This episode is a panel discussion from the microservices track QCon Plus, held in May 2021. Track host Nicki Watt asks "What have we learned over the last decade of microservices." The panelists included Chris Richardson, James Lewis, and Katie Gamanji. The discussion started with looking at how the meaning of "microservices architecture" has evolved over the past ten years. There were some great insights about how successfully developing, deploying, and maintaining software depends as much or more on cultural and environmental factors, than simply adopting microservices and all the tools and technology that now exist.

Read a transcript of this interview: https://bit.ly/3rOTrD7

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Transcript

What Have We Learned Over the Last Decade of Microservices?

In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Dr. Elizabeth Lawler, the founder and CEO of AppMap, about observability in the age of AI, creativity in programming and problems developers face on a day-to-day basis. 

Read a transcript of this interview: https://www.infoq.com/podcasts/observability-through-ai/

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Making Code Explain Itself – Observability Through AI

In this podcast Shane Hastie, Lead Editor for Culture & Methods, spoke to Alex Qin following on from her QCon London talk “Shaving My Head Made Me A Better Programmer”.

Why listen to this podcast:

- Casual discrimination and unconscious bias is rife in society, and very prevalent in tech
 - The need to have many more people in the field who don’t fit the preconceived mould of a programmer
 - The complexity of the overall system means we need to tackle discrimination at many levels in many different aspects
 - One person can make a difference
 - Call things out when you see things that are wrong – speak up, show up and shield those who can’t shield themselves

More on this: Quick scan our curated show notes on InfoQ http://bit.ly/2ugjaZY

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Show Notes

Alex Qin on Leveraging Technology to Create Positive Social Change

Software engineers, architects and team leads have found inspiration to build better, high performing teams by listening to the weekly InfoQ Podcast. We have achieved that by interviewing some of the top CTOs, engineers and technology directors from companies like Uber, Netflix and more. Over 500,000 downloads in the last 3 years.

Making Code Explain Itself – Observability Through AI

Engineering Culture by InfoQ

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