Solving capacity management problems for Trino clusters, and how Starburst Galaxy makes it easy

Managing capacity for Trino clusters can be complex, requiring a deep understanding of past, present, and future capacity needs to ensure clusters are efficiently sized to avoid failures and excess costs. Starburst Galaxy simplifies this process by offering autoscaling, auto suspend, and auto shutdown features, allowing clusters to dynamically adjust based on workload demands, which can lead to significant cost savings by preventing idle servers. Manual cluster sizing involves creating default configurations and iteratively testing and adjusting based on workload performance, focusing on optimizing server memory allocation. Additionally, managing multiple clusters for different functions, such as analytics and ETL jobs, is common, and Starburst Galaxy facilitates this by allowing easy provisioning and configuration while eliminating the need for complex routing and load balancing. The platform's features, like Warp Speed, enhance performance by enabling smart indexing and caching, making it easier to manage workloads and reduce costs. This approach reduces the trial-and-error traditionally associated with Trino deployments, offering a more efficient and flexible solution for managing data workloads.