Aviz Network Copilot R1.6.0 – Enhanced UI, Data Connectors, and Analytics
The NCP R1.6.0 improves the NetOps by introducing a more user-friendly UI-based onboarding of agents, enhanced analytics capabilities, Offline Log Analysis, BigQuery integration, and Forward Data Connector.
What's New in Aviz Network Copilot R1.6.0?
Some of the new features that are introduced in this version include the UI-based onboarding of agents, enhanced analytics capabilities of the dashboard, Offline Log Analysis, BigQuery integration, full regression/SIT validation, and Forward Data Connector.
Agent Onboarding
R1.6.0 introduces a fully UI-driven, end-to-end onboarding experience for user-created SDK agents, significantly simplifying how agents are integrated into the NCP server. This new workflow eliminates the dependency on traditional CLI-based uploads, reducing complexity and improving overall efficiency.
Figure 1: Steps explained to upload the agent package in UI
Onboarding has been carefully planned and there are distinct processes for admins and users separately to provide control, role-based access, and user-friendliness to both types of users. The shift from command line interface (CLI) to intuitive user interface (UI) has made the onboarding process easy and faster for agents.
Figure 2: Flow explained for admin and non-admin uploaded agents
The Agent Management page lists all the necessary information about the agents, which include name, description, version, status, date of upload, and the user who uploaded it. All the tasks that can be performed on this page by administrators can also be performed by non-administrators, including viewing agents' information, deleting agents, and providing feedback.
Figure 3: NCP UI page illustrating how added agents are organized
Dashboard Analytics
The Dashboard is essentially a centralized place that brings together all the metrics and operations of the platform, presenting the user with the critical information regarding the utilization of the platform and its functioning. The Dashboard displays critical metrics related to the users, projects, communications, LLMs, SDK agents, devices, and data connectors, offering visibility into the platform's operations. The improved visualizations and analytical capabilities will allow you to monitor platform performance and obtain valuable insights into platform operations.
Figure 4: NCP dashboard visualizing key activities through graphical insights
Offline Log Analysis enhancement
In addition to what was previously available, R1.6.0 offers functionality that allows for configuration download, inventory management, device discovery, interface analysis, protocol analysis, and security and compliance audits. In addition, it also comes with a generic agent that enables file analysis and interaction within NCP, thereby providing more flexibility while dealing with various types of data. This version of the software also supports validation for Offline Logs.
Figure 5: NCP capability to analyze uploaded files and return relevant insights
Figure 6: NCP comparing the two different files uploaded
BigQuery Integration
This allows the NCP to connect to Google BigQuery datasets in order to perform network analytics on large datasets. This is configured via the Data Connector UI and requires a name for the connector along with a JSON key for authentication purposes. It allows you to perform queries and analytics on very large datasets within the NCP environment.
Figure 7: Pop-up on the Data connector page to integrate the BigQuery
Figure 8: NCP UI displaying successful and active Data Connector integration
Figure 9: NCP response showing the operation insight queried from BigQuery
Forward Data Connector
As part of R1.6.0, our focus will be on performing some targeted checks including validation of the Data Connector onboarding via the UI, ensuring that the Forward DC is functioning properly, monitoring life cycle events like activation, deactivation, and removal of data connectors, and monitoring health of the Data Connector Dashboard.
Figure 10: Pop-up on the Data connector page to integrate Forward DC
Figure 11: NCP UI showing the successful integration of Forward DC
NCP Deployment through OVA/OVF
To validate the usage of NCP materials using OVA/OVF packages rather than an ordinary Ubuntu server setup, we have done testing. This approach enables us to speed up, standardize, and simplify the installation process. Having installed the package, we performed post-deploy verification. Namely, we connected the ONES data connector and tested the response prompt for this connection to confirm proper performance, data flow, and expected behavior. It has been found that OVA/OVF deployment is completely compatible with all our existing integrations and works equally to the server deployment.
Conclusion
NCP R1.6.0 has finally made it to the validation scope and passed all acceptance criteria for reliability, functionality, and security. The new version comes with UI-based agent provisioning with role-dependent workflows, improved dashboard with valuable insights, and better compatibility with large-scale data connectors such as ELK, Splunk, and BigQuery, providing sub-2-minute response time for prompts related to flow records. In addition to that, there are improvements in Forward Data Connector, Offline Log Analysis, and generic agents for analysis of uploaded files. No critical vulnerabilities have been found by Snyk checks.
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1. What is Aviz Network Copilot (NCP) R1.6.0?
Aviz Networks Network Copilot (NCP) R1.6.0 is a major NetOps-focused release that enhances agent onboarding, analytics, offline log analysis, and data integration to improve operational efficiency, visibility, and automation.
2. What are the key highlights of NCP R1.6.0?
NCP R1.6.0 introduces UI-based agent onboarding, enhanced dashboard analytics, offline log analysis, BigQuery integration, a new Forward Data Connector, and validated OVA/OVF-based deployment for faster and standardized installs.
3. How does UI-based agent onboarding improve NetOps workflows?
The new UI-driven onboarding eliminates CLI dependency, enabling faster, simpler integration of SDK agents with role-based workflows for admin and non-admin users, improving accessibility, control, and operational efficiency.
4. What visibility does the enhanced NCP dashboard provide?
The dashboard delivers centralized analytics across users, projects, chats, LLMs, SDK agents, devices, and data connectors, allowing NetOps teams to monitor system usage, track trends, and gain actionable operational insights.
5. What capabilities are included in Offline Log Analysis?
R1.6.0 expands offline analysis to support configuration retrieval, inventory management, device discovery, interface and protocol analysis, and security and compliance checks, including file-based analysis using generic agents.
6. How does BigQuery integration benefit network analytics?
NCP can now connect to Google BigQuery through the Data Connector UI, enabling large-scale querying and analysis of network datasets directly within the NCP platform for faster insights at scale.
7. What is the Forward Data Connector and its purpose?
The Forward Data Connector enables streamlined data flow by validating connector onboarding, lifecycle events, health monitoring, and activation or removal, ensuring reliable and controlled data integration within NCP.
8. How is NCP R1.6.0 deployed and validated?
NCP R1.6.0 supports deployment via OVA/OVF packages for faster, standardized installation and has passed comprehensive validation for functionality, performance, security, and reliability, including compliance and vulnerability checks.