Microservices is a hot topic. Developers are quickly embracing the notion of developing modern applications made up of discrete, loosely coupled services that do one thing well. There are a number of benefits to developing applications this way, including enabling developers to scale and modify services independent of one another to support agile application development methodologies.
One particular type of microservice is the data microservice. Data microservices play an important role in supporting data-driven applications—those applications that consume and put to use insights from Big Data analytics and data science systems, for example. In this episode of Pivotal Insights, I speak with Vinicius Carvalho, a platform architect at Pivotal, who is at the forefront of the data microservices movement. Vinicius and I talk about just what a data microservice is, what the benefits to building applications using data microservices, and provide some examples of the types of applications that data microservices enable.
Visit http://pivotal.io/podcasts for show notes and other episodes.
- Download the episode and check us out on SoundCloud, subscribe to the feed directly, or on iTunes to have it automatically downloaded for you.
- Twitter: @jeffreyfkelly
- Feedback: firstname.lastname@example.org
About the Author
Jeff Kelly is a Principal Product Marketing Manager at Pivotal Software. He spends his time learning and writing about how leading enterprises are tapping the cloud, data and modern application development to transform how the world builds software. Prior to joining Pivotal, Jeff was the lead industry analyst covering Big Data analytics at Wikibon, an open source research and advisory firm. Before that, Jeff covered data warehousing, business analytics and other IT topics as a reporter and editor at TechTarget. He received his B.A. in American studies from Providence College and his M.A. in journalism from Northeastern University.Follow on Google Plus Follow on Twitter More Content by Jeff Kelly