Managing complex IT infrastructures is challenging, especially with applications, databases, services, and network components spread across on-premise, cloud, and hybrid environments. iFlowHive eliminates the complexity by automatically discovering and mapping dependencies between these components in real-time.
By leveraging a Neo4J-based graph visualization, iFlowHive tracks data flow, identifies service relationships, and provides impact analysis. This ensures IT teams can quickly diagnose issues, troubleshoot dependencies, and optimize application performance. Whether it’s mapping microservices, tracking database interactions, or visualizing application workflows, iFlowHive provides a clear, dynamic topology view that enhances operational visibility and efficiency.
Dynamically identifies interconnections between applications, databases, and network components.
Provides an interactive dependency map for better troubleshooting.
Understand how failures or slowdowns affect interconnected services.
Works seamlessly across AWS, Azure, Kubernetes, and traditional IT environments.
Apply custom labels, filters, and dependency relationships as needed.