Monitoring and Notifications
The AWS Server Migration Service provides built-in monitoring and notification capabilities that ensure users remain informed about the progress, status, and any issues encountered during the migration process. SMS automatically integrates with Amazon CloudWatch, enabling users to monitor metrics and create custom dashboards, alarms, and notifications. This helps users identify and troubleshoot issues quickly, ensuring a smooth and efficient migration process. Furthermore, the AWS Management Console provides a detailed view of all migration activities, enabling users to track the migration process in real time.
Guide: Monitoring and Notifications for AWS Server Migration Service
Monitoring and Notifications within the AWS Server Migration Service are vital components that help in the mitigation of potential system failures, and in the smooth execution of operations.
Why It's Important:
It aids in the collection and tracking of real-time statistics, helps to provide proactive alarming and delivers notifications concerning application health, and performance. The efficiency of your cloud workflow is ensured by these features.
What It Is:
Essentially, monitoring gives you a snapshot of performance metrics and operational health of your AWS resources. Notifications provide a reliable, scalable way to send alarm messages in response to events in your environment.
How It Works:
You can work with the AWS Management Console, AWS CLI, or SDKs to set alarms and handle alarm-actions on Amazon CloudWatch, which tracks metrics for your AWS resources and applications.
With regard to notifications, the Amazon Simple Notification Service (SNS) can publish messages to various subscribed endpoints such as emails, SMS, etc., when an alarm status changes.
Exam Tips - Answering Questions on Monitoring and Notifications:
- Understand the role of AWS CloudWatch and how it enables monitoring.
- Be familiar with how SNS works alongside CloudWatch to provide notification services in response to alarms.
- Know the difference between real-time and near real-time monitoring and situations to use each one appropriately.
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