Next-Gen AI-enabled Network Observability Component
PrObserv is a programmable open source-based cloud-native network observability component. From a single visibility component, it enables capturing, analyzing, troubleshooting, and reporting across a wide range of protocols. It provides dashboards to visualize, debug and arrive at actionable insights. It uses Elasticsearch or OpenSearch, Logstash, Kibana (ELK) stacks and a programmable API for data normalization and packet parsing.
Detect Revenue Leakages
Safeguarding the Network
Single Visibility Platform
Single visibility platform enables capturing, analyzing, troubleshooting, and reporting across a wide range of protocols. Provides dashboards to visualize, debug and arrive at actionable insights.
AI/ML-based pattern and anomaly detection
AI/ML-based models use the data sourced from different collection points and help detect patterns and anomalies in user and network behavior.
Ready to use Plugins
PrObserv can ingest, collect, and integrate data from different sources like KAFKA, PCAP, Syslog, IoT Telemetry, etc. The information is then processed and stored at the backend for further analysis.
Deep Insights into the network/call flows
Generates deep insights from the hybrid network/call-flows spanning across multi vendors and out of the large volume of structured/unstructured data to analyse issues and understand information flow.
Supports a wide range of protocols such as TCAP (CAMEL, LIDB), DIAMETER, RADIUS, SIP, ENUM, etc. PrObserv is extensible to add new protocols with ease, making it a protocol agnostic solution.
Customised Notifications and Alerts
Enabling users to be notified on preferred channels like email and SMS on event triggers with thresholds or to receive periodic reports. These events and the corresponding actions are configurable, empowering users to customize notifications and alerts.