Uila
Uila is an enterprise IT performance management and Root Cause Analysis (RCA) platform that correlates application behavior with underlying virtualized and hybrid cloud infrastructure.
- Application-aware infrastructure performance monitoring and analysis (observability).
- Visual correlation of application, network, compute, and storage performance across virtualized and hybrid cloud environments (IT operations analytics).
- Automated RCA for application performance issues, including dependency mapping across tiers (incident diagnosis).
- Support for virtualized data centers and private cloud infrastructures, with focus on VMware-centric environments (virtualization management).
- Dashboards and reports for IT operations, capacity planning, and service-level monitoring (IT operations management).
More About Uila
Uila provides an application-aware infrastructure monitoring and analytics platform targeted at enterprises and service providers that operate virtualized data centers and hybrid cloud environments. The platform is designed to give infrastructure, network, and application teams a correlated view of how application services run on top of virtual machines, storage systems, and network resources. This approach places Uila in the general category of observability, IT operations analytics, and performance monitoring for virtualized infrastructure.
The platform typically integrates with hypervisor environments, with strong emphasis on VMware-based data centers, to capture telemetry about virtual machines, hosts, clusters, storage, and east–west traffic. Uila then correlates this infrastructure data with application activity to identify dependencies between application tiers, such as web, application, and database layers. This correlation is used to highlight whether an issue originates in the application stack, the Virtual Machine (VM) configuration, the underlying host, the storage subsystem, or the network path.
Uila’s architecture commonly includes data collection components that interface with the virtualization layer and network traffic, a centralized analytics engine, and a web-based console for visualization and reporting. The platform uses application discovery and dependency mapping techniques to build service maps that show how applications communicate across virtual machines and subnets. These capabilities place the offering in line with application performance monitoring (APM) and Network Performance Monitoring (NPMO) and diagnostics (NPMD), but with explicit alignment to virtual infrastructure operations.
From a protocol and technology perspective, Uila operates within environments that use standard IP networking, virtual switches, and storage protocols exposed through the hypervisor. The platform inspects traffic and metadata to classify applications and services and combines this with performance counters from the virtualization stack. This combination allows operations teams to see metrics such as latency, throughput, Central Processing Unit (CPU) and memory utilization, and storage I/O in the context of specific applications and transactions.
In enterprise use, Uila is positioned for teams responsible for IT operations, application support, and capacity planning. It is used to reduce mean time to resolution for performance incidents by providing automated RCA and visual drill-down from a slow application to the underlying infrastructure component that constrains performance. The platform’s dashboards and reports support ongoing service health monitoring, capacity utilization analysis, and planning for workload placement or migration within virtualized and hybrid cloud environments.
Within a directory or marketplace taxonomy, Uila fits into categories such as observability, IT operations analytics, application-aware infrastructure monitoring, virtualization management, and performance troubleshooting for data center and hybrid cloud workloads. Its focus on correlating application behavior with virtual infrastructure resources differentiates it from tools that monitor only one layer, such as server metrics or network flows in isolation.