Cost optimization techniques are important tools for data management leaders – and they’re not just about cutting spending. Rather, the goals are maximizing cost efficiency and business value. According to industry analyst firm Gartner, “many organizations are not aware of these practices or lack a structured plan for executing them.”
From the Gartner report, “Cost Optimization Is Crucial for Modern Data Management Programs,” you’ll learn how to apply leading practices across three main areas:
- People (skills) — review and revise existing roles and invest in new skill sets
- Practices (processes and architecture) — enforce standards to foster reuse and agility, implement process improvement using artificial intelligence and machine learning (AI/ML), and much more
- Technology — for instance, move to composable business architectures, reengineer systems in the cloud (data and apps), and explore open-source options.”
DataStax Astra DB, our cloud-native database-as-a-service, is designed for operational flexibility and low TCO. It can be deployed on any cloud, it scales up and down in response to changing workload requirements, and it features a pay-per-use pricing model that minimizes your initial investment.
