Crafting Better Diagrams: Cloudcraft's Live Diagramming and Filtering

Cette page n'est pas encore disponible en français, sa traduction est en cours.
Si vous avez des questions ou des retours sur notre projet de traduction actuel, n'hésitez pas à nous contacter.

Overview

Cloudcraft is a powerful tool for creating diagrams of your cloud infrastructure. With the New Live Experience feature you can create accurate and up-to-date diagrams of your cloud infrastructure.

Filter resources by type and tags to create targeted diagrams that focus on the specific components you care about. This not only improves diagram performance and readability, but also allows you to craft more meaningful visualizations of your infrastructure.

In this guide, learn how to enable the new live experience and use it to create informative diagrams tailored to your needs.

Prerequisites

Before you begin, you must connect your AWS or Azure account to Cloudcraft. For more information, see:

Enable new live experience

To enable, toggle the New Live Experience switch at the top of the Live tab in Cloudcraft.

Screenshot highlighting the switch to enable the new live experience beta feature in the Cloudcraft interface with a red arrow pointing to the switch.

If you’re a new user, you may already have the New Live Experience enabled by default.

Select account and region

Click the dropdown under the Account section and select the account you want to scan. If you only added one AWS or Azure account to Cloudcraft, it’s automatically selected for you.

Under Region, select the regions you want to scan. By default, Global and your default region are selected, but you can click the More button to select or search for additional regions.

After you make your selections, regions are scanned automatically and the number of resources found is displayed next to the region name. You can click the Sync button above the Region section to trigger a manual scan of all selected regions.

Selecting many regions may impact performance of the live scanning process.

Filter resources

You can filter resources by type and tags.

Tags are automatically detected from your AWS account and displayed in the Custom tags, AWS tags, Terraform tags, and Kubernetes tags sections.

  • Custom tags are tags that you added to resources in AWS or Azure.
  • AWS tags are tags that are automatically added to resources by AWS.
  • Terraform tags are tags that are automatically added to resources by Terraform.
  • Kubernetes tags are tags that are automatically added to resources by Kubernetes.

To filter resources by type, click the Resource section and select the resource type you want to filter by. By default, all resource types are selected and displayed in order of the number of resources found.

To filter resources by tags. Click the Custom tags, AWS tags, Terraform tags, or Kubernetes tags section and select the tags you want to filter by. By default, all tags are selected and ordered by the number of resources found, with Untagged always at the bottom.

Focus on the most relevant resource types and tags for your specific use case to ensure optimal performance and readability of your diagram.

Use cases

Create a diagram showing only EC2 instances and RDS databases

  1. Click the Resource section.
  2. Deselect all resource types, and select EC2 and RDS.
  3. Click Apply layout to create a diagram showing only the selected resources.

Create a diagram showing EC2 instances and RDS databases without the Environment tag

  1. Click the Resource section.
  2. Deselect all resource types, and select EC2 and RDS.
  3. Click the Custom tags section.
  4. Click the Environment tag, and leave only the Untagged option selected.
  5. Click Apply layout to create a diagram showing only the selected resources without the Environment tag.

Feedback

Cloudcraft’s New Live Experience is part of an ongoing effort to improve the user experience and make cloud infrastructure diagramming more efficient and effective. Tell us how you use these new features and give feedback in this form.

PREVIEWING: mervebolat/span-id-preprocessing