Checkly

Berlin, Germany
2017
  |  By Sara Miteva
Traditional monitoring has become insufficient for managing complex systems. Modern infrastructures consist of numerous interconnected services, and simply monitoring individual metrics and logs fails to provide a comprehensive view. This is where observability becomes crucial.
  |  By Tim Nolet
This guide goes into the fundamentals, practical applications and tips & tricks of using OpenTelemetry (OTel) to monitor your Next.js application. OpenTelemetry is gaining (a lot) of momentum outside of its historical niche of distributed, micro services based application stacks. But, as it turns out you can just as well use it for more traditional, three tiered, web applications and it comes with a host of benefits.
  |  By Stefan Judis
When you invest time and effort into creating a well-running end-to-end test suite or adopt Playwright synthetic monitoring with Checkly, you should focus on two things. Your tests must be stable because few things are worse than an unreliable test suite. But also, your tests must be fast because no one wants to wait hours to receive the green light when you're on the edge of your seat to deploy this critical production hotfix.
  |  By Hannes Lenke
I'm excited to share that Gartner has included Monitoring as Code (MaC) as an emerging practice to their Hype Cycles for SREs again, the second year in a row. Since we founded Checkly, our vision has been that monitoring should sit in your repository, be codified, and scale with your software development. There is no alternative to MaC as it allows your engineering team(s) to work together, create and maintain checks, and ultimately own their monitoring.
  |  By Nočnica Mellifera
Monitoring JavaScript log messages is how you know, at a basic level, what the browser’s JavaScript engine is doing in detail. Playwright provides an efficient way to listen for console logs and uncaught exceptions in your pages. This capability is invaluable for developers and testers aiming to catch and resolve issues early in the development cycle. This article will guide you through the process of setting up Playwright to monitor JavaScript logs and exceptions, enhancing your testing strategy.
  |  By Jonathan Canales
Starting a few weeks ago, according to npmtrends.com, Playwright surpassed Cypress in npm downloads, indicating that more projects are starting with Playwright as their preferred automation framework.
  |  By Nočnica Mellifera
Visual regression testing ensures that your web application looks as expected and that any visual changes are intentional. These tests amount to comparing two screenshots and looking for pixels that are different. With Playwright, you can achieve this with just a few lines of JavaScript. Let's walk through the process using a simple example. Once we’ve done a visual regression test start to finish in Playwright, we’ll show how you can add Checkly tools to create visual regression monitors.
  |  By Sara Miteva
OpenTelemetry (OTel) Metrics are part of the OpenTelemetry project, which provides tools, APIs, and SDKs for telemetry data collection. These metrics capture system performance data like request latency, error rates, resource usage, and throughput. OTel aims to standardize observability across languages and platforms, making it easier to use and integrate telemetry data. Metrics are one of three core signals of OpenTelemetry along with logs and traces.
  |  By Jan Grzesik
What’s the point of observability? Surely if you write good code, maintain it, handle tech debt, and administer its resources correctly, it’ll run great? Why would you need to keep a close eye on services that have already been tested and are working great? In this article I want to show how continuous monitoring of your systems closely, with tools like Checkly and Coralogix, can find problems that would have been impossible to predict or pre-optimize.
  |  By Checkly
If you're using Playwright, either on its own or for synthetic monitoring with Checkly, you might have heard about writing Playwright scripts in a user-first manner. This approach focuses on interacting with the UI as a user would, such as clicking buttons or submitting forms, and then waiting for the UI to reflect the changes. However, sometimes you need to intercept and analyze the network layer to verify that your UI is getting the right responses from its supporting API.
  |  By Checkly
When adopting Playwright, it can be tough to know if you're following the right design principles for a process that will work at scale. For those Cypress users, check out Cypress at Scale. Join Jonathan and Filip as we explore how mature organizations and effective teams adopt Playwright. We'll cover what we've seen in the wild and key considerations. — Fundamentals & principles: You'll understand what Playwright is and its design principles.
  |  By Checkly
In this video, I'll show you how to only check certain parts of a page with a Playwright screenshot test, also known as a visual regression test.
  |  By Checkly
Discover how to improve your end-to-end monitoring alerts with Checkly's new feature: degraded browser check runs. In this video, you'll learn how to extend your Playwright tests to mark test runs as "degraded" under certain conditions. Marking checks as degraded gives you more control over critical alerts and you'll gain more insights into your monitoring results.
  |  By Checkly
This video covers how to use Checkly's browser checks to monitor your entire infrastructure with headless Chrome. We'll explain how Microsoft's end-to-end testing framework Playwright powers Checkly's browser checks, use code generation and set up a new browser check from scratch.
  |  By Checkly
This video covers how to use Checkly's API checks and active synthetic monitoring to streamline your API monitoring process and detect issues faster. We'll set up a new API check to monitor one of Checkly's API endpoints and go step-by-step from configuring the API request to defining essential headers, monitoring details and retry strategies.
  |  By Checkly
This webinar introduces an approach to visual regression monitoring, utilizing Playwright and Checkly. Playwright, an open-source end-to-end testing framework supported by Microsoft, enables you to simulate complex paths through your site. Checkly, which uses playwright to create synthetic service monitors, enables the execution of visual regression tests at regular intervals. This combination alerts developers to potential interface problems before they become visible to users.
  |  By Checkly
Locating elements in your end-to-end tests can sometimes be a challenge. In this video, we tackle the problem of hard-to-locate elements by chaining multiple locators using `locator().and()`. By chaining locators you'll be able to combine user-first locators with specific locators reaching for a test id or CSS class.
  |  By Checkly
In today's video, we explore a lesser-known feature of Microsoft's Playwright - API Testing. We'll illustrate how to use Playwright for testing GraphQL as an example of an HTTP-based API; RESTful APIs can be tested too. We'll explain the usage of the 'request' fixture with Playwright, parse responses and validate their correctness. Moreover, we'll delve into executing multiple API requests in a single Playwright test case while testing their responses.
  |  By Checkly
Learn how Checkly's new multistep checks help you to decrease incident response times with synthetic monitoring. Use multistep checks to chain and manage multiple API requests, run custom code for response validation, and get accurate alerts when incidents occur. This video explains how to create a multistep check to monitor a RESTful API from scratch. Do you have questions? Join our vibrant Checkly community on Slack and explore further!
  |  By Checkly
Page object models (POM) are common to encapsulate test automation logic and improve code readability. Learn in this video how to combine POMs and Playwright fixtures for effective end-to-end testing and synthetic monitoring with an excellent developer experience. Got questions? Join the Checkly community Slack. And tune in next week for more on Playwright, Synthetic Monitoring, and API Monitoring. Happy testing!

