Best Practices for Deploying and 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 your environment architecture, the application design, and more.

Most software shops nowadays maintain some form of scripting to simplify the deployment of applications to server environments. Common tools include Jenkins, Chef, Ansible, Puppet, TFS, and Octopus. These tools provide two main benefits:

  • Script or automate compiling and/or packaging of software and prepare for deployment
  • Script or automate setup of environment and deploy software to environment

Complete the form to download the Whitepaper.

Read the e-book





    Do you have data visualization or in-app reporting planned for your application or product in 2021?
    Yes
    No
    If you have data visualization or reporting planned for your application planned in 2021, what quarter is your feature being released or updated?
    First Quarter
    Second Quarter
    Third Quarter
    Fourth Quarter
    If you are planning on having data visualization or reports for your application, what is your planned approach to deliver that feature?
    Building with in-house development team
    Already purchased a third-party tool
    Evaluating a third-party tool

    Leave a comment