FAQ

• Why did we build Copilot and how does it benefit customers?

• We built Copilot to help our users with prompt information and guidance related to product features. It leverages AI to provide instant responses to product-related questions, saving time and effort. Below is what Copilot can help our customers with:

  • Understanding the process of provisioning EKS, AKS, GKE, upstream MKS clusters, or vSphere clusters
  • Explaining the steps involved in creating and updating blueprints
  • Providing guidance on creating addons
  • Explaining fleet operations configuration
  • Guiding through the steps of creating templates
  • Assisting with user, project, and overall user management
  • Offering guidance with Kubernetes recipes
  • Assisting with release tracking
  • Guiding through the process of creating environments
  • Providing guidance on different application deployment methods, such as Helm, workload, and GitOps-based deployments.

• What kind of use cases should customers use Copilot for?

• Customers can utilize Copilot to ask questions related to features and instructions on their usage, along with links to relevant documentation.

• Privacy considerations: What filtering mechanisms are in place to mitigate risk?

• Currently, when a user submits a query or question within the organization, it is forwarded to the Large Language Model (LLM) along with accompanying documentation. The LLM processes the query and returns the most suitable response to the user. Therefore, it's important to ensure that no sensitive information is included in the query before submission to the assistant.

• How accurate are Copilot's responses?

• As it's still in beta, the accuracy of Copilot's responses can vary. However, it is continually being refined and improved to provide more accurate and relevant information over time.

• How frequently is Copilot updated with new information?

• Copilot undergoes regular updates to incorporate new information, ensuring that it remains up to date and relevant.