Best Practices for Deploying and Scaling Embedded Analytics
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The world of embedded analytics is constantly evolving. As new features emerge and dashboards become increasingly complex, deploying and scaling them also gets more complicated.
What should development, IT, and DevOps teams keep in mind when embedding analytics in their applications? This white paper explains how to simplify the deployment and scaling of embedded analytics—including your environment architecture, the application design, and more.
- How your embedded analytics architecture should differ from a typical web architecture
- Pros and cons of hosting your application on virtual machines (VMs) vs. containers
- A framework for a phased approach to enhancing embedded analytics, including code versioning and deployment workflow