Best practices for deploying & scaling embedded analytics

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 for your environment architecture and application design. You’ll learn:
- 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