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Understanding Scale and Tech Debt in Engineering

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Treść dostarczona przez Elevano. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Elevano lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

In this podcast episode, the host interviews Brian Young, Director of Engineering at Grindr, about the concepts of scale and tech debt in the tech industry. Brian shares insights from his career at major companies like Wayfair and Amazon, highlighting the unique challenges each faced with scaling their systems. He explains the CAP theorem and its implications on consistency, availability, and partition tolerance within large-scale applications. The conversation also delves into the balance of art and science required in scaling, the significance of 'YAGNI' in software design, and the necessity of revisiting technical debt. Brian discusses how contextual understanding is vital for addressing tech debt and explores new technologies like AI-assisted coding tools, which may aid in managing tech debt in the future.

Highlights:

00:47 Understanding Scale in Tech

02:48 Designing for Scale at Amazon

05:20 Scaling Strategies at Grindr

06:31 The Art and Science of Scaling

09:59 Technical Debt: A Necessary Evil?

17:53 The Role of Context in Software Engineering

20:50 Future of Tech Debt and AI Solutions

Guest:

Brian Young (he/him) is Director of Engineering at Grindr, the number 1 social network for the LGBTQ+ community. With more than 13 million monthly active users in virtually every country, Grindr has become a fundamental part of the LGBTQ+ community since its launch in 2009. The company continues to expand its ecosystem to enable gay, bi, trans, and queer people to connect, express themselves, and discover the world around them. Brian has spent 25 years in the software industry as an engineer and leader and has worked at large companies, including Amazon and Wayfair, and start-ups. Brian has built high-scale / low-latency distributed systems, microservices, backend solutions, web apps, and mobile apps and worked in almost every tech stack from dcom and dll hell to modern cloud-based microservices.

LinkedIn: https://www.linkedin.com/in/briankyoung/

----

Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player.

Want to learn more about us? Head over at https://www.elevano.com

Have questions or want to cover specific topics with our future guests?

Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

  continue reading

367 odcinków

Artwork
iconUdostępnij
 
Manage episode 445654449 series 2833920
Treść dostarczona przez Elevano. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Elevano lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

In this podcast episode, the host interviews Brian Young, Director of Engineering at Grindr, about the concepts of scale and tech debt in the tech industry. Brian shares insights from his career at major companies like Wayfair and Amazon, highlighting the unique challenges each faced with scaling their systems. He explains the CAP theorem and its implications on consistency, availability, and partition tolerance within large-scale applications. The conversation also delves into the balance of art and science required in scaling, the significance of 'YAGNI' in software design, and the necessity of revisiting technical debt. Brian discusses how contextual understanding is vital for addressing tech debt and explores new technologies like AI-assisted coding tools, which may aid in managing tech debt in the future.

Highlights:

00:47 Understanding Scale in Tech

02:48 Designing for Scale at Amazon

05:20 Scaling Strategies at Grindr

06:31 The Art and Science of Scaling

09:59 Technical Debt: A Necessary Evil?

17:53 The Role of Context in Software Engineering

20:50 Future of Tech Debt and AI Solutions

Guest:

Brian Young (he/him) is Director of Engineering at Grindr, the number 1 social network for the LGBTQ+ community. With more than 13 million monthly active users in virtually every country, Grindr has become a fundamental part of the LGBTQ+ community since its launch in 2009. The company continues to expand its ecosystem to enable gay, bi, trans, and queer people to connect, express themselves, and discover the world around them. Brian has spent 25 years in the software industry as an engineer and leader and has worked at large companies, including Amazon and Wayfair, and start-ups. Brian has built high-scale / low-latency distributed systems, microservices, backend solutions, web apps, and mobile apps and worked in almost every tech stack from dcom and dll hell to modern cloud-based microservices.

LinkedIn: https://www.linkedin.com/in/briankyoung/

----

Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player.

Want to learn more about us? Head over at https://www.elevano.com

Have questions or want to cover specific topics with our future guests?

Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

  continue reading

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