Python support for Azure Functions is now generally available and ready to host your production workloads across data science and machine learning, automated resource management, and more.
Legacy systems can be a nightmare for any business to maintain. In the insurance industry, carriers struggle not only to maintain these systems but to modify and extend them to support new business initiatives.
Personal computers revolutionized the way work was done. New software unlocked unprecedented levels of productivity, and for a time, business flourished. As the personal computer exploded in popularity, more and more software was created. For the individual, this was a golden age.
Elasticity means services can expand and contract on demand. This means Microsoft Azure customers who are on a pay-as-you-go plan will reap the most benefit out of Azure services.
Starting the process of migrating to the cloud can be daunting. Legacy systems that are colossal in scale often overwhelm the average team tasked with the mission of digital transformation.
Serverless technologies are reshaping how we think about business. How, though, do important technological innovations such as autoscaling, fully managed infrastructure, and execution-based pricing make a tangible business impact?
We’ve made it our mission to provide powerful yet simple-to-use IoT offerings across cloud and edge, so that our partners and customers can quickly move from idea, to pilot, and then production without the need for deep expertise.
Azure Functions constantly innovates so that you can achieve more with serverless applications, enabling developers to overcome common serverless challenges through a productive, event-driven programming model.
Spotlight Cloud is the first built on Azure database performance monitoring solution focused on SQL Server customers.
As companies of all sizes move their assets and workloads to the cloud, there’s a clear need to provide more powerful ways to manage, govern, and automate their cloud resources. Such automation scenarios require custom logic best expressed in PowerShell.
