
Unified benchmarking framework validated edge system performance reliably
Client: Global technology provider | Solution: Automated framework standardized edge performance testing across systems.
Edge systems lacked consistent performance baselines
Engineering teams tested edge hardware with fragmented tools and inconsistent parameters. Performance data varied across labs, making it difficult to validate system behavior or compare configurations. Results came as raw logs with no visual analysis, and tests focused primarily on storage while ignoring CPU, memory, and network metrics.
Solution
Calsoft built an automated benchmarking framework using open-source tools integrated through Python. Teams could run standardized tests and view results through visual dashboards.
- Simulate I/O patterns with FIO for storage benchmarking
- Measure network throughput using iperf3 under load
- Validate CPU and memory with sysbench stress tests
- Automate execution and visualization with Python scripts
The framework incorporated edge-specific constraints like power limits and thermal behavior to reflect real deployment conditions.
Business Value


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