Netomics Platform: Self-Hosted Routing Intelligence
On July 10th, 2026, FastNetMon launched Netomics to eliminate reliance on external routing lookup services. This self-hosted BGP routing intelligence platform consolidates live data, RPKI validation, and historical records into a single on-premises application. The thesis is clear: critical operational infrastructure demands complete ownership of routing data rather than dependence on public tools.
Network operators will learn how the Netomics architecture integrates BMP feeds, IRR information, and WHOIS records without exposing queries to third parties. The article details the mechanics of running this intelligence locally to ensure privacy and constant availability. It also covers deployment strategies for ISPs, cloud providers, and IXPs seeking to automate workflows via REST APIs or Prometheus metrics.
Unlike public services, this solution supports native Model Context Protocol integration for AI assistants like ChatGPT and Claude. Organizations can validate prefix ownership and troubleshoot incidents using data that remains entirely within their control. For entities managing large IP networks, understanding the shift from shared public resources to private intelligence is necessary. Those needing to establish their own autonomous system identity can reference guides on how to establish your own ASN before deploying such advanced visibility tools.
The Role of Self-Hosted Routing Intelligence in Modern ISP Infrastructure
Netomics as a Self-Hosted BGP Routing Intelligence Platform
FastNetMon is introducing Netomics, a self-hosted BGP routing intelligence platform announced July 10th, 2026, in London, United Kingdom. This system aggregates live routing data, registry details, and RPKI validation into a unified application for ISPs. Network engineers often consult multiple public tools to investigate routing incidents or validate prefix ownership. Netomics brings this information together in a single platform that runs entirely within the customer's own infrastructure, creating an internal source of truth. Deploying on-premises architecture ensures that sensitive routing intelligence never leaves the organization's control. Such an approach mitigates risks associated with third-party dependency and external rate limits.
AI-assisted querying allows engineers to interrogate complex routing histories efficiently. Unlike cloud-based alternatives, this model keeps all BGP analysis internal. The shift toward on-premises deployment reflects a strategic priority for data sovereignty among large network owners. Maintaining such infrastructure requires dedicated local resources and ongoing patch management. Organizations must balance the security benefits of isolation against the operational overhead of self-hosting. InterLIR Marketplace supports this evolution by facilitating the IPv4 resource optimization necessary to sustain strong, independent network infrastructures. The platform is designed to give operators complete ownership of their routing intelligence while making it easier to troubleshoot incidents.
Creating an Internal Source of Truth for ISPs and IXPs
Specific types of organizations operating large IP networks benefit most from this tool: Internet service providers (ISPs), Cloud providers, Internet Exchange Points (IXPs) and enterprises. Netomics provides complete visibility into global Internet routing without relying on third-party lookup services. Rather than querying disparate public tools, operators deploy Netomics to consolidate live BMP feeds, RPKI validation, and registry data into a single on-premises application. This architecture creates an internal source of truth that remains accessible even if public lookup services degrade during global routing instability. Strict control over network observability matters deeply to these critical infrastructure entities. Cloud-based alternatives offer convenience yet introduce dependency on third-party uptime and bandwidth quotas. On-premises deployment eliminates external latency and ensures sensitive routing topology never leaves the organization's perimeter.
Local compute resources are required to process full routing tables. This investment secures operational continuity when external dependencies fail. Netomics combines live BGP Monitoring Protocol (BMP) feeds with global routing data to provide a thorough view of Internet routing.
Netomics On-Premises Deployment vs Kentik and ThousandEyes SaaS
An on-premises architecture distinguishes Netomics from the cloud-delivered models of Kentik and ThousandEyes. Substantial competitors operate primarily as SaaS-based platforms while this solution keeps all routing intelligence within the customer's local infrastructure. This deployment choice directly addresses data sovereignty concerns that often prevent ISPs from adopting external analytics tools. Specialized services like BGPmon.net focus narrowly on RPKI and ROA security whereas this platform provides a broader suite that integrates network observability with API-driven automation.
Eliminating external rate limits gives operators a distinct advantage during internet-wide incidents. Security requirements now outweigh the convenience of managed services for many in the industry. Organizations must maintain their own hardware resources and handle local software updates under this model. Unlike public routing lookup services, Netomics is deployed entirely on-premises, ensuring routing intelligence remains private, always available and under the organisation's control. By localizing intelligence, operators avoid the latency and exposure inherent in sending BMP feeds to external vendors. Critical routing data remains a protected internal asset rather than a shared commodity.
