dotnetv3/SES/README.md
Shows how to use the AWS SDK for .NET to work with Amazon Simple Email Service (Amazon SES).
<!--custom.overview.start--> <!--custom.overview.end-->Amazon SES is a reliable, scalable, and cost-effective email service.
For prerequisites, see the README in the dotnetv3 folder.
Code excerpts that show you how to call individual service functions.
Code examples that show you how to accomplish a specific task by calling multiple functions within the same service.
For general instructions to run the examples, see the
README in the dotnetv3 folder.
Some projects might include a settings.json file. Before compiling the project, you can change these values to match your own account and resources. Alternatively, add a settings.local.json file with your local settings, which will be loaded automatically when the application runs.
After the example compiles, you can run it from the command line. To do so, navigate to the folder that contains the .csproj file and run the following command:
dotnet run
Alternatively, you can run the example from within your IDE.
<!--custom.instructions.start--> <!--custom.instructions.end-->This example shows you how to create a web application that tracks work items in an Amazon DynamoDB table and uses Amazon Simple Email Service (Amazon SES) (Amazon SES) to send reports.
<!--custom.scenario_prereqs.cross_DynamoDBDataTracker.start--> <!--custom.scenario_prereqs.cross_DynamoDBDataTracker.end--> <!--custom.scenarios.cross_DynamoDBDataTracker.start--> <!--custom.scenarios.cross_DynamoDBDataTracker.end-->This example shows you how to create a web application that tracks work items in an Amazon Aurora Serverless database and uses Amazon Simple Email Service (Amazon SES) (Amazon SES) to send reports.
<!--custom.scenario_prereqs.cross_RDSDataTracker.start--> <!--custom.scenario_prereqs.cross_RDSDataTracker.end--> <!--custom.scenarios.cross_RDSDataTracker.start--> <!--custom.scenarios.cross_RDSDataTracker.end-->This example shows you how to build an app that uses Amazon Rekognition to detect objects by category in images.
<!--custom.scenario_prereqs.cross_RekognitionPhotoAnalyzer.start--> <!--custom.scenario_prereqs.cross_RekognitionPhotoAnalyzer.end--> <!--custom.scenarios.cross_RekognitionPhotoAnalyzer.start--> <!--custom.scenarios.cross_RekognitionPhotoAnalyzer.end-->⚠ Running tests might result in charges to your AWS account.
To find instructions for running these tests, see the README
in the dotnetv3 folder.
Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
SPDX-License-Identifier: Apache-2.0