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The System Admin Service Monitor page currently does not provide a way to export its displayed data, whether as a general overview or filtered to specific servers, for offline reporting or review. This enhancement would add an export option to the Service Monitor page that allows administrators to export both overview and server-specific data, with the ability to select a time scope consistent with the ranges available in the chart view. Providing this capability would help customers streamline server health reporting and reduce the manual effort required to compile this information for review or documentation purposes.
The Change Analysis Report currently exports as a global HTML page with separate child pages that must be reviewed individually, making it time-consuming to review results for multiple devices. This enhancement would add a CSV export option for the Change Analysis Report summary view, capturing each device, its number of changes, and the associated time frame in a single flat file. Customers would benefit from faster review and easier downstream processing of change summary data without navigating through multiple paginated HTML pages.
NetBrain's IP Conflict Detection feature currently determines duplicate IP conflicts using only the IP address combined with the interface GDR attribute. This approach cannot accurately identify a true duplicate IP conflict occurring between unrelated devices, and simply removing the GDR condition would cause legitimate HA and Anycast peer IP addresses to be incorrectly flagged as conflicts, which would also disrupt topology connection accuracy. This enhancement proposes refining the duplicate IP detection logic to incorporate additional differentiating attributes, such as device role or peer relationship context, so the system can reliably distinguish genuine IP conflicts from valid redundant addressing patterns like HA and Anycast pairs. Customers would benefit from more accurate conflict alerts and reduced false positives, improving confidence in network monitoring and topology accuracy.
NetBrain currently does not support exporting or importing maps in Mermaid Diagram-as-Code format. This enhancement proposes adding the ability to export a map's topology as Mermaid syntax, and to import a Mermaid diagram back into a map. Customers integrating network diagrams with large language models and other text-based tooling would benefit from a machine-readable diagram format that can be shared and version-controlled outside the platform.
NetBrain currently enforces Device Access Policy restrictions when users attempt to view device configurations, execute Intents, or view Intent results on the map, but these restrictions are not applied when a user drills down into Dashboard or Automation Library results. As a result, a user without access to a given device can still see sensitive result data associated with that device, such as compliance or vulnerability findings, through dashboard views. This enhancement would extend Device Access Policy enforcement to Dashboard and Automation Library result displays, so that any device a user is not authorized to view is excluded or masked from dashboard drill-down data, consistent with existing map and Intent execution restrictions. Customers who segment device visibility by policy, such as isolating regulated or sensitive device groups, would benefit from consistent access control across all areas of the platform, reducing the risk of unauthorized users gaining insight into sensitive network or security data.
NetBrain currently allows a Network Intent to be deleted without checking whether it is referenced in an Automated Data Table, runbook, or other automation, which can silently break dependent workflows. This enhancement would introduce a dependency check that runs before deletion, warning the user and identifying where the intent is referenced if it is still in use. Deletion would be blocked until the user removes the intent from all referencing automations, allowing the system to proceed safely once no dependencies remain. This capability would help customers avoid accidental deletion of intents that are actively relied upon, reducing the risk of unplanned automation failures.
NetBrain currently displays Meraki switch stack members as individual, unrelated devices on the map, with no indication that they form a logical switch stack. Because Meraki stack members retain their individual identities (unlike Catalyst-style stacks), users must manually inspect device configuration data to identify stack membership, then manually draw a box and add a label to denote the combined unit on the map. This enhancement would have NetBrain automatically detect Meraki switch stack membership from device configuration data and render a visual indicator, such as a labeled boundary, that groups the stack members while preserving their individual device representations. Customers would benefit from clearer, automatically maintained map visualizations that reduce confusion and eliminate the manual effort of identifying and marking Meraki switch stacks.
Inventory report sorting currently applies only to the rows that have already been loaded into the UI, rather than the complete underlying dataset. As a result, sorting a column on a large report can produce an order that does not reflect the true ranking across all records. This enhancement would extend the sort operation to run across the entire report dataset rather than the currently rendered subset, ensuring the displayed order is accurate regardless of how much data has loaded. Customers working with large inventories would gain reliable, complete sorting results, improving confidence in report accuracy and reducing the need for manual workarounds to verify data ordering.
