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 19 397 subscribers, ranking 6 907 in the Technologies & Applications category and 34 704 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 397 subscribers.
According to the latest data from 24 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 75 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 14.71%. Within the first 24 hours after publication, content typically collects 7.02% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 854 views. Within the first day, a publication typically gains 1 361 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 25 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.
For a data format, yaml is extremely complicated. It aims to be a human-friendly format, but in striving for that it introduces so much complexity, that I would argue it achieves the opposite result. Yaml is full of footguns and its friendliness is deceptive. In this post I want to demonstrate this through an example. This post is a rant, and more opinionated than my usual writing.https://ruudvanasseldonk.com/2023/01/11/the-yaml-document-from-hell
There are multiple ways to configure environment settings in Terraform. This repo evaluates initial four but it has branched out to multiple possible methods with an aim of writing DRY easy to maintain code.https://github.com/neilpricetw/terraform-workspaces-terragrunt-ansible
TerraCurl is a utility Terraform provider that allows engineers to make managed and unmanaged API calls in their Terraform code.https://www.hashicorp.com/blog/writing-terraform-for-unsupported-resources
GoReplay is an open-source tool for capturing and replaying live HTTP traffic into a test environment in order to continuously test your system with real data. It can be used to increase confidence in code deployments, configuration changes and infrastructure changes.https://github.com/buger/goreplay
How Relational Databases Work. This post talks about how indexes and transactions work on the inside of relational databases.https://architecturenotes.co/things-you-should-know-about-databases
Streamlining Your Team’s Incident Responsehttps://medium.com/saas-infra/navigating-the-storm-strategies-for-managing-production-incidents-e92ece8315c
The Twelve-Factor App methodology is a methodology for building software-as-a-service applications by Adam Wiggins. We cover how they have since evolved, and what we can learn from them today and how they changed the status quo of yesteryear.https://architecturenotes.co/12-factor-app-revisited
Have you ever wondered what it takes to build a serverless software as a service (SaaS) offering in under a year? In this blog post, we will describe how we built ClickHouse Cloud – a managed service on top of one of the most popular online analytical processing (OLAP) databases in the world – from the ground up. We delve into our planning process, design and architecture decisions, security and compliance considerations, how we achieved global scalability and reliability in the cloud, and some of the lessons we learned along the way.https://clickhouse.com/blog/building-clickhouse-cloud-from-scratch-in-a-year
More features, active users, and data are collected daily. Your database is slowing your application. Many people don't understand database sharding, which could solve their difficulties. This article explains database sharding, its benefits, including how to use it and when not to.https://architecturenotes.co/database-sharding-explained
The prometheus monitoring stack includes an alert dispatching component called alertmanager. Many integrations are available to dispatch the alerts to pager, slack, etc… i.e. notification channels. But how to bring easily and efficiently automated responses is the question we’ll try to answer here.https://touilleio.medium.com/alertmanager-incident-response-automation-with-n8n-c61227e196e9
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