When you build a cloud-based application, you can choose to deploy the resources using the GUI (Graphical User Interface) or CLI (Command Line Interface) provided by the cloud provider. This approach can work well with just a handful of resources, but as the complexity of your application increases, it can become difficult to manage the infrastructure manually.
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The complexity of modern information technology (IT) infrastructures has grown exponentially and changed the way software companies operate and deliver products and services. The days of a single application server and a simple delivery path are long gone. Today’s application development and delivery process can encompass multiple platforms, cloud vendors, code libraries and customer bases.
GitLens is a popular extension built for Visual Studio Code that helps developers extract the powerful insights hidden within Git code repositories. This VS Code extension makes development effortless by providing tools to quickly glance through, compare, and track each line of a code. It also helps address the drawbacks and intrusiveness of native Git features in large-scale projects.
Michael Stefferson received his PhD in Physics from the University of Colorado before deciding to make the jump into machine learning (ML). He spent the last several years as a Machine Learning Engineer at Manifold, where he first started working on projects in the healthcare industry. Recently, Stefferson joined the team at Cerebral as a Staff Machine Learning Engineer and hopes to leverage data to make clinical improvements for patients that will improve their lives in meaningful ways.
