Based on real network traffic, SPV Discovery visualizes service path, provides IT departments with accurate and reliable information for access dependency between application components and delivery devices. The results can be used for establishing or migrating application projects, and monitoring and troubleshooting these applications on an ongoing basis.

With functionalities like merging, splitting, sorting and filtering, SPVD gives users an efficient way to discover application components. Therefore, it dramatically reduces time and labor costs, and greatly increases the value of IT organization.

Core Strengths

Based on production network traffic, it enables visualization of service path, reflecting the access relationship between application components and delivery devices.

Through establishing the Service Path View archive with accurate environment information, the access dependencies among application components can be managed sustainably with SPVD. This helps mitigate the risk for changes.

Reduces the time and manpower on the discovery of application component dependencies, increases the speed to implement the performance monitoring system, such as BPC and NPM.

It is widely applied to SOA, multi-layer architectures, and different virtualization scenarios.

Business Challenges

The topology and relationship of different components for an application in large enterprises are quite complicated. In the process of development, deployment and maintenance, IT organizations not only need to develop the network delivery strategies for complex application topologies, but also need to achieve the business objectives through application discovery to help identify and resolve the application failures.

Over recent years, the IT operation and management mode has been gradually transformed from “device-centric” to “service-oriented” mode. Application and component discovery is not only needed for application delivery and troubleshooting, but also necessary for establishing the management views for “service-oriented” operation and maintenance.

Auto-Discovery Network Service Path

IP Discovery: Automatically displays IP connection relationships between application components and delivery devices based on the network data from the application components.

Port Discovery: TCP conversations are presented in both summary and details, so that the service ports can be identified instantaneously, and the service access relations can be established quickly.

Automatic Sorting

With the IP address table, sort out and render the connectivity relationship between application components and delivery devices.

Automatically compares the differences between IP address table and network traffic to discover dependency, missing information and errors.

Searching and Identification

Rapidly identifies service components and clients, and establishes the traffic flow relationship among them all.

Service Path View Snapshot

Archives Service Path Views (SPVs) as snapshots to capture the dependency among application components and delivery devices.

SPVs from the different times, such as before and after an upgrade, can be compared to show differences and changes.

Inspection on Data Source Availability

Automatically checks the completeness of the network traffic, and pinpoints problems, such as incomplete TCP conversations and duplicated packets.

Automatically discovers TCP connection modes to identify synchronous or asynchronous flow; assists in differentiating between short term TCP connections and persistent TCP connections.

Application Layer Protocol Identification

Automatically identifies application layer protocols associated to various components
(protocols supported by CrossFlow BPC).

Communication Information Export

Export between components: exports communication information between specific application components with automatic filtering.

Global export: exports communication information among all application components and archives them with application relationships and dependencies.

Contact Us









Or you can reach us by email:

info@crossflow.com