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The Checkly development team is continually improving our platform and user experience, and we’re excited to unveil some new features that we’ve been working on during our first ever Checkly Launch Week. From October 11th through 14th, we’ll be announcing and discussing our latest innovations, new features, functionality, and capabilities for users every single day of the week.
Welcome to day one of our very first Launch Week! In the upcoming days, we’ll release new features every day. We’ll share new alerting capabilities, unlock the power of Playwright, and will talk about new ways to control and write your Browser checks. It’ll be a nice feature and improvements mix, trust me! To kick things off, let’s have a look at what’s new in the world of monitoring and alerting.
Have you ever experienced the problem where your code is broken in production, but everything runs correctly in your dev environment? This can be really challenging because you have limited information once something is in production, and you can't easily make changes and try different code. Speedscale production data simulation lets you securely capture the production application traffic, normalize the data, and replay it directly in your dev environment. There are a lot of challenges with trying to replicate the production environment in non-prod.
From entertainment to security, automation is now pervasive. Intelligent devices are transforming our homes while enriching our lives, making them more efficient, productive and environmentally friendly. Most embedded devices run Linux, and their number is poised to keep growing.
A New Season NFL Football season is upon us. And while I get to spend several hours watching my favorite team, my colleagues at Zebra MotionworksTM are revving up their analysis and insights as "The Official On-Field Player-Tracking Provider" of the NFL. As a fan, I'm amazed by all the information from tracking technology. Besides being cool, it captures data points that weren't even possible before and provides detailed views of players' health and performance.
Profilers measure the performance of a program at runtime by adding instrumentation to collect information about the frequency and duration of function calls. They are crucial tools for understanding the real-world performance characteristics of code and are often the first step in optimizing a program. Apple and Google have first party profiling tools, but they are only usable for local debugging during development.
Many developers don’t know what instrumentation really is, and those who do don’t really understand the black magic that takes an application and makes it emit telemetry, especially when automatic instrumentation is involved. On top of that, each programming language has its own tricks. I wanted to unwrap this loaded topic on my podcast, OpenObservability Talks. For this topic I invited Eden Federman, CTO of Keyval, a company focused on making observability simpler.
