Checkly

Berlin, Germany
2017
  |  By Nočnica Mellifera
Starting today, Checkly users can send their traces from synthetics checks to Coralogix to view in-depth synthetic user data along with back-end APM based tracing. This gives SRE’s and Operations engineers a new insight into how the system is responding to automated synthetic tests of your service. For Checkly users, integrating with Coralogix data means it’s easy to correlate end-to-end user experience with backend performance, and track poor performance to its root cause.
  |  By Nočnica Mellifera
It’s 1am, and something has gone very wrong. The head of sales is in the incident response channel because our top customer is reporting a system-wide outage. Everyone’s running around trying to figure it out. As you look at service maps and traces, you get a sinking feeling. Earlier the previous evening, you got an alert that user-access-service was running out of memory.
  |  By Hannes Lenke
Today, I’m thrilled to announce two changes to our leadership team. We at Checkly aim to deliver the best synthetic monitoring platform that allows you to identify and resolve issues 10x faster. I’m proud to have crossed that 1,000-customer mark and aim to enhance your experience even further as we are just getting started and are excited about what technologies like Open Telemetry, Clickhouse and others will enable us to do in the future.
  |  By Rikard Nilsson
With an ever-growing market of digital products, it is becoming increasingly important for every business to ensure a high level of customer satisfaction. In the past, companies might have been able to get away with slow or messy websites. Today, if a customer gets frustrated even once, they will likely abandon your product in search of a better replacement.
  |  By Rikard Nilsson
We are very excited to announce that we redesigned our monitoring results chart to make it easier for you to understand check performance over time and easily investigate any past anomaly. The redesign is a result of our UX research that showed that the old check overview chart made it challenging for users to find check results from the past. While we were redesigning our monitoring results charts, we wanted to achieve two things: And, we achieved this in three attempts. Let’s dive in.
  |  By Nočnica Mellifera
I wish someone had told me that I shouldn’t hop between frameworks. Just like learning four programming languages in your first year, in my experience spending time content switching as a beginner is wasted effort. If I’d spent a solid year learning how to deploy services on AWS, then when it was time to learn Azure, I’d see more similarities than differences and find it a lot easier to pick up a second public cloud.
  |  By Checkly
Playwright offers robust capabilities for automating browser tests. A common question among developers, however, revolves around the best practices for structuring Playwright projects, especially when tests involve significant environment changes, resource creation, or database updates. This blog post describes strategies for running Playwright tests either in parallel or in sequence, optimizing your testing workflow for efficiency and reliability.
  |  By Sara Miteva
Cloud-native monitoring is all about keeping an eye on how well your cloud-based apps and services are doing. It's like having a health check-up for your digital operations, making sure everything runs smoothly and efficiently across distributed cloud systems.
  |  By Nočnica Mellifera
With end-to-end testing, efficiency is key. Every millisecond counts, especially when you're running a large suite of tests. Today, we'll dive into how you can use request interception in Playwright to significantly reduce the runtime of your scripts.
  |  By Nočnica Mellifera
When you’re implementing automated testing, clarity and maintainability of test scripts are as crucial as the tests themselves. Playwright offers a feature that enhances the readability and ease of debugging of your tests: test steps. This article explores how to use test steps in Playwright to document your test cases effectively.
  |  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!
  |  By Checkly
In this video we'll dive into the world of flaky tests in Playwright and synthetic monitoring with Checkly. We examine a site with poor Frontend hydration patterns, their effect on test stability, and how to work around them. Learn how to avoid using artificial delays and implementing a retry mechanism with Playwright's 'toPass()' method to achieve stable testing instead.
  |  By Checkly
Join us in today's video as we dive into the world of web accessibility testing with "axe-core". "axe-core" is used in Google Chrome's lighthouse and is quickly integrated in your Playwright end-to-end tests. We'll integrate "axe-core/playwright", detect accessibility issues, attach these to test reports and even integrate accessibility checks in Checkly's synthetic monitoring thanks to a new beta runtime.
  |  By Checkly
Discover the latest feature of Playwright 1.42 — `page.addLocatorHandler`. If you're tired of randomly appearing cookie banners breaking your end-to-end tests or want to automatically close all these intercom widgets, this method is right up your alley. With `addLocatorHandler`, handling elements that randomly pop up becomes a breeze! In the video, we'll show you how the new Playwright method works in practice and why it makes end-to-end testing and synthetic monitoring so much easier.
  |  By Checkly
APM tools promise a unified observability platform, yet they inherently focus on internal metrics, traces, and logs. This internal focus, while valuable, misses critical dimensions of the user experience and network performance that are essential for a complete understanding of application behavior in real-world scenarios. With Kentik you can dive deep into your network performance and find problems before they affect your users.
  |  By Checkly
In this video, we explore how to use the Checkly CLI to programmatically test and monitor Next.js API endpoints. We'll create a dynamic setup that detects new API GET URLs and use GitHub actions to test preview API deployments and deploy API monitoring after production deploys.
  |  By Checkly
Sometimes you want to follow along your Playwright tests without starting a full debugging session. Learn in this video how to slow down your Playwright end-to-end tests, to see and watch exactly what's happening in your testing scripts. Use the "slowMo" launch option configuration to add delays inbetween all Playwright actions. More cool Playwright and Synthetic Monitoring tips coming your way soon!
  |  By Checkly
In this video, Stefan from Checkly demonstrates how to monitor a login and authentication flow using Checkly and Microsoft's Playwright. Stefan guides you through the entire process. If you're interested in end-to-end testing or synthetic monitoring, this video is for you. Drop a question below or leave a comment!

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.