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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.
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.
Please click here to see the transcript of this episode.
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Miro is one of the platforms that I think has been really creative about how it’s incorporating AI. I created a dependency mapping on a Miro board to help think through a new software system. The idea was to visualize direct and indirect dependencies, and refine the connections between them.
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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