NetBrain currently does not allow users to configure the number of rows displayed when an Inventory Report is opened, and this setting cannot be adjusted per report. This enhancement would add a configurable row count option for Inventory Reports, ideally settable on a per-report basis, so that the displayed data volume matches each user's workflow needs. Customers working with large device inventories would benefit from faster report loading and a more efficient review experience when viewing report data.
Service Monitor currently displays only the current disk space utilization percentage for monitored servers, without a historical trend view. Unlike CPU, Memory, and Network metrics, which show utilization history over time, disk usage lacks a comparable trend graph, making it difficult to detect gradual capacity creep on individual mount points or drives. This enhancement would add historical trend graphing for disk space utilization, consistent with existing CPU/Memory/Network history views, and would include a snapshot of that trend graph within disk space email alerts. Customers would gain the ability to distinguish between stable high-utilization conditions and steadily increasing utilization, allowing proactive capacity planning and reducing the risk of unplanned outages caused by disk exhaustion.
NetBrain currently does not provide a Python API method to programmatically retrieve the config change and rollback command list defined within a Change Management change definition. This limits the ability of external systems to consume or act on this data without manual export or UI-based review. This enhancement would introduce a Python API function that returns the config change and rollback command list for a given change definition, allowing external platforms to retrieve this data directly. Customers integrating NetBrain with ticketing or IT service management platforms would gain the ability to automate the transfer of change and rollback commands into their existing workflows, reducing manual effort and improving change tracking.
NetBrain currently does not provide a way to define a Change Management runbook directly from an external YAML file. Users must manually build pre-check, configuration, and post-validation steps within the runbook interface, even when device-specific command logic already exists in a structured external format. This enhancement would introduce a script or API-based mechanism to translate a YAML file into a NetBrain runbook, automatically generating pre-check, configuration, and post-validation steps based on the YAML definition. Customers managing change processes across diverse device types would benefit from faster runbook creation, reduced manual configuration effort, and closer alignment with existing configuration-as-code practices.
NetBrain currently expects devices to be reachable via SNMP or CLI to be fully onboarded and maintained in Live Access status, with ICMP-only reachability generally resulting in incomplete or excluded device records. This enhancement proposes a supported discovery and Live Access mode that allows devices to be discovered and tracked using ICMP (ping) only, without requiring SNMP or CLI credentials to establish a valid device record. Customers operating in environments where SNMP and CLI access are restricted or unavailable for certain devices would benefit from broader and more accurate network visibility, rather than having those devices excluded or misrepresented in the domain inventory.
The Network Intent 'Operate on Table' action currently does not provide a condition to detect whether a specific column or row value (cell) is empty, limiting the ability to trigger conditional row actions based on missing data. This enhancement would add an 'is empty' condition option within the Operate on Table logic, allowing users to trigger an add or update row action when a specified cell has no value. Supporting this condition would give customers more flexible automation for maintaining and updating table data without requiring manual checks for missing values.
NetBrain currently requires all approvals for scheduled remediation changes to be performed directly within the platform, offering no option to approve or reject a change request via email. This enhancement would allow approvers to review and approve pending changes directly from an email notification, with the message including the relevant configuration details for the change being requested. Customers whose approvers do not have regular access to the NetBrain interface would benefit from a faster, more flexible approval process that reduces delays in change execution.
NetBrain does not currently support discovery of the CIENA 6500 Packet-Optical Platform, since existing Ciena drivers are limited to Ciena Switch and Ciena L3 Switch device types, which do not correspond to this Layer 1 optical device. Access to these devices requires TL1-based commands over SSH or Telnet, which the current driver set does not support. This enhancement would introduce a new discovery and benchmark driver for the CIENA 6500 Packet-Optical Platform, supporting TL1-based command retrieval to collect device configuration and topology data. Customers operating optical transport infrastructure between Layer 2 and Layer 3 devices would benefit from complete end-to-end topology visualization that includes Layer 1 optical links, rather than requiring manual mapping of these connections.
