Properties (60)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
| gptkbp:allows |
real-time performance analysis
|
| gptkbp:collectibility |
memory usage data
CPU_usage_data |
| gptkbp:compatibleWith |
various programming languages
third-party monitoring tools |
| gptkbp:documentedIn |
Google Cloud documentation
|
| gptkbp:engineConfiguration |
specific services
|
| https://www.w3.org/2000/01/rdf-schema#label |
Google Cloud Profiler
|
| gptkbp:integratesWith |
gptkb:Google_Cloud_Console
|
| gptkbp:is_accessible_by |
command line interface
REST_API |
| gptkbp:is_available_in |
multiple languages
multiple regions enterprise users free tier users |
| gptkbp:is_designed_to |
scalable applications
production environments minimize performance overhead support agile development practices support continuous improvement |
| gptkbp:is_integrated_with |
CI/CD pipelines
|
| gptkbp:is_part_of |
gptkb:Google_Cloud_Operations_suite
cloud-native development tools performance management solutions Google's_cloud_ecosystem Google_Cloud's_observability_tools |
| gptkbp:is_used_in |
gptkb:Google_Kubernetes_Engine
developers performance optimization improve user experience reduce costs App Engine Compute Engine optimize resource allocation improve application reliability enhance application performance monitor resource usage debugging performance issues detect memory leaks analyze application performance trends analyze latency issues track performance changes over time validate performance changes |
| gptkbp:maintainedBy |
Google_Cloud_team
|
| gptkbp:offers |
automatic profiling
customizable sampling rates |
| gptkbp:provides |
performance profiling
detailed reports historical performance data insights into application behavior data for capacity planning visualization of performance data |
| gptkbp:requires |
Google_Cloud_project
|
| gptkbp:suitableFor |
microservices architecture
|
| gptkbp:supports |
Go applications
Python applications profiling in production Java_applications |
| gptkbp:works |
identify performance bottlenecks
|