Posted On: Jun 8, 2020
Amazon CloudWatch Application Insights launched several new features to enhance observability for customers’ applications. Starting today, CloudWatch Application Insights expands monitoring support for two databases, in addition to Microsoft SQL Server - MySQL and Amazon DynamoDB. This enables customers to easily configure monitors for these databases on CloudWatch and detect common errors such as slow queries, transaction conflicts, and replication latency.
In addition to this, customers can now also monitor custom logs and log patterns on CloudWatch Application Insights, along with metrics, logs, traces, and events from across their applications, operating system, and underlying infrastructure and other application resources. CloudWatch Application Insights will look for these custom-defined warning and erroneous patterns in customers’ logs, to detect and notify customers of ongoing problems impacting the health of applications. Lastly, customers can now use CloudWatch Application Insights to additionally monitor Amazon S3 buckets used by their applications, along with other application resources including Amazon EC2, RDS, Lambda, and SQS. All these features collectively offer customers a wider visibility into the health of their applications, and help customers reduce their mean-time-to-resolution (MTTR).
Amazon CloudWatch Application Insights enables observability for your .NET applications and underlying AWS resources. Getting started is easy; you can set up important monitors for your applications using a few clicks in the CloudWatch console. For the detected issues, you can use CloudWatch Automatic Dashboards to visualize problem details, helping application owners troubleshoot faster and reduce their mean time to resolution. CloudWatch Application Insights is available in all AWS public regions at no additional charge, you pay for monitoring data set up on CloudWatch. To learn more, access the CloudWatch Getting Started page and documentation page.