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Optimizely Knowledge Base

Full Stack projects: Run experiments anywhere in your tech stack

relevant products:
  • Optimizely X Full Stack

THIS ARTICLE WILL HELP YOU:
  • Understand the hierarchy of accounts, projects, and experiments in Optimizely X Full Stack
  • Decide how to subdivide your account by primary language, native app, or for development and production environments

Projects are ways of creating workspaces for your Optimizely experiments, including A/B tests and feature tests. A project is a subsection in your Optimizely account for experiments built with Optimizely X Full Stack. In general, one project will represent a single application or service that you're developing in. For example, if you have two different mobile applications and one server-side application, you'll create three projects.

Full Stack projects allow you to experiment anywhere in your technology stack with Optimizely's SDKs. If your account includes Full Stack: 

  • Optimizely server-side SDKs: you can create projects in Python, Ruby, Java, Node, PHP, and JavaScript

  • Optimizely mobile SDKs: you can create projects for native iOS and Android apps

  • Optimizely OTT SDKs: you can create projects for native tvOS and Android-based TV apps

Each project has its own set of experiments and collaborators. The hierarchy of experiment organization looks like this:

 

See additional resources
Here are all our articles about the Optimizely dashboard, which you'll use to create projects, add collaborators, manage privacy settings, and more: 

Here's our developer documentation, where you'll find code samples, full references for our SDKs, and getting started guides.

 

When to create multiple projects

Sometimes, you'll want to  experiment in multiple languages, on different applications, or on different devices. Optimizely can help you do this. Create separate Full Stack projects to run experiments in different apps, languages, and environments.

For example, you might run experiments on two different Python backend services, a Java backend, and a React Node application. You'd create four separate projects (two in Python, one in Java, and one in Node). By specifying a primary language, you help Optimizely provide language-specific code samples and keep you informed of SDK updates.

If you have separate production and QA environments, you’d likewise create separate projects to run experiments in each.

Learn more about setting up a Full Stack project as a workspace for your experiments.

Full Stack projects versus Optimizely X Web projects

If you're familiar with Optimizely X Web, Full Stack projects share many of the same concepts. Both include similar experiment configuration options, including variations, events, metrics, attributes, and audiences. They also share account management features such as collaborators, permissions, single sign-on, and two-factor authentication.

Here’s how Full Stack projects are different from Optimizely X Web projects:

  • For Full Stack projects, you specify a primary language for developing experiments. This is the language of the application or service you're testing.

    Currently, you can create Full Stack projects in Python, Java, Ruby, Node, PHP, and JavaScript, as well as experiments for native iOS and Android apps and for tvOS and Android-based TV apps.

  • Full Stack projects don’t include the Visual Editor. Full Stack projects are designed to allow you to run experiments in any application or service you're developing. Use them to create experiments as flags in the application code and launch them with the regular code deploy process instead of creating experiments with a Visual Editor.

  • Full Stack projects include some additional features that aren’t currently available for Optimizely X Web projects, including webhooks, whitelisting, mutually exclusive experiments, datafile versioning, and more.