**_**Junos Network Monitoring & Automation Package**_**
This Python package is designed exclusively for Junos environments, providing advanced capabilities for monitoring, automation, and predictive analytics in network operations.
**_Key Features:_**
1. Internet Prefix Count Prediction – Predict prefix count variations in the DFZ (Default-Free Zone).
2. Bogon Filtering Automation – Automate bogon filtering for ISP gateways to enhance security.
3. State Monitoring – Continuously monitor Juniper hardware device status.
4. BGP Peer State Monitoring – Track and analyze BGP peer state changes in real-time.
5. Seamless Time-Series Integration – Easily store retrieved data in time-series databases like InfluxDB for visualization in Grafana.
6. Comprehensive BGP Metrics Retrieval – Extract BGP metrics using Juniper-specific MIBs, OpenConfig YANG models, IETF YANG models, and Juniper native YANG models.
7. Automated Alerting – Generate alerts for BGP state changes with built-in BetterStack integration.
8. BGP Next-Hop Encoding Support – Enables efficient encoding and analysis of BGP next-hop attributes.
9. IPv4 & IPv6 Compatibility – Fully supports dual-stack environments.
10. MIB-Free Operation – No need for external MIB files; all parsing is handled within the code.
11. DDoS Detection & Anomaly Analysis – Detect anomalies and predict potential DDoS attacks based on actual and predicted prefix counts.
12. AI & ML Integration – Structured row data is readily available for feeding into AI/ML platforms for advanced analytics.
13. Nornir Framework Integration – Easily integrates with the Nornir automation framework for streamlined network operations.
14. Access to Raw Data – Provides direct access to raw data for custom analysis and integrations.
15. This package is a powerful tool for ISPs, data centers, and network engineers seeking automation, monitoring, and predictive capabilities for Junos-based environments.
**Full Changelog**: https://github.com/Menuka-Wijayarathne/junosviz/commits/v1.1.0