Ensuring performance: How major retailers leverage user traffic to validate code changes

Software development and testing is ultimately all in preparation for go-live. But what if you could predict how your go-live could go wrong? Modern cloud engineering teams at organizations such as Uber, DoorDash, and Google ‘mirror’ or ‘shadow’ traffic to see if new builds are ready for primetime. They’ve found that leveraging their own production traffic is key to optimizing throughput and latency, as well as knowing whether code changes are impacting the resource consumption of their clusters. In this webinar, we’ll share our top takeaways from helping large retailers use traffic to validate their code changes. Join us to learn how traffic-based tests and mocks can accurately simulate peak load conditions, ensure performance, and increase your topline revenue.

Visit www.speedscale.com to learn more about production traffic replication, or to start a free trial!

Visit www.speedscale.com to learn more about production traffic replication, or to start a free trial!

About the presenter:

Nate Lee, Co-founder and VP of Sales, Speedscale

Nate has served a variety of roles within the software industry. Most recently, he was in enterprise sales for the digital transformation consultancy Contino (acquired by Cognizant). Prior to Contino, he served as Product Manager at CA Technologies, by way of iTKO where he was a Presales Engineer for 6 years. Before iTKO, he spent time as a support leader at IBM Internet Security Systems, and engineer at ILC (acquired by General Dynamics). He graduated from Georgia Tech with an MBA in Technology, and BS in Computer Science. You’ll most likely find him outdoors on 2 wheels when he’s not innovating with his Speedscale buddies.

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