The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
At re:Invent this year, AWS announced its new digital twin service, AWS IoT TwinMaker (in preview), which allows users to create digital twins of real-world systems like buildings, factories, industrial equipment, and production lines. Using a digital twin to monitor and improve operations for a physical system requires ingesting data from IoT sensors, process instruments, cameras, and enterprise systems, and curating and associating data from these disparate sources.
Government agencies face challenges in moving forward with digital transformation. IT infrastructures are complex, and making sense out of massive amounts of disparate data is a struggle.
Checkout optimization can increase conversions by 36% (according to Sleeknote). And if your company struggles with a high cart abandonment rate, you’ll have to work on enhancing your user experience by removing blockers that lead to your customers abandoning their shopping carts. And for that, you will need to leverage qualitative and quantitative user research.
While I write this blog post, I reflect on the years of being a system administrator and the task of ensuring that no sensitive data made its way past me. What a daunting task right? The idea that sensitive data can make its way through our systems and other tools and reports is terrifying! Not to mention the potential financial/contractual problems this can cause.
Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers. Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment.