Operations | Monitoring | ITSM | DevOps | Cloud

With over 7 billion mobile users worldwide, there’s almost one device for every person on the planet. Not surprisingly, the most popular apps are dominated by social media, messaging and entertainment platforms. But consumers are also shopping and managing finances via mobile devices. And while most users are accustomed to waiting a few seconds for a web application response, mobile users are less forgiving and expect an instant reaction to their swipes and taps.

Monitoring and troubleshooting distributed systems like those built with microservices is challenging. Traditional monitoring tools struggle with distributed systems as they were made for a single component. Distributed tracing solves this problem by tracking a transaction across components. In this article, we will implement distributed tracing for a Java Spring Boot application with three microservices.

Virtual machines (VMs) have been around for quite some time now and have become a cornerstone of modern-day IT infrastructure. They provide a convenient way to run multiple operating systems on a single physical machine, allowing users to consolidate their hardware and save costs. However, as VM technology has evolved, newer versions of VMs have been introduced, such as generation 1 and generation 2 VMs.

As a Senior Product Manager at Mezmo, I understand the challenges businesses face in managing data complexity and the higher costs that come with it. The explosion of data in the digital age has made it difficult for IT operations teams to control this data and deliver it across teams to serve a range of use cases, from troubleshooting issues in development to responding quickly to security threats and beyond.

Welcome to this three-part mini-series on real-time Linux. In Part I, we set the stage for the remainder of the series by defining a real-time system, and went through common misconceptions. We also covered the broad market applications of a real-time Linux kernel. Several applications across a wide range of use cases and verticals require real-time computing capabilities. Sectors like industrial automation, energy and transportation have strict precision requirements for their systems.

Back in October of 2022 we unveiled the beta of @playwright/test. We’re now happy to announce that Playwright Test (PWT) is now generally available! We’ve worked hard to make Checkly the best way to run your Playwright tests, and we’ve also decided to make Playwright—which is experiencing a surge in usage and popularity— the default and recommended web testing framework to use with Checkly.

Hey there, We were thrilled to see Livecycle.io's recent article on "Why Qovery Preview Environments Are So Valuable to Development Teams"! We truly believe in the power of our preview environments, and we're excited to share this summary with you. So, if you're interested in learning more about what Livecycle.io is and how they can make our preview environments event better, keep reading.

Would you believe us if we say that the term “remote management” was once a nightmare for conservative or old-school managers? No matter how much it seems to be hyped today, there was a time when remote management was considered a nightmare for several dated enterprise owners across the globe. After the massive COVID pandemic hit, the concept of remote working seems to have leveled up. Did we mention this is not going to be easy though?