Multi-vendor complexity
Different NOS, CLIs, templates and operational workflows across Arista, Cisco, Cumulus, SONiC and more.
NetCyntra Cygnus is an intent-based, vendor-agnostic fabric automation platform for modern data centers — from Day-0 design and simulation to deployment, telemetry and Day-N operations.
The challenge
Configuration error remains a major source of network operational risk across multi-vendor data center fabrics.
Different NOS, CLIs, templates and operational workflows across Arista, Cisco, Cumulus, SONiC and more.
Changes are validated inconsistently, increasing configuration and deployment risk before traffic ever moves.
Adding racks, pods or tenants should not require rebuilding the operational model every time.
Cygnus turns network intent into a validated, deployable and observable fabric.
Core workflow
Define what the network should deliver.
Cygnus computes topology, resources and vendor-specific configuration.
Validate the fabric before production deployment.
Deploy across supported NOS and hardware platforms.
Observe, troubleshoot, automate and manage changes through AI-assisted operations.
The Cygnus platform
Topology, resources, server requirements and vendor configuration from a single intent.
Create a disposable virtual fabric and validate changes before production.
YANG-driven onboarding and vendor-specific configuration without scripting every device.
Agents observe, analyze and execute approved operational workflows.
Architecture
Cygnus is the control and automation layer — not another switch. It operates across the fabric and supported NOS platforms.
Modern data center fabric
Automated underlay and overlay with BGP.
Tenant-isolated L2/L3 networking with VPC-level abstraction.
NAT, L4 load balancing and elastic IP services.
Operate supported SONiC and other YANG/RESTCONF-capable NOS platforms through one operational model.
Change pipelines with Batfish pre-deployment validation.
Streaming telemetry, dashboards and cross-fabric event correlation.
AI operations
Cygnus combines network intelligence with action-oriented AI agents to continuously observe, analyze and operate the fabric — on-premises.
AI agent team
Brownfield adoption
Discover and model an existing network before changing it. Adopt brownfield infrastructure progressively while maintaining operational visibility and control.
Comparison
| Capability | NetCyntra | Traditional NOS | Other Vendors |
|---|---|---|---|
| Multi-vendor | SONiC, Arista EOS, Cisco NX-OS, Junos + YANG/RESTCONF | Single vendor | Usually tied to one vendor |
| Visual designer | Outcome → topology + config computed | CLI per box | Often template-bound |
| Brownfield import | LLDP/BGP discovery, zero-impact adoption | Manual | Often greenfield-first |
| Automated rollback & recovery | Built-in | Manual / External | Platform specific |
| Pre-deploy simulation lab | Disposable virtual fabric gates deploy | None | Dry-run common; gating rare |
| Built-in AI assistant | On-prem, plain-English, 24/7 | None | Usually cloud-hosted |
| On-premises | Fully on-prem, Docker-native | On-device (no fabric control plane) | Often Cloud / SaaS |
| Zero-code NOS onboarding | YANG-driven, no-code | Vendor scripting | Plugins / PS needed |
| Deployment | Docker-native, ~5 min stand-up | Embedded in switch | VM / appliance / cloud — heavier |
| Telemetry and drift detection | Integrated | Separate tools | Platform-specific |
| Agentic network operations | Detect → Analyse → Execute | None | Assisted / Workflow |
Lifecycle
Use cases
Modernize network operations across multi-vendor infrastructure.
Operate multi-tenant fabrics with VPC isolation.
Manage multiple customer fabrics from a common operational platform.
Adopt open networking while maintaining operational control.
Build and operate high-performance data-center fabrics for modern compute workloads.
Deployment
See how NetCyntra Cygnus can design, validate and operate a multi-vendor fabric from a single intent.
ODM and Other PARTNERS
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Next steps
Talk to the PalC team about NetCyntra Cygnus for Day-0 design, Day-1 provisioning, and Day-N operations.