Rama with Nathan Marz

Building scalable software applications can be complex and typically requires dozens of different tools. The engineering often involves handling many arcane tasks that are distant from actual application logic. In addition, a lack of a cohesive model for building applications can lead to substantial engineering costs.

Nathan Marz is the creator of Rama, which is a platform for building end-to-end, scalable backends. Previously Nathan led engineering at BackType which was acquired by Twitter in 2011. In addition, Nathan created the Apache Storm project and is the author of the book Big Data: Principles and best practices of scalable realtime data systems. Nathan joins the podcast today to talk about Rama, and how to build scalable software applications.

This episode is hosted by Lee Atchison. Lee Atchison is a software architect, author, and thought leader on cloud computing and application modernization. His best-selling book, Architecting for Scale (O’Reilly Media), is an essential resource for technical teams looking to maintain high availability and manage risk in their cloud environments.

Lee is the host of his podcast, Modern Digital Business, an engaging and informative podcast produced for people looking to build and grow their digital business with the help of modern applications and processes developed for today’s fast-moving business environment. Listen at mdb.fm. Follow Lee at softwarearchitectureinsights.com, and see all his content at leeatchison.com.

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The AI features helped summarize and cluster the information, making it easier to understand and work with. I’m also impressed with Miro AI’s ability to auto-generate images from text. This has a lot of value for software and product teams that need to do dynamic brainstorming and idea development.

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