Explore the potential of Kontent.ai environments to transform your content management. Safely experiment, develop, and deploy changes without affecting live content, ensuring a streamlined process for your team.
Imagine having the power to test and develop your project without jeopardizing its live content – that’s where environments come into play in Kontent.ai. Acting as snapshots of a project’s content, developers can use environments to safely build new features, test modifications, and perform integrations in either production or non-production settings.
You now have a solid idea of Kontent.ai’s versatility in content management and what kind of environment you want to set up. Let’s dive in on how to create an environment. This lesson will walk you through how you can create, clone, and configure your environment.
Working with environments often means more than just creating or cloning them. Whether you’re syncing content, cleaning up after testing, or preparing for production, having the right tools makes all the difference. This lesson introduces two key tools that help you manage environments effectively: Migration toolkit and data-ops.
In Kontent.ai, environments help you isolate changes and test safely. But what happens when you’re ready to move those changes to another environment? This lesson walks you through how to sync environment settings and the content model using Kontent.ai’s data-ops tool.
Once your environments are structurally aligned, the next step is to migrate content and assets. This lesson explains how to use the data-ops tool to export and transfer your content.
Sometimes, you need to start fresh, and other times, you need to protect what you’ve built. This lesson walks you through when and how to back up, restore, and clean your environments so you can stay in control.
In this lesson, you’ll explore real-world use cases of managing environments using the data-ops tool. You’ll learn how to back up and sync models, migrate content, and maintain clean, consistent environments for efficient and reliable deployments.
37 minutes
Developer
