Visually Investigating Patterns in Logs at Scale
Graphistry unlocks the potential of your data by turning raw records into highly visual and interactive incident maps. Their graph-based analysis reveals hidden connections and context across all your data, and within seconds lets analysts see key relationships, event scope and progression, patterns, anomalies, and more - all without writing a manual query or tabbing between tools. Then easily drill-down and pivot on the fly to follow the investigation.
The unrivaled performance of the Pavilion HyperParallel Data Platform for graph database storage enables Graphistry customers to analyze data sets of unlimited size, with the performance on internal NVMe SSDs in their GPU and CPU based systems.
Discover what Graphistry can do for you with the following tools:
Demo folder: https://github.com/graphistry/pygraphistry/tree/master/demos/demos_databases_apis
Demo folder: https://github.com/graphistry/graph-app-kit/tree/master/src/python/views
Watch the NVIDIA GTC Session (# SS33029) with Graphistry and Pavilion:
Visually investigating patterns in logs at scale with Graphistry, RAPIDS, and Pavilion
Presented by Leo Meyerovich, CEO and Founder, Graphistry, and Costa Hasapopoulos, CFTO, Pavilion
Free file upload or API account, or launch their own server: https://www.graphistry.com/get-started
For GDS-specific collaborations, reach out via email/Slack (https://www.graphistry.com/support)
To learn more about Graphistry, read their blog at: https://graphistry.com/blog