![]() ![]() Other dimensions, group them by specific fields, and visualize log data in dashboards. Source, as a single and consistent flow of events ordered by time, and you can query them and sort them based on CloudWatch Logs enables you to see all of your logs, regardless of their Or archive them securely for future analysis. You can then easily view them, search them for specific error codes or patterns, filter them based on specific fields, Logs from all of your systems, applications, and AWS services that you use, in a single, highly scalable service. CloudWatch Logs enables you to centralize the (Amazon EC2) instances, AWS CloudTrail, Route 53, and other sources. You can use Amazon CloudWatch Logs to monitor, store, and access your log files from Amazon Elastic Compute Cloud Using Pulumi Crosswalk for AWS CloudWatch, you can more easily gain system-wide visibility into resource utilization,Īpplication performance, and operational health. You can also use this same approach to stop under-used instances to save money. You can create dashboards that report on health and set up alerts to notify you when you need to launch additional Define custom dashboards to display these metrics or custom collections ofįor example, by setting up metrics to track the CPU usage and disk reads and writes of your Amazon EC2 instances,.Create alarms to watch metrics and send notifications or automatically make changes.Collect and track metrics, which are variables you can measure, for health or.Configure logging, for debugging and diagnosing problems after they have happened.Pulumi Crosswalk for AWS CloudWatch will help you operationally understand and manage your AWS resources and applications, ![]() This functionality is currently only available in TypeScript and as part of the AWSx Classic namespace. ![]()
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