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.

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.

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.

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.

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.

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.

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.

Ensuring your web application is accessible is not just about compliance; it's about inclusivity. Tools like Google Chrome's Lighthouse provide a starting point for accessibility checks. but integrating these checks into your development workflow can significantly enhance the quality of your product. This post explores how to perform automated accessibility checks using Playwright and Checkly, leveraging the power of the axe-core library.

Welcome to the Tech Garden, a place where our monitoring tools, like to diverse flora, contribute to a thriving digital ecosystem. Our journey starts with the foundational roots of Application Performance Monitoring (APM), crucial for initial growth and stability, like the roots beneath our fruit trees.

When we talk about keeping services running smoothly, we often hear about SLAs, SLOs, and SLIs. But what do these terms mean, and how are they different? SLAs, or Service Level Agreements, are like promises between a service provider and a customer. They outline what the customer can expect in terms of service quality.