have a commercial solution in place or if we want to compare our current monitoring to the open source one. In this blog post, I’ll explain in detail how memory analysis works and how this new method can be used on any GKE node in production today.https://engineering.atspotify.com/2023/06/analyzing-volatile-memory-on-a-google-kubernetes-engine-node
