Architecting for Scale with Lee Atchison
Lee Atchison spent seven years at Amazon working in retail, software distribution, and Amazon Web Services. He then moved to New Relic, where he has spent four years scaling the company’s internal architecture. From his decade of experience at fast-growing web technology companies, Lee has written the book Architecting for Scale, from O’Reilly.
As an application scales, it becomes significantly more complicated while at the same time receiving more traffic. The intersection of these two problems leads to a variety of discussions around availability, risk management, and microservices.
Transcript provided by We Edit Podcasts. Software Engineering Daily listeners can go to weeditpodcasts.com to get 15% off the first three months of audio editing and transcription services with code: SED. Thanks to We Edit Podcasts for partnering with SE Daily. Please click here to view this show’s transcript.
Data engineers struggling with unreliable data rely on Monte Carlo, the world’s first end-to-end, fully automated Data Observability Platform! Monte Carlo enables data teams with visibility into the quality and reliability of their analytical data to maximize business impact. Start trusting your data with Monte Carlo today! Visit softwareengineeringdaily.com/montecarlodata
to learn more.
At mParticle, we believe that better decisions start with better data. Cleanse, visualize, and connect your customer data from any source or system to any API.
Better data, better decisions, better outcomes.
to learn how teams at Postmates, NBCUniversal, Spotify, and Airbnb use mParticle’s customer data infrastructure to accelerate their customer data strategies.
Capital One believes everyone deserves better banking. This means easier access to your money and more security. That’s why Capital One is investing in machine learning. Machine Learning allows Capital One to do things like Fight fraud with random forests. Identify how mobile app outages happen with casual models. Speed up online shopping with machine learning at the edge. The potential of machine learning is so big. See how Capital One is using machine learning to create the future of banking. Machine learning at Capital One. What’s in your wallet? Visit
StrongDM is the only modern infrastructure access platform.
It creates a seamless, secure, and observable air gap between your staff and the critical infrastructure that powers your company.
Trusted by your peers at Peloton, SoFi, Yext, and Chime, strongDM is the only way to deploy secure access controls in a way folks love to use.
But who believes in an ad? Check it out for yourself with a no-BS demo. Sign up at
Understand nested relationships across your microservices with distributed tracing and observability. Wrangling production complexity doesn’t have to be hard. Make tracing powerful, effective, and easy! Use Honeycomb for free at