Automate Code Reviews, Performance Recommendations and Operational Insights (Level 300)

June 9, 2021

A better understanding of your code base helps reduce overall costs, improves non-functional behaviors like application response times and performance, and allows you to tackle issues faster and more accurately. Similarly, from the operational front, it can be difficult to identify operational issues long before they impact your customers. In this session, learn about Amazon CodeGuru, a developer tool for automating code reviews to detects issues such as Deadlocks, Data races on thread unsafe classes, Atomicity violations and Over-synchronization related concurrency bugs and automating performance reviews through application profiling to identify the lines of expensive object recreation, usage of inefficient libraries, too much logging, concurrency issues, etc that improves code performance for applications in production. This session will also cover Amazon DevOps Guru which makes it easier for developers and operators to automatically detect operational issues and recommend options for remediation or mitigation that improves the overall application availability, operational performance, reduce expensive downtime and provides Operational insights.

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Select the Right ML Instance for your Training and Inference Job (Level 300)
Select the Right ML Instance for your Training and Inference Job (Level 300)

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Build Quality ML Models Quickly & Easily with Amazon SageMaker Autopilot (Level 200)
Build Quality ML Models Quickly & Easily with Amazon SageMaker Autopilot (Level 200)