Operations | Monitoring | ITSM | DevOps | Cloud

Google Lighthouse has been one of the most effective ways to gamify and promote web page performance among developers. Using Lighthouse, we can assess web pages based on overall performance, accessibility, SEO, and what Google considers “best practices”, all with the click of a button. We might use these tests to evaluate out-of-the-box performance for front-end frameworks or to celebrate performance improvements gained by some diligent refactoring.

The global AdTech market is experiencing exponential growth, driven by the rising demand for speed, personalized advertising, and the proliferation of digital platforms. Key trends include the rise of connected TV (CTV) advertising, in-app advertising, rich media, and interactive ads, as well as the growing importance of privacy and data security.

Web transaction monitoring tracks and analyzes user interactions on a website. It looks at the user's path, from page load to action completion.

In this blog series we are examining the Five Myths of Apache Spark Optimization. So far we’ve looked at Myth 1: Observability and Monitoring and Myth 2: Cluster Autoscaling. Stay tuned for the entire series! The third myth addresses another common assumption of many Spark users: Choosing the right instances will eliminate waste in a cluster.

Monitoring webhook performance is crucial to ensure reliable and efficient communication between your software/application and external services, as delays or failures in webhook processing can lead to significant data loss or service disruptions. Additionally, performance monitoring helps identify bottlenecks and optimize the system, ensuring a smooth and responsive user experience.

The consequences of not patching are everywhere: remember the Log4j vulnerability that grants hackers complete access to your devices? The best way to prevent this from happening is to use a patched version of Log4j — so why did this become a catastrophic and prolific security vulnerability event? A: Because people hate, forget, or simply dismiss patching as a labor-intensive part of managing their infrastructure.