Statements (64)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Performance_Monitoring
|
| gptkbp:allows |
custom metrics
|
| gptkbp:analyzes |
performance metrics
memory usage CPU usage |
| gptkbp:can_be_configured_for |
specific services
|
| gptkbp:can_be_used_alongside |
gptkb:Google_Cloud_Platform
gptkb:Google_Cloud_Trace |
| gptkbp:can_be_used_for |
production environments
|
| gptkbp:can_detect |
performance regressions
|
| gptkbp:can_provide |
capacity planning
|
| gptkbp:developed_by |
gptkb:Google
|
| gptkbp:enhances |
application reliability
scalability user experience |
| gptkbp:facilitates |
Dev Ops teams
|
| gptkbp:helps |
identify performance bottlenecks
|
| https://www.w3.org/2000/01/rdf-schema#label |
Google Cloud Profiler
|
| gptkbp:integrates_with |
gptkb:Google_Cloud_Platform
|
| gptkbp:is_accessible_by |
gptkb:Google_Cloud_Console
command line interface |
| gptkbp:is_analyzed_in |
application performance
system performance service performance thread contention |
| gptkbp:is_available_for |
free trial
|
| gptkbp:is_available_in |
multiple regions
|
| gptkbp:is_beneficial_for |
data-driven decisions
performance optimization |
| gptkbp:is_compatible_with |
gptkb:Kubernetes
serverless architectures |
| gptkbp:is_designed_for |
cloud-native applications
microservices architecture |
| gptkbp:is_integrated_with |
CI/ CD pipelines
|
| gptkbp:is_optimized_for |
resource allocation
|
| gptkbp:is_part_of |
gptkb:Google_Cloud_suite
observability tools Google's cloud services Google Cloud's observability suite |
| gptkbp:is_recognized_by |
memory leaks
|
| gptkbp:is_used_by |
gptkb:developers
|
| gptkbp:is_used_to |
improve application performance
|
| gptkbp:monitors |
gptkb:resource_utilization
|
| gptkbp:offers |
API access
visualization tools |
| gptkbp:provides |
user-friendly interface
detailed reports performance insights real-time profiling |
| gptkbp:provides_information_on |
function execution time
|
| gptkbp:reduces |
costs
|
| gptkbp:requires |
Google Cloud account
|
| gptkbp:suitable_for |
real-time applications
large-scale applications |
| gptkbp:supports |
Java applications
containerized applications Go applications Python applications |
| gptkbp:track |
application dependencies
application health request latency |
| gptkbp:uses |
sampling techniques
|
| gptkbp:bfsParent |
gptkb:Google
|
| gptkbp:bfsLayer |
4
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