API archive entry · source-reported
Amazon CodeGuru Profiler
This section provides documentation for the Amazon CodeGuru Profiler API operations. Amazon CodeGuru Profiler collects runtime performance data from your live applications, and provides recommendations that can help you fine-tune your application performance. Using machine learning algorithms, CodeGuru Profiler can help you find your most expensive lines of code and suggest ways you can improve efficiency and remove CPU bottlenecks. Amazon CodeGuru Profiler provides different visualizations of profiling data to help you identify what code is running on the CPU, see how much time is consumed, and suggest ways to reduce CPU utilization. Amazon CodeGuru Profiler currently supports applications written in all Java virtual machine (JVM) languages and Python. While CodeGuru Profiler supports both visualizations and recommendations for applications written in Java, it can also generate visualizations and a subset of recommendations for applications written in other JVM languages and Python. For more information, see What is Amazon CodeGuru Profiler in the Amazon CodeGuru Profiler User Guide .
Plan the first integration safely
The access fields below come from the connected directory. Their likely implementation impact is explained without assuming provider-specific behavior.
Authentication
OAuth is reported. Confirm flows, scopes, consent, token lifetime, and refresh rules.
Transport
HTTPS is not confirmed. Do not send credentials or production data until secure transport is verified.
Browser access
CORS is unknown. Treat direct browser access as unconfirmed and test before choosing a client-only architecture.
First-request sequence
- Identify the current base URL, version, and endpoint for the use case.
- Confirm how credentials are issued and where they may be stored.
- Test success, invalid input, throttling, unavailable data, and timeouts.
- Record response fields, pagination, caching, and error shapes.
- Add monitoring, retries with backoff, and an appropriate fallback.
Questions to resolve before production
Pricing and quotas
Confirm current plans, free-tier limits, overages, and request ceilings.
Endpoint coverage
Check that the operations and response fields match the intended workload.
Reliability
Look for uptime history, a status page, support routes, and service commitments.
Data and privacy
Review retention, licensing, regional processing, and compliance requirements.
Versioning
Confirm the active version, change policy, deprecation window, and migration guidance.
Developer experience
Validate SDKs, examples, error formats, pagination, and test environments.
Source reference
This page separates source-reported facts from questions that need live provider verification.