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Optimize Amazon EC2 Costs with Grafana k6 | Amazon Web Services

TL;DR AI

Key summary

2 min read
  1. AWS outlines a benchmarking method for CPU-bound EC2 workloads using Grafana k6 and a Monte Carlo π-estimation app.

  2. The test stack runs behind Nginx, Gunicorn, and Flask, with measurements taken across seven 2xlarge EC2 instances.

  3. The lineup spans Intel Xeon and AWS Graviton generations, including c5, c6i, c6g, c7i, c7g, c8i, and c8g families.

  4. The goal is to choose the best price-performance instance before deployment and avoid overprovisioning.

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