DigitalOcean, a cloud infrastructure firm, has acquired Nimbella, a three-year-old business that aims to simplify multicloud serverless software development. More information on the acquisition is yet to be announced.
DigitalOcean’s infrastructure-as-a-service (IaaS) technology is well recognised for assisting software developers in deploying and scaling applications across various cloud servers. The New York-based company has been on a roll over the previous six months, reaching a market cap of nearly $8 billion last week, an increase of 80 percent from its March valuation. Droplets, on-demand Linux virtual machines; a managed Kubernetes service that guarantees reliability and scalability for cloud-native apps; and, as of last October, an app platform for building and deploying apps as part of a platform-as-a-service (PaaS) offering are among DigitalOcean’s offerings. In addition, the company provides storage, networking, databases, and other services.
The term “serverless” refers to a cloud-native development approach that allows developers to build and execute apps without having to manage their own servers. Instead, they use third-party providers and are only charged for what they use.
Nimbella has a Kubernetes-based serverless platform, and it was founded in 2018, in California. The founders of Nimbella had earlier created Apache Openwhisk, an open-source serverless cloud platform that is used by Nimbella too. Nimbella is able to run on public and private clouds. This way it can provide support for hybrid and multicloud setups.
The acquisition will boost DigitalOcean’s current PaaS and IaaS offerings and will slowly add Nimbella’s serverless compute tooling with other important services and products of DigitalOcean.
DigitalOcean CEO Yancey Spruill told that serverless computing is the next level of cloud that helps developers out of complex infrastructure. He added that people long to have access to the advantages of serverless computing and they also want the functions and pricing to be easily understood and predicted.