View source: R/codeguruprofiler_service.R
codeguruprofiler | R Documentation |
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.
codeguruprofiler(
config = list(),
credentials = list(),
endpoint = NULL,
region = NULL
)
config |
Optional configuration of credentials, endpoint, and/or region.
|
credentials |
Optional credentials shorthand for the config parameter
|
endpoint |
Optional shorthand for complete URL to use for the constructed client. |
region |
Optional shorthand for AWS Region used in instantiating the client. |
A client for the service. You can call the service's operations using
syntax like svc$operation(...)
, where svc
is the name you've assigned
to the client. The available operations are listed in the
Operations section.
svc <- codeguruprofiler( config = list( credentials = list( creds = list( access_key_id = "string", secret_access_key = "string", session_token = "string" ), profile = "string", anonymous = "logical" ), endpoint = "string", region = "string", close_connection = "logical", timeout = "numeric", s3_force_path_style = "logical", sts_regional_endpoint = "string" ), credentials = list( creds = list( access_key_id = "string", secret_access_key = "string", session_token = "string" ), profile = "string", anonymous = "logical" ), endpoint = "string", region = "string" )
add_notification_channels | Add up to 2 anomaly notifications channels for a profiling group |
batch_get_frame_metric_data | Returns the time series of values for a requested list of frame metrics from a time period |
configure_agent | Used by profiler agents to report their current state and to receive remote configuration updates |
create_profiling_group | Creates a profiling group |
delete_profiling_group | Deletes a profiling group |
describe_profiling_group | Returns a ProfilingGroupDescription object that contains information about the requested profiling group |
get_findings_report_account_summary | Returns a list of FindingsReportSummary objects that contain analysis results for all profiling groups in your AWS account |
get_notification_configuration | Get the current configuration for anomaly notifications for a profiling group |
get_policy | Returns the JSON-formatted resource-based policy on a profiling group |
get_profile | Gets the aggregated profile of a profiling group for a specified time range |
get_recommendations | Returns a list of Recommendation objects that contain recommendations for a profiling group for a given time period |
list_findings_reports | List the available reports for a given profiling group and time range |
list_profile_times | Lists the start times of the available aggregated profiles of a profiling group for an aggregation period within the specified time range |
list_profiling_groups | Returns a list of profiling groups |
list_tags_for_resource | Returns a list of the tags that are assigned to a specified resource |
post_agent_profile | Submits profiling data to an aggregated profile of a profiling group |
put_permission | Adds permissions to a profiling group's resource-based policy that are provided using an action group |
remove_notification_channel | Remove one anomaly notifications channel for a profiling group |
remove_permission | Removes permissions from a profiling group's resource-based policy that are provided using an action group |
submit_feedback | Sends feedback to CodeGuru Profiler about whether the anomaly detected by the analysis is useful or not |
tag_resource | Use to assign one or more tags to a resource |
untag_resource | Use to remove one or more tags from a resource |
update_profiling_group | Updates a profiling group |
## Not run:
svc <- codeguruprofiler()
svc$add_notification_channels(
Foo = 123
)
## End(Not run)
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