NetBrain currently does not present the underlay path for Arista devices in a clear, user-friendly manner within path calculation results, making it difficult for users to interpret the underlying network structure. This enhancement would improve the map and path trace rendering to clearly display the underlay path segments associated with Arista devices, with a presentation consistent with other supported path elements. Customers troubleshooting Arista environments with overlay and underlay layers would gain clearer visibility into the underlying path, reducing the manual effort needed to interpret network topology during troubleshooting.
The Change Analysis QApp currently displays only the most recent detected change, rather than presenting all changes that occurred within a selected time period. This enhancement would allow the QApp to list all changes identified across a specified date range, similar to how the Change Analysis Report can surface multiple change events. Customers auditing device configuration changes over multiple days would benefit from a complete view of change history without needing to run repeated checks or rely on a separate report.
NetBrain does not currently track or display which user created or modified a Network Intent or Golden Config template, limiting visibility into changes made by other users with access. This enhancement would add an audit trail capturing the identity of the user and the timestamp for each creation or modification event on Network Intents and Golden Config templates. Customers requiring accountability and security oversight would gain the ability to verify who made changes without relying solely on lock mechanisms, supporting stronger governance and compliance practices.
NetBrain currently does not provide an API for retrieving license usage information broken down by individual user, limiting the ability of teams to build external tools that track license consumption across engineers and projects. This enhancement would add a REST API endpoint that exposes per-user license usage data, allowing external systems to query consumption details programmatically. Partners and customers managing license allocation across multiple engineers and projects would benefit from improved visibility and the ability to build custom reporting and tracking tools without manual review.
NetBrain currently does not restrict the file types that can be uploaded to the Files section, allowing any file type to be stored and later displayed within the application. This enhancement would add a configurable whitelist based on MIME type, so administrators can limit uploads to approved file formats. This capability would reduce the risk of uploading files containing embedded malicious content, such as scripts, that could execute when the file is displayed, improving overall platform security.
NetBrain currently does not provide a way to apply a confidentiality marking or watermark image to documents that users download or export from the platform. This enhancement would allow administrators to configure a custom confidentiality label or image that is automatically applied to exported documents, such as maps and reports, to indicate that the content is internal or restricted. Customers with internal data handling and information security policies would benefit from having exported materials clearly marked, reducing the risk of unintentional sharing of sensitive network information.
The Site Manager page currently does not allow the unassigned devices group to be sorted by fields such as location. This makes it difficult to identify and organize devices located at the same site when their naming schemas differ. This enhancement would add field-based sorting, including sorting by location, to the unassigned devices group within Site Manager. Customers would benefit from an improved workflow when reviewing and assigning devices that share a physical location but lack consistent naming conventions.
NetBrain currently does not provide a way for a Network Intent to directly email its exported results as a CSV file or as an ADT table exported to CSV. Customers who want this capability must rely on QApp or Runbook-based workflows, which require additional setup such as a map, even when the underlying data need is straightforward tabular export. This enhancement proposes adding a native email export option within Network Intent configuration, allowing users to send the intent's CSV or ADT-derived CSV output on a scheduled or triggered basis without requiring QApp or Runbook dependencies. This would benefit customers running Network Intents against large device inventories on a recurring schedule, simplifying automated reporting and reducing reliance on more complex workflow tools.
NetBrain currently requires users to manually initiate the 'Migrate All' and 'Clear All Succeeded' actions within the data migration task interface, with no option to trigger these actions programmatically. This enhancement would introduce a plugin or API capability that allows these bulk actions to be executed as part of scheduled or scripted data migration workflows. Customers managing large-scale or recurring data migration efforts would benefit from reduced manual effort and more consistent, repeatable execution of migration cleanup steps.
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