IO attacks are strategic simulations designed to evaluate and enhance the performance and resilience of storage systems by simulating heavy input/output operations. Despite advances in storage technologies like SSDs and NVMe drives, data transfer between persistent storage and memory remains a bottleneck in system performance, impacting latency and user experience. IO attacks help identify potential performance issues by mimicking high-stress conditions, facilitating the preparation for high-traffic events and the launch of high-bandwidth services. They involve configuring parameters such as directory, mode, workers, block size, and block count to tailor the attack's intensity. While the attack is running, system performance is monitored to identify responsiveness issues and ensure applications remain stable under load. By testing these scenarios, organizations can validate their systems' ability to handle stress and optimize storage solutions before deployment, improving overall user experience. The process involves using tools like Gremlin to conduct the attacks, gradually increasing intensity, and documenting observations to share with engineering teams for further improvements.