2023/10/31 - 5 updated api methods
Changes Automate attaching managed policies
2023/07/28 - 6 new 17 updated api methods
Changes This release enable customer to add/remove/update more than one workload for a component
2022/06/02 - 3 updated api methods
Changes Provide Account Level onboarding support through CFN/CLI
2021/10/29 - 11 updated api methods
Changes Added Monitoring support for SQL Server Failover Cluster Instance. Additionally, added a new API to allow one-click monitoring of containers resources.
2020/11/23 - 8 updated api methods
Changes Add Detected Workload to ApplicationComponent which shows the workloads that installed in the component
2020/03/25 - 6 updated api methods
Changes Amazon CloudWatch Application Insights for .NET and SQL Server now integrates with Amazon CloudWatch Events (AWS CodeDeploy, AWS Health and Amazon EC2 state changes). This feature enables customers to view events related to problems detected by CloudWatch Application Insights, and reduce mean-time-to-resolution (MTTR).
2020/01/20 - 1 new api methods
Changes This release adds support for a list API to retrieve the configuration events logged during periodic updates to an application by Amazon CloudWatch Application Insights.
2019/11/25 - 9 new 8 updated api methods
Changes CloudWatch Application Insights for .NET and SQL Server includes the follwing features: -Tagging Create and manage tags for your applications.-Custom log pattern matching. Define custom log patterns to be detected and monitored.-Resource-level permissions. Specify applications users can access.
2019/08/07 - 1 new 3 updated api methods
Changes CloudWatch Application Insights for .NET and SQL Server now provides integration with AWS Systems Manager OpsCenter. This integration allows you to view and resolve problems and operational issues detected for selected applications.
2019/06/24 - 16 new api methods
Changes CloudWatch Application Insights detects errors and exceptions from logs, including .NET custom application logs, SQL Server logs, IIS logs, and more, and uses a combination of built-in rules and machine learning, such as dynamic baselining, to identify common problems. You can then easily drill into specific issues with CloudWatch Automatic Dashboards that are dynamically generated. These dashboards contain the most recent alarms, a summary of relevant metrics, and log snippets to help you identify root cause.