Davis CoPilot Chat allows you to chat with Davis CoPilot and ask general help questions to help you with onboarding to Dynatrace and understanding our core concepts.
Permissions
The following table describes the required permissions.
Permission
Description
document:documents:write
store conversations in document store
document:documents:read
read conversations from document store
document:documents:delete
delete conversations from document store
davis-copilot:conversations:execute
use copilot conversation feature
hub:catalog:read
reading the catalog to display which app triggered a conversation
1 of 4Get started quickly and easily by asking Davis CoPilot Chat any question about how to use Dynatrace. Try out one of the examples to see what's possible.
Use Davis CoPilot conversational interface
After enabling Davis CoPilot on your environment and setting the user permissions, you should see a new icon below the Search in the dock.
Select Run and wait for the response to be generated.
You can ask follow-up questions.
Every response contains a list of sources that were retrieved to generate the answer. You can consult these sources for further information.
Conversations are saved automatically. These can be renamed or deleted from the overview list of conversations.
You can cancel the response generation, refine your prompt, and then re-send the question.
You can use the chat interface on top of any application.
Answers are generated based on Dynatrace-related resources. If the model is unable to respond to your question, you'll see an error message:
I'm sorry, but I can't respond to this request. Please try rephrasing it or adding additional context.
Give feedback
You can provide feedback using the built-in feedback mechanism.
Select if Davis CoPilot has generated a response that has met your expectations and interpreted your prompt correctly.
Select if Davis CoPilot has generated a response that has failed to meet your expectations or has incorrectly interpreted your prompt. Please provide additional context for us to understand how we can improve this functionality to meet your needs and expectations.
Learning modules
Go through the following process to learn using Davis CoPilot Chat
Davis CoPilot Chat enriches its answers based on the official Dynatrace sources, such as Dynatrace Documentation and Dynatrace Community. For details, see below.
Davis CoPilot Chat can help answer your questions for a variety of different topics and use cases that relate to Dynatrace specifically, as well as software, observability, and technology in general. See the examples below to understand what kind of questions Davis CoPilot Chat can help you with.
We recommend that you start a new conversation for a new topic to improve Davis CoPilot response accuracy.
Get started with Dynatrace
How do I get started with sending OpenTelemetry to Dynatrace?
What are Dynatrace workflows, how do I get started with them, and how will this improve the way I work with Dynatrace?
Introduce all basic DQL commands and provide examples of each one.
Understand how Dynatrace works
What is the difference between an event and a problem in Dynatrace?
How is the Davis Security Score calculated, and why is this important for my environment?
What are the reasons why I can’t find historical data, and how can I fix this?
How to configure parts of Dynatrace
How can I configure an SLO?
How do I set up an alert?
How do I set a maintenance window via API?
Get help with onboarding to Dynatrace App development
What is the Dynatrace AppEngine and how do I get started with building my own app?
What are the requirements for using the Dynatrace App Toolkit? What are the tutorial steps for getting started?
Does Dynatrace have a design system and how can it help me build an app?
and wait for the response to be generated.
if Davis CoPilot has generated a response that has met your expectations and interpreted your prompt correctly.
if Davis CoPilot has generated a response that has failed to meet your expectations or has incorrectly interpreted your prompt. Please provide additional context for us to understand how we can improve this functionality to meet your needs and expectations.