Discover the truth about manual tuning for Spark applications

This white paper debunks the myth that manual tuning of Spark applications can eliminate all waste. While it aids in optimizing resources, it has limitations. Spark's dynamic resource needs make it hard to provision the right CPU and memory. Tuning infrequent or variable applications is labor-intensive and impractical. Static provisioning can't adapt to these changes, leading to waste that manual tuning can't eliminate, especially at scale. The opportunity cost is high, as developers could focus on new projects. Ultimately, automation is needed to align resources with real-time usage. Read the full paper to learn more.