DevOps&SRE Library
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Библиотека статей по теме DevOps и SRE.

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Terragrunt root selector: automatically select the best root directory base on file changed

https://medium.com/@bill.nz/terragrunt-root-selector-automatically-select-the-best-root-directory-base-on-file-changed-8f0b4147a8a3
mcfly

McFly replaces your default ctrl-r shell history search with an intelligent search engine that takes into account your working directory and the context of recently executed commands. McFly's suggestions are prioritized in real time with a small neural network.


https://github.com/cantino/mcfly
crd-to-sample-yaml

Generate a sample YAML file from a CRD definition.


https://github.com/Skarlso/crd-to-sample-yaml
radius

Radius is a cloud-native application platform that enables developers and the platform engineers that support them to collaborate on delivering and managing cloud-native applications that follow organizational best practices for cost, operations and security, by default. Radius is an open-source project that supports deploying applications across private cloud, Microsoft Azure, and Amazon Web Services, with more cloud providers to come.


https://github.com/radius-project/radius
selectel-billing-exporter

Prometheus exporter для получения информации по биллингу аккаунта в хостинге Selectel


https://github.com/mxssl/selectel-billing-exporter
The Scary Thing About Automating Deploys

Most of Slack runs on a monolithic service simply called “The Webapp”. It’s big – hundreds of developers create hundreds of changes every week.

Deploying at this scale is a unique challenge. When people talk about continuous deployment, they’re often thinking about deploying to systems as soon as changes are ready. They talk about microservices and 2-pizza teams (~8 people). But what does continuous deployment mean when you’re looking at 150 changes on a normal day? That’s a lot of pizzas…


https://slack.engineering/the-scary-thing-about-automating-deploys
API load testing: A beginner's guide

An API load test generally starts with small loads on isolated components. As your testing matures, your strategy can expand to how to test the API more completely. You’ll test your API with more requests, longer durations, and on a wider test scope — from isolated components to complete end-to-end workflows.


https://grafana.com/blog/2024/01/30/api-load-testing
Continuous Integration

Continuous Integration is a software development practice where each member of a team merges their changes into a codebase together with their colleagues changes at least daily. Each of these integrations is verified by an automated build (including test) to detect integration errors as quickly as possible. Teams find that this approach reduces the risk of delivery delays, reduces the effort of integration, and enables practices that foster a healthy codebase for rapid enhancement with new features.


https://martinfowler.com/articles/continuousIntegration.html
prodzilla

Prodzilla is a modern synthetic monitoring tool built in Rust. It's focused on surfacing whether existing behaviour in production is as expected in a human-readable format, so that stakeholders, or even customers, can contribute to system verification.


https://github.com/prodzilla/prodzilla
(Almost) Every infrastructure decision I endorse or regret after 4 years running infrastructure at a startup

I’ve led infrastructure at a startup for the past 4 years that has had to scale quickly. From the beginning I made some core decisions that the company has had to stick to, for better or worse, these past four years. This post will list some of the major decisions made and if I endorse them for your startup, or if I regret them and advise you to pick something else.


https://cep.dev/posts/every-infrastructure-decision-i-endorse-or-regret-after-4-years-running-infrastructure-at-a-startup
Fallback

What is it? How does it work? When to use it and when not to use it?


https://blog.alexewerlof.com/p/fallback
How to reduce expenses on monitoring: Swapping in VictoriaMetrics for Prometheus

Monitoring can get expensive due to the huge quantities of data that need to be processed. In this blog post, you’ll learn the best ways to store and process monitoring metrics to reduce your costs, and how VictoriaMetrics can help.

This blog post will only cover open-source solutions. VictoriaMetrics is proudly open source. You’ll get the most out of this blog post if you are familiar with Prometheus, Thanos, Mimir or VictoriaMetrics.


https://victoriametrics.com/blog/reducing-costs-p1/index.html
Reliability Engineering Mindset

Subtitle: Concepts, Patterns, and Tools for building, maintaining, and evolving reliable software products


https://blog.alexewerlof.com/p/book-intro-reliability-engineering
m3

Distributed TSDB, Aggregator and Query Engine, Prometheus Sidecar, Graphite Compatible, Metrics Platform


https://github.com/m3db/m3
victorialogs-datasource

Grafana datasource for VictoriaLogs


https://github.com/VictoriaMetrics/victorialogs-datasource