•  

Rama with Nathan Marz

0
0




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.



Please click here to see the transcript of this episode.


Sponsorship inquiries:sponsor@softwareengineeringdaily.com




The post Rama with Nathan Marz appeared first on Software Engineering Daily.


No comments yet...
Log in to comment
New
0 0 0
Yesterday

Engineering the Playdate Gaming Handheld with James Moore and Dave Hayden

Panic has created games such as Firewatch and Untitled Goose Game. They recently ventured into gamin…
0 0 0
2024-04-30

Using LLMs for Training Data Preparation with Nihit Desai

Machine learning models learn patterns and relationships from data to make predictions or decisions.…
0 0 0
2024-04-25

AI-Driven Observability at Kentik with Avi Freedman

Kentik is a network observability platform that focuses on letting users easily ask questions and ge…
0 0 0
2024-04-24

SolidJS with Ryan Carniato

Solid.js is a popular JavaScript framework known for its reactive and efficient rendering system. In…
0 0 0
2024-04-23

Database Scaling at Figma with Sammy Steele

Sammy Steele is a Senior Staff Engineer at Figma, and the tech lead for their databases team. She pr…
0 0 0
2024-04-19

Bonus Episode: How to Build a Self-Driving Car with Ian Williams

Autonomous vehicle engineering is a huge challenge and requires the integration of many different te…

Software Engineering Daily

Technical interviews about software topics.

Log in to Follow

More episodes from Software Engineering Daily

Top Podcasts Top rated Podcasts