Statements (67)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Amazon_Web_Services
|
| gptkbp:analyzes |
resource consumption
thread contention application runtime behavior |
| gptkbp:can |
serverless applications
|
| gptkbp:can_be_configured_for |
custom metrics
|
| gptkbp:can_be_used_for |
performance testing
|
| gptkbp:can_be_used_to |
reduce latency
|
| gptkbp:can_detect |
memory leaks
|
| gptkbp:can_help_streamline |
development processes
|
| gptkbp:can_provide |
capacity planning
usage statistics performance benchmarks actionable insights debugging performance issues insights into application behavior detailed analysis of performance metrics |
| gptkbp:enhances |
user experience
|
| gptkbp:helps |
identify performance bottlenecks
|
| https://www.w3.org/2000/01/rdf-schema#label |
Code Guru Profiler
|
| gptkbp:integrates_with |
gptkb:AWS_SDKs
|
| gptkbp:is_accessible_by |
gptkb:AWS_Management_Console
API calls |
| gptkbp:is_available_for |
free tier usage
|
| gptkbp:is_available_in |
multiple AWS regions
|
| gptkbp:is_beneficial_for |
resource allocation
application developers |
| gptkbp:is_compatible_with |
various IDEs
|
| gptkbp:is_designed_for |
developers and Dev Ops teams
|
| gptkbp:is_designed_to |
scale with applications
support agile development enhance application reliability |
| gptkbp:is_integrated_with |
CI/ CD pipelines
|
| gptkbp:is_often_used_in |
gptkb:Code_Guru_Reviewer
|
| gptkbp:is_part_of |
gptkb:AWS_Code_Guru
AWS ecosystem AWS cloud services AWS developer tools |
| gptkbp:is_recognized_by |
inefficient algorithms
hot spots in code |
| gptkbp:is_used_to |
improve code quality
improve application performance enhance system performance monitor application health track application performance over time enhance application scalability optimize cloud costs monitor resource utilization |
| gptkbp:offers |
detailed reports
visualization of application performance |
| gptkbp:provides |
performance profiling
real-time profiling call tree visualizations |
| gptkbp:provides_information_on |
memory usage
CPU usage |
| gptkbp:provides_support_for |
load testing
|
| gptkbp:recommendation |
code optimization
|
| gptkbp:reduces |
operational costs
|
| gptkbp:requires |
AWS account
|
| gptkbp:suitable_for |
microservices architecture
production environments |
| gptkbp:supports |
gptkb:AWS_Lambda
Java applications |
| gptkbp:track |
application latency
|
| gptkbp:uses |
machine learning algorithms
|
| gptkbp:bfsParent |
gptkb:AWS_Code_Guru
|
| gptkbp:bfsLayer |
6
|