It is an exciting time to be a startup. Our vast technological landscape has made powerful digital tools available to businesses of all sizes, making starting (and scaling) an organization easier than ever before. In an era where technology is a fundamental building block of almost every business, methodologies like DevOps have become ubiquitous across many industries.

To keep ahead of the curve, many organizations are looking at how to evolve their technical processes to accelerate their IT infrastructure development. Fast and robust deployments to the latest platforms are key to achieving the low lead times that enable this evolution. Two of the most widely-used technologies to host these deployments are serverless functions and containers. What are they, how do they differ, and how do you decide which is best for your application?

The software is getting more and more complicated and so is the infrastructure behind it. It is no longer what it used to be with a single web or application server and a database backing it up. Throughout the years, the infrastructure has become more and more complicated. We have multiple databases, queues, datastores, search engines, and configurations. We want to incorporate continuous delivery and automated testing and deploy everything easily.

Today at swampUP, our annual DevOps conference, JFrog CTO Yoav Landman unveiled the next step toward making the Liquid Software vision of continuous, secure updates a truly universal reality. We’ve introduced JFrog Connect, a new solution designed to help developers update, manage, monitor, and secure remote Linux & Internet of Things (IoT) devices at scale.

If you are new to Docker, you may find it challenging to understand all the terms. It can seem like everyone has a different idea of what Docker terms mean, and sometimes, terms get used interchangeably. For instance, you — like others who are learning about Docker — may wonder how a Docker image differs from a Docker container. Their contrasts are subtle but significant.