Welcome to the documentation for the datadogobjc framework, which is a powerful library for integrating DataDog functionality into your iOS or macOS applications. This framework provides a convenient way to track and monitor various metrics, errors, and events in your app, helping you gain insights into its performance and user behavior.
Key Features
- Monitoring application metrics
- Capturing and reporting errors
- Logging custom events
- Tracing network requests
- Integrating with DataDog services
Getting Started
To integrate the datadogobjc framework into your project, follow the steps below:
- Open your Xcode project.
- Navigate to the location where you want to add the framework.
- Right-click on your project folder, then select “Add Files to [Your Project]”.
- Browse to the location where you saved the datadogobjc framework.
- Select the framework and click “Add”.
- In the dialog that appears, ensure that “Copy items if needed” is selected, and your target is checked under “Add to targets”.
- Click “Add” to add the framework to your project.
Initialization
Before using any of the features provided by datadogobjc, you need to initialize the framework with your DataDog API key. Follow the steps below to initialize the framework in your AppDelegate:
- Import the framework:
import datadogobjc
- In the
didFinishLaunchingWithOptions
method, add the following code:// Initialize DataDog framework DataDog.initialize(apiKey: "YOUR_API_KEY")
Monitoring Metrics
With datadogobjc, you can easily monitor various metrics in your app to gain insights into its performance. To send a metric to DataDog, use the following code snippet:
DataDog.sendMetric(name: "metric_name", value: 10)
Replace "metric_name"
with the name of the metric you want to track, and 10
with the value of the metric.
Capturing Errors
The datadogobjc framework allows you to capture and report errors that occur in your application. To capture and send an error to DataDog, use the following code:
DataDog.sendError(error: NSError(domain: "YourDomain", code: 0, userInfo: nil))
Replace NSError()
with an instance of NSError
that represents the error you want to capture.
Logging Custom Events
Use the datadogobjc framework to log custom events in your application. This can be useful for tracking specific user interactions or important milestones within your app. To log a custom event, use the following code:
DataDog.sendEvent(title: "Event Title", text: "Event Description")
Replace "Event Title"
with a descriptive title for the event, and "Event Description"
with a detailed description of the event.
Tracing Network Requests
The datadogobjc framework also provides functionality to trace network requests made by your application. This allows you to monitor network performance and diagnose any issues that may arise. To trace a network request, use the following code:
let request = URLRequest(url: URL(string: "https://example.com")!)
DataDog.traceNetworkRequest(request: request, response: URLResponse(), error: nil, startTime: Date(), endTime: Date())
Replace URLRequest()
with the actual URLRequest
object representing your network request. The other parameters should be set according to your specific use case.
Integrating with DataDog Services
The datadogobjc framework seamlessly integrates with various services provided by DataDog, such as dashboards and alerts. For detailed instructions on how to set up integrations and make the most of DataDog’s services, refer to the official DataDog documentation.
Additional Resources
For more information and detailed usage examples, refer to the official DataDog iOS Documentation and the datadogobjc GitHub repository.
Congratulations! You have successfully set up and integrated the datadogobjc framework into your iOS or macOS application. Enjoy monitoring your app’s metrics, capturing errors, logging events, and tracing network requests with the power of DataDog!