Reducing database costs while improving database performance.
Now that teams are increasingly being pressed to cut costs, the database can be a low-hanging fruit for sizable cost reduction – especially if you’re managing terabytes to petabytes of data with millions of read/write operations per second.
Watch Tzach Livyatan, VP of Product at ScyllaDB, as he shares four ways that teams commonly cut database costs by rethinking their database strategy. We’ll cover topics including:
- Cutting admin costs by reducing node sprawl and reducing the need for tuning
- ScyllaDB as a better, compatible Amazon DynamoDB
- Options to increase price performance through new cloud instances
- Ways to safely add more workloads to your cluster without compromising the performance of your latency-sensitive workloads
