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061 Serverless Performance, Monitoring and Best Practices from Fender

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Manage episode 205297300 series 1897294
Content provided by PurePerformance. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by PurePerformance or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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 )
  continue reading

301 episodes

Artwork
iconShare
 
Manage episode 205297300 series 1897294
Content provided by PurePerformance. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by PurePerformance or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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 )
  continue reading

301 episodes

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