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By Nočnica Mellifera
It’s every ops team’s biggest anxiety: a monitoring system detects a failure, but the notification either isn’t delivered or isn’t noticed by the team. Now we have to wait for users to complain before our team knows about the problem. Checkly sends an alert every time the system detects a failure, but how can you be sure you’re getting those alerts, and that those alerts are going to the right people?
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By Sara Miteva
Until recently, Checkly was telling you what broke in your app. Now, it can also tell you why it broke. We're excited to announce the general availability of Checkly Traces, a new addition to our synthetic monitoring platform that bridges the gap between frontend monitoring and backend observability. By combining synthetic monitoring with distributed tracing, Checkly Traces empowers development teams to detect, diagnose, and resolve issues faster than ever before.
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By Umut Uzgur
Checkly is a key part of a professional developer’s workflow, making it easy to know if your service is up or down, and measure performance. As we integrate with almost any development workflow, we also have Prometheus endpoints to let you use the popular Grafana stack to keep track of your site checks’ status. As large enterprise users grew in usage, their check performance data grew in parallel, and our endpoint started returning occasional 429 status codes.
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By Hannes Lenke
I recently talked to a customer of Checkly and he shared some thoughts about Monitoring as Code. Let’s call him Karl in this article. Karl and I talked about why Monitoring as Code (MaC) is becoming essential for teams operating at scale. As the Head of Platform Engineering at a major e-commerce company processing millions of transactions daily, his experience shows how MaC solves a lot of the messy challenges that come with traditional synthetic monitoring setups.
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By Daniel Paulus
Several years ago—in 2016, to be exact—we decided to host the Checkly platform on Heroku, since it was the hosted cloud offering (at the time) that best aligned with our needs. In particular, we felt that Heroku offered the best PostgreSQL cloud offering available at the time.
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By Nočnica Mellifera
When making changes to your production services, it’s important to have a plan for how to detect problems and roll back changes. How many roll out plans would include: “if it breaks, don’t worry, the users will tell us!” But if your monitoring coverage of production services isn’t complete, you’re implicitly relying on your users to tell you when something breaks.
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By Stefan Judis
People keep asking us here at Checkly if and how AI can help create solid and maintainable Playwright tests. To answer all these questions, we started by looking at ChatGPT and Claude to conclude that AI tools have the potential to help with test generation but that "normal AI consumer tools" aren't code-focused enough. High-quality results require too complex prompts to be a maintainable solution.
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By Nočnica Mellifera
We all implement tools to monitor our nodes and keep our entire cluster up and running. But how often do updates, failures, or errors mean that users suffer outages, even though our status boards look green? As Kubernetes has enabled more complex microservice architecture, the gap between the state of the dashboard, and the health of services for the user, has grown wider.
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By Stefan Judis
I'm a bit of an AI skeptic. And even though GitHub Copilot is my daily auto-completion on steroids, I always double-check the code generated by LLMs. If you're using AI for coding, you probably know that the results are sometimes surprisingly good and other times shockingly terrible. Lately, I have seen more and more articles and even docs recommending ChatGPT to generate Playwright tests. Could this be true? Are ChatGPT and friends really that good at generating test code?
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By Stefan Judis
Thanks to Microsoft's Playwright, running end-to-end tests with real browsers is quickly done. Initialize a new Playwright project, install all the dependencies, and off you go! Then, any new headless browser test run is only one npx playwright test away. But have you checked all the test command's CLI options? playwright test includes a few real gems to help you create better tests faster. Let me share a mixed bag of my favorite CLI tricks in this post.
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By Checkly
Join Stefan Judis, Playwright ambassador, as he explains how to use Playwright's CodeGen command to turn browser actions into executable Playwright end-to-end test code.
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By Checkly
Join Stefan Judis, Playwright ambassador, as he explains how to use Playwright's `expect.any()` and `toMatchObject()` methods to implement a simple and basic API response schema validation.
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By Checkly
Join Stefan Judis, Playwright ambassador, as he explains how to use the Playwright CLI flags "--repeat-each" and "--only-changed" to identify flaky tests before adding them to your project.
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By Checkly
Join Stefan Judis, Playwright ambassador, as he explains how to automatically monitor your frontend for JavaScript exceptions while testing your sites and apps end-to-end.
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By Checkly
Join Stefan Judis, Playwright ambassador, as he explains the importance of Playwright's auto-waiting feature, ensuring you don't need to check if elements are actionable. Playwright does it for you, and this functionality simplifies your testing code and speeds up your test execution time.
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By Checkly
Join Stefan Judis, Playwright Ambassador, as he looks into different Playwright test order execution modes. Learn how to effectively use the "fullyParallel" option and understand the differences between "parallel", "serial" and "default" test case execution. If you have questions or feedback, drop a comment below! And don't forget to subscribe for more Playwright tips!
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By Checkly
Join Stefan Judis as he explores GitHub Copilot for Playwright scripting and end-to-end test generation! Will Copilot and its new custom instructions beat Playwright Codegen in terms of code quality and generation time? Let's find out! Let's find out in this video!
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By Checkly
Dive into the latest Playwright 1.49 release with Stefan Judis, Playwright ambassador, as he discusses "toMatchAriaSnapshot", a new assertion for end-to-end page validations. In this video, Stefan discusses using recommended Playwright locators, the importance of ARIA and accessibility in end-to-end testing and demonstrates the new "toMatchAriaSnapshot" assertion.
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By Checkly
Can AI generate good Playwright code? Join Stefan as he explores AI-driven Playwright scripting, using tools like the language models ChatGPT and Claude. Watch as he demonstrates the capabilities of Playwright's 'codegen' command and pits it against AI-generated test scripts. Despite initial skepticism, the results from AI were surprising!
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By Checkly
Join Stefan Judis, Checkly's Playwright ambassador, as he shows you how to make your end-to-end testing life easier using Playwright's automatic fixtures. Learn how to implement global "beforeEach" and "afterEach" test hooks to add runtime annotation and JavaScript exception monitoring without repeating yourself across spec files.
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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.