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
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