Inside Netomics Architecture and Data Flow Mechanics
BMP Feeds and RPKI Validation Mechanics
Routers kickstart the whole process by shooting BGP Monitoring Protocol (BMP) frames straight to the local engine. This direct stream grabs update messages instantly, spotting route shifts without waiting on some distant server. The system tears apart those frames to build a clear picture of path updates as they happen. Validation jumps in next, checking these paths against hard cryptographic records. Combining BMP feeds with RPKI validation data confirms legitimacy right at the source. Invalid origins get flagged immediately, stopping bad routes before they spread.
| Feature | External Lookup | On-Premises Engine |
|---|---|---|
| Data Privacy | Shared with vendor | Fully retained locally |
| Availability | Subject to rate limits | Unlimited local access |
| Integration | Manual API calls | Direct infrastructure sync |
Network teams keep total sovereignty over routing intelligence by skipping third-party dependencies entirely. Public services often throttle queries, choking large-scale automation exactly when incidents demand speed. Keeping data on-site guarantees access even when external networks crumble under congestion. Rate limits vanish completely since the platform plugs directly into existing network infrastructure. Control over the entire visibility stack stays firmly in local hands.
Integrating Netomics via Model Context Protocol and REST APIs
Troubleshooting BGP routing incidents becomes intuitive when operators query live state through native Model Context Protocol (MCP) support. Complex routing tables translate into natural language prompts for AI assistants, removing the need for manual CLI digging. REST APIs push structured metrics straight into Prometheus, creating a constant firehose of observability data.
| Feature | Traditional Lookup | Netomics Integration |
|---|---|---|
| Data Location | Public Cloud | On-Premises |
| Query Method | Web Form | Native MCP / API |
| Automation | Manual Scripts | AI-Assisted Workflows |
Deploying entirely on-premises keeps routing intelligence private and under strict organizational control. Teams build API-driven automation pipelines that react instantly to route events using these interfaces. Sensitive routing data never leaves the organizational perimeter, unlike with public lookup tools. Automation workflows connect easily to AI assistants, moving network teams from reactive fire-fighting to automated response. Routing intelligence stays a private asset rather than leaking to external vendors. Live BGP Monitoring Protocol feeds merge with global routing data to show the full Internet picture inside customer infrastructure.
Deploying Private Routing Intelligence Infrastructure
Installing directly within a private cloud creates a secure environment free from external rate limits. BMP feeds stay internal, letting operators troubleshoot incidents without begging external lookup services for answers. The deployment process slides into existing infrastructure naturally, preserving data sovereignty while revealing every path change.
- Configure routers to export BGP Monitoring Protocol frames to the local Netomics collector.
- Ingest global routing data and RPKI records to validate origin authenticity.
- Query the local database via REST APIs or native MCP support for automated diagnostics.
| Capability | Public Lookup | Private Deployment |
|---|---|---|
| Data Residency | Third-Party Cloud | On-Premises |
| Rate Limits | Enforced | Eliminated |
| Integration | Manual | Native API |
Organizations needing strict data control choose this self-hosted model over SaaS alternatives every time. Deep API-driven automation becomes possible without exposing internal topology to outside vendors. Internet service providers, cloud providers, Internet Exchange Points, and enterprises running large IP networks find this design fits their needs perfectly. Selected features can be explored publicly at www.netomics.com, while the full platform deploys within customer infrastructure.
Deploying Netomics for Enterprise Network Visibility and Automation
Application: Defining the Netomics On-Premises Deployment Architecture
Installing Netomics places the full platform directly inside customer infrastructure to maintain strict data sovereignty. This self-hosted design separates the solution from cloud models because Netomics runs entirely on-premises instead of pushing data through external processing pipelines. Keeping routing intelligence on-site removes third-party dependencies so intelligence stays private, remains available during outages, and stays under the organisation's control.
Deep integration happens through REST APIs and Prometheus metrics for smooth workflow automation. Public tools often enforce external rate limits that stall investigations, yet this approach bypasses those caps while connecting straight to existing network infrastructure. Network teams query historical routing changes and IRR records without exposing sensitive internal topology to outside vendors.
SaaS options might offer quicker initial setup, yet they sacrifice ownership of the intelligence layer entirely. Operators selecting on-premises deployment secure an internal source of truth that external providers simply cannot guarantee. This strategy specifically serves organizations facing rigid data sovereignty requirements. Selected features appear publicly at www.netomics.com for exploration before implementing the full suite.
