Collection:

Cloud-Native Function

Validate and Benchmark 5G Cloud-Native Environments

Cloud-Native Function testing features the Keysight (formerly Spirent) Landslide product family.

Model:

LN2CNIB003

N/A

Landslide Cloud-Native Infrastructure Benchmarking

Benchmark CPU, memory, storage, and networking performance across Kubernetes clusters to validate infrastructure readiness before CNF deployment.

Technology Kubernetes, Cloud-Native Infrastructure, 5G SA, 5G-Advanced
Test types CPU Benchmarking, Memory Benchmarking, Storage Benchmarking, Networking Benchmarking, A/B Testing, More…

Ensure 5G Cloud-Native Deployments Perform Under Real Conditions

Operators migrating to cloud-native 5G standalone (SA) architectures face a dual challenge, confirming that the underlying infrastructure can support demanding workloads and that cloud-native network functions (CNFs) remain resilient under stress. The Landslide Cloud-Native Testing family addresses both needs. Infrastructure benchmarking validates CPU, memory, storage, and networking performance across Kubernetes clusters before CNFs go live. CNF resiliency testing then generates real 5G traffic while simultaneously injecting impairments. Together, these solutions give network and cloud teams the confidence to deploy, scale, and operate 5G services in dynamic, multi-vendor cloud environments.

Infrastructure Benchmarking

Benchmark CPU, memory, storage, and networking performance across private cloud Kubernetes distributions to confirm capacity before deploying cloud-native network functions.

CNF Resiliency Validation

Inject real-world impairments — including object failures, network contention, and resource constraints — while generating 5G traffic to validate fault tolerance and recovery.

Real-Time KPI Correlation

Correlate infrastructure and CNF impairments directly with 5G key performance indicators such as sessions, registrations, and handoffs to pinpoint service impact.

Automated DevOps Integration

Integrate with continuous integration/continuous delivery (CI/CD) pipelines and use drag-and-drop workflow engines to automate repeatable testing as environments evolve.

Test types CPU Benchmarking, Memory Benchmarking, Storage Benchmarking, Networking Benchmarking, A/B Testing, More…
Technology Kubernetes, Cloud-Native Infrastructure, 5G SA, 5G-Advanced, Cloud-Native Network Functions

Benchmark CPU, memory, storage, and networking performance across Kubernetes clusters to validate infrastructure readiness before CNF deployment.

Landslide Cloud-Native Infrastructure Benchmarking

Benchmark CPU, memory, storage, and networking performance across Kubernetes clusters to validate infrastructure readiness before CNF deployment.

Technology Kubernetes, Cloud-Native Infrastructure, 5G SA, 5G-Advanced
Test types CPU Benchmarking, Memory Benchmarking, Storage Benchmarking, Networking Benchmarking, A/B Testing, More…

Highlights

Landslide Cloud Engine benchmarks the performance, efficiency, and behavior of cloud-native infrastructure and cloud-based resources under real-world conditions using a tiered, microservices-based architecture.

  • Performance benchmarking
  • Benchmarks CPU, memory, storage, and networking across major private cloud Kubernetes distributions including OpenShift, VMware Tanzu, WNDRVR Cloud Platform, Rancher, and k3s
  • Measures CPU throughput, memory utilization, storage input/output (I/O), and network traffic under configurable workloads
  • Captures detailed Kubernetes-layer metrics on utilization, latency, and allocation efficiency
  • Workflow and automation
  • Drag-and-drop workflow engine combines unlimited CPU, memory, storage, and networking actions in a single scenario
  • Integrates with continuous integration/continuous delivery (CI/CD) pipelines for ongoing infrastructure benchmarking as part of DevOps workflows
  • Supports user-defined workloads and parameters to emulate diverse operating conditions
  • Visualization and analysis
  • Real-time dashboards powered by Grafana, Prometheus, and Kafka for rapid, data-driven decisions
  • Comprehensive metrics collection from Kubernetes exporters including cAdvisor, Node Exporter, and kube-state-metrics
  • Time-series database stores results for trend analysis and correlation visualization
  • Dynamic infrastructure validation
  • Validates that Kubernetes clusters can dynamically allocate, migrate, and recover workloads across multi-vendor environments
  • Supports A/B and shadow testing to compare configuration changes
  • Identifies resource bottlenecks before production deployment

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Calibration

Ensure your test system performs to specification and meets local and global standards.

Education

Make measurements quickly with in-house, instructor-led training, and eLearning.

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