Core Architecture

Deep dive into the distributed, software-defined infrastructure powering CloudNexus. Built for resilience, horizontal scaling, and zero-trust security.

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Edge Gateways

300+ PoPs, Anycast routing, DDoS scrubbing

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Control Plane

Global state management, API aggregation

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Compute Mesh

Kubernetes clusters, Bare metal hypervisors

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Data Fabric

Distributed object storage, Erasure coding

CloudNexus operates on a multi-region active-active topology. There is no single point of failure; control signals are replicated across geographic zones using a Paxos-based consensus engine, ensuring continuity even during regional outages.

Global Network Topology

Our backbone connects 50 primary data centers via private 100Gbps fiber links, bypassing public internet congestion. Traffic enters through anycast gateways that route requests to the optimal edge node based on latency and health metrics.

Layer	Technology	Redundancy	Latency Target
Edge	L4/L7 Load Balancers (Go/BPF)	Active-Active	< 5ms (Edge-to-Edge)
Aggregation	VPNs & Private Mesh	ECMP Routing	< 15ms (Inter-Region)
Backbone	100GbE Optical	Dual Homed	< 1ms (Intra-Region)

Optimization Note: CloudNexus uses intelligent traffic shaping to prioritize metadata control traffic over user data payloads during congestion events.

Compute Mesh Engine

Compute resources are abstracted into a unified Compute Mesh. Whether you deploy a container, a function, or a virtual machine, the underlying scheduler places workloads on the most suitable hardware topology.

Deployment Example

Use the CLI to define architecture constraints directly:

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nexus deploy my-app --region global \
  --compute-class "gpu-v100" \
  --replicas auto \
  --constraints "latency<20ms" \
  --storage-class "high-iops"

The scheduler evaluates real-time telemetry from the hypervisor layer, considering CPU cache locality, NVMe proximity, and network affinity to make placement decisions.

Data Fabric & Object Storage

Storage is decoupled from compute using our proprietary Data Fabric. Objects are split into shards and distributed across availability zones using erasure coding (4+2 parity), reducing storage overhead by 35% compared to triple replication while maintaining durability.

Storage Tiers

Tier	Storage Medium	IOPS	Access Pattern
Hot	Local NVMe + Remote Replication	1M+ IOPS	Frequent, Low Latency
Warm	Distributed SSD Array	100K IOPS	Moderate, Cost Optimized
Cold	HDD with Erasure Coding	10K IOPS	Archive, Infrequent

Control Plane

The control plane acts as the brain of the infrastructure. It manages identity, orchestration, and billing. It is built as a microservices mesh communicating over mTLS with strict rate limiting.

json Copy

{
  "cluster_id": "cnx-us-east-1-prod",
  "control_plane_version": "v2.4.1",
  "status": "healthy",
  "consensus_latency_ms": 2,
  "active_workers": 1248,
  "topology": {
    "zones": ["az-1a", "az-1b", "az-1c"],
    "failover_mode": "automatic"
  }
}

Security Model

Security is baked into the fabric. Every node boots with hardware TPM attestation. Network traffic between components is encrypted by default using zero-trust mesh networking.

Identity: SPIFFE/SPIRE integration for workload identity.
Isolation: Kernel-level namespaces and hardware enclaves (SGX/TDX).
Audit: Immutable audit logs streamed to customer-managed KMS keys.

API Integration

Every aspect of the architecture is accessible via our REST and GraphQL APIs. This allows you to build custom automation, monitoring, and deployment pipelines.

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curl -X POST https://api.cloudnexus.io/v1/architecture/scale \
  -H "Authorization: Bearer $CNX_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "service": "backend-api",
    "strategy": "predictive",
    "threshold_cpu": 65,
    "max_replicas": 50
  }'