Scout is a robust logging framework designed to provide comprehensive logging capabilities for your applications. It supports various logging levels, output formats, and destinations, making it easy to integrate and customize according to your needs. Whether you are developing a small project or a large-scale system, Scout ensures that you have detailed and organized logs to help you monitor and debug your applications effectively.
Scout offers seamless integration with CloudKit, allowing you to store and manage your logs in the cloud effortlessly. By leveraging CloudKit, you can:
- 📊 Centralize Logs: Store logs from multiple devices and applications in a single, centralized location.
- ⏱️ Real-time Access: Access your logs in real-time from anywhere, ensuring you can monitor your applications' performance and issues promptly.
- 📈 Scalability: Benefit from CloudKit's scalability to handle large volumes of log data without compromising performance.
- 🔒 Security: Ensure your logs are securely stored and transmitted, adhering to industry-standard security practices.
Scout leverages the power of swift-log, Apple's official logging API, to provide a flexible and efficient logging solution. By using swift-log, Scout ensures compatibility with other libraries and tools, making it easier to integrate into your existing projects.
- 📏 Standardization: Utilize a standardized logging API that is widely adopted in the Swift community.
- 🔧 Flexibility: Customize log handlers and formats to suit your specific needs.
By integrating swift-log with Scout, you can take advantage of a robust and standardized logging framework that enhances your application's logging capabilities.
To integrate CloudKit with Scout, follow the steps below:
-
Enable CloudKit: Ensure CloudKit is enabled in your Apple Developer account and configured for your project Enabling CloudKit in Your App
It may take some time for the database to become fully operational.
-
Upload you database scheme: To upload your database schema to CloudKit, follow these steps:
-
Navigate to the CloudKit Dashboard and sign in with your Apple Developer account.
-
Choose the CloudKit container associated with your project.
-
In the CloudKit Dashboard, navigate to the "Schema" section and use the "Import Schema" option to upload your exported schema file.
-
Once your schema is defined, deploy it to the production environment by clicking the "Deploy to Production" button. This ensures that your schema changes are applied and available for use in your application.
- Configure Scout: Update Scout's configuration to include your CloudKit container identifier and any necessary authentication details.
import Scout
import Logging
let container = CKContainer(identifier: "YOUR_CONTAINER_ID")
LoggingSystem.bootstrap { label in
CKLogHandler(label: label, container: container)
}
- Usage:
import Logging
let logger = Logger(label: "SOME_LOGGER_LABEL")
logger.warning(
"event_need_to_know_about",
metadata: [
"description": .string(error.localizedDescription),
"ip": .string(ip),
]
)
By integrating AnalyticsView
into your SwiftUI application, you can gain insights into your application's performance and issues through an intuitive and interactive interface.
AnalyticsView(container: container)
This should be done only in debug mode to avoid exposing sensitive log data in production environments.
TBD
Scout is released under the MIT License. See LICENSE for details.