Best Practices for Deploying & Scaling Embedded Analytics

Embedding analytics in your application doesn’t have to be a one-step undertaking. In fact, rolling out features gradually is beneficial because it allows you to progressively improve your application. You can get new capabilities out the door quickly, test them with customers, and constantly innovate.

Read more about how to simplify the deployment and scalability of your embedded analytics, along with important considerations for your:

  • Environment Architecture: An embedded analytics architecture is very similar to a typical web architecture.
  • Application Design: Depending on your capabilities, you can choose either a VM or a container-based approach.
  • Deployment: Benefits and drawbacks of hosting on premises or in the cloud.
  • Packaging and Deployment Workflow: Embedded analytics solution should work seamlessly with your current application.

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