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061 Serverless Performance, Monitoring and Best Practices from Fender

061 Serverless Performance, Monitoring and Best Practices from Fender

FromPurePerformance


061 Serverless Performance, Monitoring and Best Practices from Fender

FromPurePerformance

ratings:
Length:
55 minutes
Released:
May 7, 2018
Format:
Podcast episode

Description

Serverless comes with its own set of best practices, quirks and benefits when it comes to monitoring and performance engineering.In this episode we have Michael Garski, Director of Platform Engineering at Fender Musical Instruments ( https://www.linkedin.com/in/mgarski/ ), giving us a technical deep dive into lessons learned and best practices they learned when re-platforming their architecture to AWS Lambda. We get to learn about optimizing Cold Starts, Re-Using HTTP Connections, Leveraging API Gateway Caching and finding the sweet spot for CPU & Memory settings to optimize price/performance of AWS Lambda executions.For more details check out Michael’s slides on Innovating Through React Native Mobile Apps. ( https://www.slideshare.net/AmazonWebServices/innovating-through-react-native-mobile-apps-with-fender-musical-instrumentspdf )
Released:
May 7, 2018
Format:
Podcast episode

Titles in the series (100)

The brutal truth about digital performance engineering and operations.Andreas (aka Andi) Grabner and Brian Wilson are veterans of the digital performance world. Combined they have seen too many applications not scaling and performing up to expectations. With more rapid deployment models made possible through continuous delivery and a mentality shift sparked by DevOps they feel it’s time to share their stories. In each episode, they and their guests discuss different topics concerning performance, ranging from common performance problems for specific technology platforms to best practices in development, testing, deploying and monitoring software performance and user experience. Be prepared to learn a lot about metrics.Andi & Brian both work at Dynatrace, where they get to witness more real world customer performance issues than they can TPS report at.