Application: Integrating Routing Data into AI Assistants via Model Context Protocol
Netomics plugs routing intelligence directly into AI assistants like ChatGPT and Claude using native Model Context Protocol support. Static BGP data becomes actionable insight for automated troubleshooting workflows through this connection. Operators ask complex questions about prefix histories or validate route origins using natural language prompts tied to local REST APIs. API-driven network automation keeps sensitive routing logs inside the corporate perimeter during analysis. External lookup tools impose rate limits, whereas this method preserves data sovereignty while removing those restrictions.
Access to routing intelligence arrives via a web interface, REST APIs, Prometheus metrics, and native Model Context Protocol (MCP) support so organisations integrate routing data into automation workflows easily.
- Define the local Netomics endpoint within the assistant's configuration file.
- Connect routing data into automation workflows using the platform's integration capabilities.
- Query historical changes without manual aggregation steps.
- Validate route origins through natural language prompts.
- Monitor real-time BGP feeds inside the corporate firewall.
Immediate access to network observability arrives without manual data aggregation headaches. Keeping intelligence on-premises offers a distinct advantage over relying on third-party clouds. Organizations use this architecture to improve visibility and automate operations effectively.
Operational Checklist for Automating Workflows with REST APIs and Prometheus
Validate the REST APIs connection first to confirm immediate prefix visibility across the dashboard. This step guarantees the automation stack ingests fresh routing data without waiting on external polling intervals. Live BGP Monitoring Protocol (BMP) feeds combine with global forwarding data inside the platform to provide a thorough view of Internet routing.
The design gives operators complete ownership of their routing intelligence while making it easier to troubleshoot incidents, automate workflows and improve routing security.
About
Vladislava Shadrina, Customer Account Manager at InterLIR, brings direct industry insight to the discussion of Netomics and evolving routing intelligence. In her daily role managing client relations for a specialized IPv4 marketplace, she assists ISPs and cloud providers who rely on precise BGP visibility to secure their network assets. As organizations increasingly demand self-hosted solutions to maintain control over routing data and RPKI validation, Vladislava's work connecting buyers with clean, verified IP resources highlights the critical need for reliable infrastructure management. At InterLIR, the focus remains on ensuring security and transparency in IP resource allocation, a mission that aligns with the industry's shift toward sovereign routing intelligence. Her experience supporting diverse global clients highlights why maintaining independent, internal visibility into Internet routing is essential for modern network operators seeking stability and efficiency in a constrained address space.
Conclusion
Scaling network observability breaks when operators rely on fragmented external tools that impose rate limits and compromise data sovereignty. The ongoing operational cost involves manual aggregation delays and the risk of exposing sensitive routing logs outside the corporate perimeter. True automation demands an architecture where intelligence remains on-premises while still offering smooth integration with modern workflows. Organizations must transition to self-hosted solutions that combine live BMP feeds with global path selection data under a single, secure interface.
Deploy the Netomics endpoint within your assistant's configuration file this week to establish immediate, unrestricted access to prefix histories. This specific action validates your connection before attempting complex natural language queries or automated troubleshooting routines. Unlike third-party clouds that treat your data as transient, this approach ensures compliance api standards are met without sacrificing speed. You gain the ability to query historical changes and validate route origins instantly, removing the latency inherent in external polling intervals.
The industry shift toward sovereign network operations requires more than just new tools; it requires a fundamental change in where analysis occurs. Start by defining your local Netomics endpoint today to secure your routing intelligence against external dependencies. This concrete step anchors your automation stack and guarantees fresh data ingestion without waiting on outside vendors.
Frequently Asked Questions
Self-hosting removes dependency on external uptime and rate limits. This ensures [network operator](https://www.lightreading.com/regulatory-politics/at-t-t-mobile-and-verizon-join-cables-strike-force) continuity when public lookup services degrade during global routing instability events.
The system aggregates BMP feeds, IRR data, and RPKI validation locally. This creates a single source of truth for any [network operator](https://www.lightreading.com/regulatory-politics/at-t-t-mobile-and-verizon-join-cables-strike-force) managing complex IP networks.
Native Model Context Protocol support enables direct AI assistant queries. This allows engineers to automate troubleshooting via [protocol](https://thecybersecguru.com/networking/networking-basics-guide-2026/) standards without exposing sensitive routing data to third parties.
Entities must possess local compute resources to process full routing tables. Operators should also [establish your own ASN](https://www.mosaicnetworx.com/how-to-establish-your-own-asn/) to fully leverage autonomous routing intelligence capabilities.
On-premises deployment ensures sensitive routing topology never leaves the organizational perimeter. This approach satisfies strict [compliance api](https://blog.cloudflare.com/casb-anthropic-integration/) requirements that cloud-based alternatives often cannot meet internally.
References
