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Infra Testing
Infrastructure testing ensures that Kubernetes clusters and deployed applications can handle varying levels of load while maintaining stability and performance. These tests validate horizontal scaling, resource allocation, and cost efficiency under different traffic scenarios.
Load testing simulates high-traffic conditions to evaluate how clusters and pods perform under stress. It identifies bottlenecks, verifies scaling configurations (such as Horizontal Pod Autoscalers), and ensures reliable application performance in production-like environments.
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Primary Goals:
- Evaluate how Kubernetes pods and clusters respond to heavy load scenarios.
- Verify the effectiveness of Horizontal Pod Autoscaling (HPA) and other scaling strategies.
Resource utilization data from load tests is used to estimate the potential costs of scaling clusters to handle increased traffic. Insights from these tests, combined with cloud provider billing models, support decision-making for infrastructure scaling and cost optimization.
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Key Benefits:
- Estimate costs associated with scaling Kubernetes clusters under varying loads.
- Identify opportunities to optimize resource usage and reduce expenses.
- Plan infrastructure capacity based on anticipated traffic demands.
Tools such as k6 are used to simulate load scenarios and monitor performance metrics. Complementary insights from Kubernetes tools (e.g., Horizontal Pod Autoscaler metrics) and cloud provider dashboards provide a comprehensive view of resource behavior and scalability.