Multi-Cloud network infrastructure has high entropy. This dashboard provides continuous real-time observability of this entropy across virtual networks in AWS, Azure and GCP and interconnect data center fabrics. Machine learning is used to dynamically learn the normal patterns of packet loss ratio and round trip delay metrics across a matrix of senders and receivers and find anomalies when a metric is abnormal.
You can use this dashboard to quickly understand if abnormal behavior in specific availability zones or regions in a provider that you rely on is the source of an application issue that you are experiencing. You can also use this dashboard to audit the performance of various providers.
This service will evolve significantly in the coming months.