Working with AWS Services in the AWS Explorer
The AWS Explorer gives you a view of some of the AWS services that you can work with when using the AWS Toolkit for Visual Studio Code. See a high-level view of the AWS Explorer in the navigation topic.
This section provides information about how to access and use the AWS Explorer in VS Code. It assumes that you've already installed and configured the Toolkit for VS Code on your system.
Some important points:
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If the toolkit is installed and configured correctly, you should see items in the AWS Explorer. To see the AWS Explorer, choose the AWS icon in the Activity bar.
For example:
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Certain features require certain AWS permissions. For example, to see the AWS Lambda functions in your AWS account, the credentials you configured in Establishing credentials must include at least read-only Lambda permissions. See the following topics for more information about the permissions that each feature needs.
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If you want to interact with AWS services that aren't immediately visible in the AWS Explorer, you can go to More resources and choose from hundreds of resources that can added to the interface.
For example, you can choose AWS::CodeArtifact::Repository from the selection of available resource types. After this resource type is added to More resources, you can expand the entry to view a list of resources that create different CodeArtifact repositories with their own properties and attributes. Moreover, you can describe the properties and attributes of resources in JSON-formatted templates, which can be saved to create new resources in the AWS Cloud.
Topics
- Working with Amazon API Gateway
- Using AWS App Runner with AWS Toolkit for Visual Studio Code
- Working with AWS CloudFormation stacks
- Working with CloudWatch Logs by using the AWS Toolkit for Visual Studio Code
- Working with Amazon EventBridge
- Working with Amazon Elastic Container Registry
- Working with AWS IoT in AWS Toolkit for Visual Studio Code
- Working with AWS Lambda Functions
- Working with Amazon S3
- Working with Systems Manager Automation documents
- Working with AWS Step Functions
- Working with resources