Amazon CodeGuru Profiler
Amazon CodeGuru Profiler collects runtime performance data from your live applications, providing recommendations to help you reduce CPU utilization, cut costs, and improve application performance. The profiler analyzes your application's CPU and heap usage to identify the most expensive lines of code and offers actionable recommendations.
APIs
Amazon CodeGuru Profiler API
The Amazon CodeGuru Profiler REST API.
Capabilities
Amazon CodeGuru Profiler Application Performance Profiling
Unified workflow for DevOps teams to manage profiling groups, retrieve CPU and heap profile data, and act on performance recommendations for production applications.
Run with NaftikoFeatures
Continuously profile application CPU utilization and heap usage in production without significant overhead.
Receive actionable recommendations from machine learning models identifying expensive code paths and resource inefficiencies.
Visualize CPU usage with flame graphs that highlight the most resource-intensive code paths.
Automatically detect anomalies in application performance and CPU utilization patterns.
Profile JVM-based applications and Python applications using language-specific profiling agents.
Use Cases
Identify and eliminate the most expensive code paths consuming CPU in live production applications.
Reduce compute costs by optimizing code that consumes excessive CPU time and cloud resources.
Investigate application latency issues by profiling which code paths contribute most to request processing time.
Integrations
Profile Lambda function execution to identify performance bottlenecks.
Profile containerized applications running on ECS.
Profile applications running on EC2 instances.
Combine profiling insights with code review recommendations.