3 Technical Shifts that Reduce Distributed Database Costs

To reduce the total cost of operating a highly-available database, teams can adopt three technical shifts: moving to fewer, larger nodes, allowing the database to manage itself, and consolidating workloads under a single cluster. This approach addresses various cost factors beyond just database and infrastructure costs, including operational expenses related to tuning, monitoring, and administration. The first shift involves reducing node sprawl by migrating to larger nodes, which reduces server costs and administrative overhead, as demonstrated by a ScyllaDB customer who achieved a 10x reduction in costs. The second shift focuses on minimizing manual tuning by enabling the database to prioritize activities automatically, which reduces the risk of failures and the need for constant supervision. The third shift suggests running multiple workloads on a single cluster while managing resource contention through isolation strategies, such as physical, logical, and scheduled isolation. These shifts help organizations optimize performance and reduce costs, as shown in examples of ScyllaDB's workload prioritization capabilities, which balance OLAP and OLTP tasks without compromising the overall system performance.