Source: aws.amazon.com
Improve the performance of Lambda applications with Amazon CodeGuru ProfileCategory: Data, container, github, automation
As businesses expand applications to reach more users and devices, they risk higher latencies that could degrade the customer experience. CodeGuru Profiler analyzes single and multi-threaded applications and then generates visualizations to help developers understand the latency sources.
This post highlights these new features by explaining how to set up and utilize CodeGuru Profiler on an AWS Lambda function written in Python.
This example assumes you have already created a Lambda function, so we will just walk through the process of turning on CodeGuru Profiler and viewing results.
Scroll down to “Amazon CodeGuru Profiler” and click the button next to “Code profiling” to turn it on.
This post highlights these new features by explaining how to set up and utilize CodeGuru Profiler on an AWS Lambda function written in Python.
This example assumes you have already created a Lambda function, so we will just walk through the process of turning on CodeGuru Profiler and viewing results.
Scroll down to “Amazon CodeGuru Profiler” and click the button next to “Code profiling” to turn it on.
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