Checkly Guides
Dive into advanced guides on monitoring, testing, and Checkly use cases.
End to end monitoring
Learn end-to-end monitoring with puppeteer and playwright to test key website flows. Follow our guide that gets you up and running in 10 minutes.
Monitoring as code with the Checkly CLI
The as code movement has been picking up steam over the last few years, offering a way for DevOps teams to transparently manage and scale cloud infrastructure, security and other ressources. Why should the way we manage monitoring be any different? In this article, we address this point and illustrate it with a practical example of monitoring as code (MaC) via our Checkly CLI.
Setup scripts for API monitoring
Setup scripts are a fundamental tool to tailor API checks to your own target endpoints. Their power and flexibility can intimidate beginners, who might struggle to understand how the different parts fit together. This guide will present and break down different real-world examples to help you master this game-changing tool.
OpenAPI/Swagger Monitoring
OpenAPI and Swagger help users design and document APIs in a way that is readable from both humans and machines. As a consequence, they can also be used to generate the code that will run the specified API - both on the provider and consumer side. Can we leverage this same principle to simplify API monitoring? After a brief first look at OpenAPI and Swagger, this article will show how we can quickly use them to monitor a new or existing API.
Monitoring as code — the programmable monitoring platform
The monitoring as code workflow enables developers to code, test and deploy your entire monitoring infrastructure. This guide explains how to leverage TypeScript/JavaScript to configure your monitoring setup dynamically.
Monitoring as code
The trend of declaring infrastructure as code has been picking up steam over the last few years, offering a way for DevOps teams to transparently manage and scale cloud infrastructure. Why should the way we manage monitoring be any different? In this article, we address this point and illustrate it with a practical example of Monitoring-as-Code on Checkly.
Migrating from Puppeteer to Playwright
The switch from Puppeteer to Playwright is easy. But is it worth it? And how exactly does one migrate existing scripts from one tool to another? What are the required code-level changes, and what new features and approaches does the switch enable?
API Monitoring for the Jamstack
Application Programming Interfaces (APIs) are used throughout software to define interactions between different software applications. In this article we focus on web APIs specifically, taking a look at how they fit in the Jamstack architecture and how we can set up API monitoring in order to make sure they don't break and respond fast.