Skip to end of metadata
Go to start of metadata

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

Version 1 Next »

What is AGILITY?

AGILITY uses Artificial Intelligence (AI) and Machine Learning (ML) to accelerate troubleshooting and validation processes by up to 80%.

AGILITY provides call flow visualization and protocol level analysis that optimizes root error and root cause identification using network record PCAPs (Packet Captures).

Using a three-step process, AGILITY isolates network issues by systematically eliminating hypothetical problems:

  1. Gather Data: Upload PCAPs.

  2. Analyze: Isolate the issue(s) in network data and eliminate false probable causes.

  3. Resolve: Propose the remediation that can fix the issue.

The AGILITY UI visualizes and highlights the most significant network errors so that engineers can quickly locate issues and get to work on resolutions.

The AGILITY Prediction Workflow

  1. Input data (PCAPs + xls file) (manual ingestion).

  2. Extract data.

  3. Transform data.

  4. Run prediction(s).

  5. Provide analyses that expose the Root Cause(s) for network failures.

  • No labels

0 Comments

You are not logged in. Any changes you make will be marked as anonymous. You may want to Log In if you already have an account.