Tag: Amazon CodeGuru Profiler
This post shows you how to configure CodeGuru Profiler to collect multiple applications’ profiling data into a central account and review the applications’ performance data on one dashboard.
This guest post was authored by Rana Ahsan and Chris Liu, Software Engineers at Coursera, and edited by Dave Sanderson and Adnan Bilwani, at AWS. Coursera was launched in 2012 by two Stanford Computer Science professors, Daphne Koller and Andrew Ng, with a vision of providing universal access to world-class learning. It’s now one of […]
Amazon CodeGuru Profiler is a developer tool powered by machine learning (ML) that helps identify an application’s most expensive lines of code and provides intelligent recommendations to optimize it. You can identify application performance issues and troubleshoot latency and CPU utilization issues in your application. You can use CodeGuru Profiler to optimize performance for any […]
Debugging performance issues is always a challenge, especially in production. In the normal software development workflow, as we start writing and reviewing our code, we may introduce bugs or inefficiencies that lead to decreased overall performance of our application after deployment. So, we created Amazon CodeGuru, a developer tool powered by machine learning (ML) that […]
Amazon CodeGuru Reviewer is a machine learning (ML)-based AWS service for providing automated code reviews comments on your Java and Python applications. Powered by program analysis and ML, CodeGuru Reviewer detects hard-to-find bugs and inefficiencies in your code and leverages best practices learned from across millions of lines of open-source and Amazon code. You can […]