Keysight LN2CNIB003 Landslide Cloud-Native Infrastructure Benchmarking
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
As enterprises modernize applications and migrate from virtual machines to cloud-native, containerized platforms, ensuring infrastructure readiness has become a critical priority. While Kubernetes and cloud platforms promise elastic scaling, high availability, and efficient resource utilization, teams often encounter performance variability, resource contention, and operational blind spots that impact application reliability and cost.
Validating whether infrastructure can consistently support business-critical workloads - while scaling, recovering, and reallocating resources across hybrid and multi-cloud environments - adds further complexity. Without clear performance baselines for throughput, latency, and capacity, organizations risk degraded application performance, unplanned outages, cloud overspend, and slower time-to-market
Keysight’s Landslide Cloud-Native Infrastructure Benchmarking provides purpose-built benchmarking to validate the design, deployment, and operation of enterprise cloud-native infrastructure before issues reach production.
As enterprises modernize applications and migrate from virtual machines to cloud-native, containerized platforms, ensuring infrastructure readiness has become a critical priority. While Kubernetes and cloud platforms promise elastic scaling, high availability, and efficient resource utilization, teams often encounter performance variability, resource contention, and operational blind spots that impact application reliability and cost.
Validating whether infrastructure can consistently support business-critical workloads - while scaling, recovering, and reallocating resources across hybrid and multi-cloud environments - adds further complexity. Without clear performance baselines for throughput, latency, and capacity, organizations risk degraded application performance, unplanned outages, cloud overspend, and slower time-to-market
Keysight’s Landslide Cloud-Native Infrastructure Benchmarking provides purpose-built benchmarking to validate the design, deployment, and operation of enterprise cloud-native infrastructure before issues reach production.