Downtime caused by API performance has serious business impact. Use Checkly's deep but easy to use API monitoring solution to check your mobile, webapp or IoT API for performance, uptime and correctness.

Checkly is the easiest way to monitor your API's and Browser click flows from a single dashboard. Use a powerful assertions engine to check all your (mobile) API's for timeliness and correctness. Use javascript to check your most crucial browser transactions. Built specifically for developers and ops teams.

We run your checks from multiple global data centers and alert you when things go south with SMS, Pagerduty etc. Add team mates, call checks from your CI/CD pipeline and publish a status page under a custom domain. We also do SSL expiry checks!

Features at a glance:

  • No more broken APIs: Make sure your API is always responds quickly and with the correct payload. Get started quickly with our Swagger or cURL importer and super easy API monitor creator.
  • No more broken shopping carts: Monitor and validate your most crucial site transactions like logins, shopping carts and onboarding flows. Take screenshots to get instant insights into what's working and what's not.
  • Alerting without limits: Keep your team up to date with a generous helping of SMS messages and unlimited email, Pagerduty, Slack and web hook notifications. Control exactly how, when and how often you get alerted. Of course, "double-checking" is enabled by default to never get false positives.
  • Insights without limits: Doing a root cause without complete and accurate data is insane. But too much detail can also be distracting. That's why next to calculating aggregates to keep an overview, Checkly stores each and every raw result for you and your team to dive into.

A better way to monitor your APIs and site click flows.