Introduction:
Welcome to the official DataDogCore documentation page. Here you will find everything you need to know about the DataDogCore framework, its features, and how to use it in your projects.
Features:
- Powerful data tracking and monitoring capabilities
- Easy integration with DataDog services and tools
- Flexible configuration options
- Efficient data collection and analysis
- Real-time data visualization and reporting
Getting Started:
1. Installation and Setup:
To get started with DataDogCore, follow these steps:
- Open your project in Xcode or your preferred IDE.
- Add the DataDogCore framework to your project’s dependencies.
- Import the DataDogCore module in your code files.
- Initialize DataDogCore with your API keys and configurations.
2. Usage and Examples:
DataDogCore provides a set of powerful APIs and classes to track and monitor your data. Here’s an example of how to use DataDogCore in your code:
import DataDogCore
let datadog = DataDogCore()
datadog.setAPIKey("YOUR_API_KEY")
datadog.configure(options: [.enabled, .logging])
datadog.startMonitoring()
// Track custom events
datadog.trackEvent(withName: "Login", attributes: ["user_id": "12345"])
// Monitor network request
let request = URLRequest(url: URL(string: "https://www.example.com")!)
datadog.monitorRequest(request)
// Collect and analyze metrics
datadog.collectMetrics(["cpu_usage", "memory_usage"])
// Visualize data in real-time
datadog.visualizeData()
3. Advanced Configuration:
DataDogCore offers various configuration options to suit your project’s needs:
- Enabling or disabling specific features
- Setting up logging levels
- Configuring data collection intervals
- Customizing data visualization settings
4. Troubleshooting:
If you encounter any issues while using DataDogCore, please check the following:
- Ensure you have provided valid API keys
- Review your configurations and settings
- Check for any relevant error or warning messages
- Consult the DataDogCore documentation for further assistance
Conclusion:
Congratulations! You’re now equipped with the knowledge to integrate DataDogCore into your projects and effectively track and monitor your data.
For further information, detailed API reference, and additional examples, please check out the official DataDogCore documentation.