
Being a Cloud Engineer who has to deal with a complex hybrid architecture, which includes AWS, Azure, plus the old, on-premise data centers, end-to-end visibility is the most significant problem I must tackle on a daily basis. This is masterfully handled by Forward Enterprise who constructs a mathematically precise digital twin of our complete network footprint.
The Network Query Engine (NQE) is the most useful one to my workflow. It basically considers our whole infrastructure; cloud routing tables, VPC security groups, loads balancers and physical firewalls as one unified relational database, which I can query. The hop-by-hop path analysis is superior. When an application team says that there is a connectivity time out between a cloud microservice and an on-premise database, I can immediately visualize the traffic flow across our cloud transit gateways to physical switches. It actually indicates which particular rule in the Access Control List (ACL) or security group is discarding the packets, so that it no longer requires hours to logically sort through the logs before it finds the correct rule. Review collected by and hosted on G2.com.
The first onboarding and exploration stage may be very vigorous. Since the platform will be configured with read-only access, to work efficiently, the coordination of collecting all the relevant API credentials, IAM roles, and SNMP strings across multiple cloud accounts and computed devices will need extensive interdepartmental collaboration with the Security and Netops teams.
Moreover, although the Network Query Engine (NQE) is so robust, it has a steep learning curve. Custom validation checks are very specific in syntax and need a good knowledge of their proprietary form. Last, the user interface is rich, but sometimes can be overwhelming and a bit slow to display huge, multi-cloud topology maps. Review collected by and hosted on G2.com.
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This reviewer was offered a nominal incentive as thanks for completing this review.
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