Amazon EKS Capability for Argo CD now supports custom configuration

The Amazon Elastic Kubernetes Service (Amazon EKS) Capability for Argo CD now supports custom configuration through a standard argocd-cm ConfigMap in your cluster. This capability gives you a fully managed GitOps continuous delivery experience, and you can now tune it to fit how your teams work. You can define custom health checks for your Custom Resources, customize the Argo CD UI banner content, adjust how the capability watches and compares the resources it manages, and more. You configure these settings the same way you do in upstream Argo CD, and AWS applies them to your managed capability.
With this launch, cluster administrators now have more control over how Argo CD reports application health. By default, Argo CD has no built-in health logic for Custom Resources, so an Application can report as healthy while its resources are still provisioning, and sync waves can advance before those resources are ready. With a custom health check, you define this logic yourself. For example, a health check for a database resource can hold an Application at progressing until the database is ready. The capability also includes built-in health checks for AWS Controllers for Kubernetes (ACK) and kro (Kube Resource Orchestrator) resources, so these report accurate health with no additional configuration.
You can configure the EKS Capability for Argo CD in all AWS Regions where the capability is available. To learn more, see Amazon EKS and Configure Argo CD settings in the Amazon EKS User Guide.
 
Quelle: aws.amazon.com

Amazon Connect Customer now lets managers chat with their data

Amazon Connect Customer now lets managers chat with their data in plain language and get back the answer, the evidence behind it, and the fix, in seconds. Managers have always had the data. What they haven’t had is the time to dig through dashboards, find what’s driving performance, and decide what to do next. Now Amazon Connect Customer does that work for them. It searches across more than 150 metrics spanning self-service, agent performance, and queue performance to find what matters, explain why, and recommend the best next step.    Managers can start broad and go deep in the same conversation. For example, a manager can ask which queues are the best candidates for automation, and Amazon Connect Customer reviews where handle time and after-contact work run highest, then returns a prioritized list with confidence scores and projected impact. What once required analysts, dashboards, and weeks of investigation now becomes a prioritized action plan in seconds.    This feature is available in all AWS Regions where Amazon Connect Customer AI Agents are supported. To learn more, visit our product documentation. 
Quelle: aws.amazon.com