Introduction

In this self-paced module, you learn how to create solution-aware cloud flows in Microsoft Power Automate.

Solution-aware flows in Power Automate

In most organizations, the development of applications and automation follows a principle called application lifecycle management (ALM). By following ALM principles, you should only customize applications and automations in a development environment and package them in solutions.

Then, the system deploys the solutions to other environments, such as test or production. The deployment can be manual or automated with Microsoft Power Platform pipelines, for example. Typically, these environments restrict customizations. In Microsoft Dataverse, the use of managed solutions helps enforce these types of restrictions.

The combination of environment variables and connection references that are available with solution-aware flows helps support these ALM principles by allowing you to adjust configuration and connection information without the need to modify the flows in the subsequent environments.

Advantages of solution-aware cloud flows

Using solution-aware cloud flows offers several advantages, such as:

• Enhanced manageability - Group related flows and components in dedicated solutions.
• Seamless deployment - Move automation solutions between development, testing, and production environments.
• Improved collaboration and versioning - Collaborate with other team members and track the version history of the flows.
• Enhanced run history - Keep flow run details in a Dataverse table to improve analysis capabilities.

Next steps

Now that you have an overview of the benefits of solution-aware cloud flows in Power Automate, you can learn about the required steps for creating solution-aware cloud flows.