Paragon Planner (formerly NorthStar Planner) is a cloud-native modeling tool you can use for offline visualization and detailed architectural planning of your production network. It enables you to forecast the impact of network changes such as latency, additional traffic, shifts in traffic flows, and new capacity or services. Network operators can simulate the effects of these changes and other traffic scenarios in Paragon Planner without affecting the production network.
By collecting data through dynamic-topology or label-switched path (LSP) data acquisition, Paragon Planner generates a graphical view of the network, enabling operators to add, remove, and reconfigure network elements. Simulations can be run on demand or scheduled, to help assess the network for potential failure scenarios. Paragon Planner's built-in reporting capabilities can be used for network planning or running detailed simulation outcomes that are vital for network optimization.
- Design: Construct network topology maps showing simulated or imported data for nodes, links, and LSPs.
- Simulate: Create or schedule simulation events to analyze the network model based on failure scenarios such as link congestion, broken link, unresponsive node, and more.
- Analyze: Produce extensive reports for simulation and planning.
Features + Benefits
Identifies and catalogs network infrastructure devices. Collects and manages LSP data and provides network health audits.
Network Modeling and Simulation
Simulates scenarios through network models and predicts outcomes. Can also run a service-level topology view of SLA fulfillment.
Offers extensive failure simulation capabilities, beyond single-failure and what-if analysis.
Provides deployment flexibility, supporting VMs and containers across private data centers and public or private clouds with a highly available, highly redundant, scale-out architecture.
Training and Community
Demos and Webinars
Network planning and simulation software lets you optimize network usage without impacting network performance.
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Cloud-native, multivendor, multidomain monitoring and analytics software uses machine learning algorithms to provide actionable network and service insights.
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