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.

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

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.

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.

‘Everything LTS’ – Canonical will build distroless Docker images to customer spec that include upstream components not packaged in Ubuntu, and fix critical CVEs within 24 hours, supported on RHEL, Ubuntu, VMware or public cloud K8s for 12+ years.

Do you need a “Cloud Exit Strategy”?. In recent years, cloud services have become an integral part of the digital infrastructure for businesses of all sizes. Organizations are increasingly leveraging cloud computing to enhance their operations.