How to Identify I/O Bottlenecks in CI/CD Pipelines
Blog post from Azion
Azion's efforts to optimize their deployment pipeline revealed that increasing CPU and memory resources did not reduce deployment time, as the bottleneck was primarily due to I/O operations rather than processing power. By analyzing CPU usage and execution time, it was determined that the delay was caused by waiting for network I/O operations, such as artifact uploads and dependency pulls, rather than computational tasks. The solution involved switching to Azion Object Storage using the S3 protocol, which allows for parallel uploads, and increasing the CLI parallelism from 5 to up to 20 workers, based on CPU cores as a starting point. These changes reduced upload times from nearly two minutes to as little as 3.5 seconds, significantly enhancing the development cycle by allowing for faster code deployment and iteration. This improvement has been integrated into the Azion Console pipeline, benefiting users with faster deployment times without requiring changes to their projects.
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