CloudWatchEvidently#
Client#
- class CloudWatchEvidently.Client#
A low-level client representing Amazon CloudWatch Evidently
You can use Amazon CloudWatch Evidently to safely validate new features by serving them to a specified percentage of your users while you roll out the feature. You can monitor the performance of the new feature to help you decide when to ramp up traffic to your users. This helps you reduce risk and identify unintended consequences before you fully launch the feature.
You can also conduct A/B experiments to make feature design decisions based on evidence and data. An experiment can test as many as five variations at once. Evidently collects experiment data and analyzes it using statistical methods. It also provides clear recommendations about which variations perform better. You can test both user-facing features and backend features.
import boto3 client = boto3.client('evidently')
These are the available methods:
- batch_evaluate_feature
- can_paginate
- close
- create_experiment
- create_feature
- create_launch
- create_project
- create_segment
- delete_experiment
- delete_feature
- delete_launch
- delete_project
- delete_segment
- evaluate_feature
- get_experiment
- get_experiment_results
- get_feature
- get_launch
- get_paginator
- get_project
- get_segment
- get_waiter
- list_experiments
- list_features
- list_launches
- list_projects
- list_segment_references
- list_segments
- list_tags_for_resource
- put_project_events
- start_experiment
- start_launch
- stop_experiment
- stop_launch
- tag_resource
- test_segment_pattern
- untag_resource
- update_experiment
- update_feature
- update_launch
- update_project
- update_project_data_delivery
Paginators#
Paginators are available on a client instance via the get_paginator method. For more detailed instructions and examples on the usage of paginators, see the paginators user guide.
The available paginators are: