| | Hi David, MapR announced today groundbreaking innovations* for independently scaling compute and storage, by continuing to take a leadership role in embracing Kubernetes and containers. Why is this important? Today's AI/ML and analytics workloads can be bursty and unpredictable. Provisioning infrastructure for worst-case (maximum load) compute scenarios is costly and increases administrative overhead. Kubernetes solves for some of this by letting organizations orchestrate and spin up containers as compute needs arise. Yet challenges persist. With today's announcement, MapR simplifies the entire process of spinning up compute when and where you need it. With deeper integrations with Kubernetes, MapR now powers your organization's ability to: - Better handle compute needs that are bursty and unpredictable;
- Run compute jobs (Spark and Drill queries) in a truly multi-tenant environment, ensuring tenants do not starve each other of precious resources such as CPU and memory;
- Easily deploy and scale compute across different types of environments, including on-premises, public, and hybrid cloud; and
- More effectively manage use cases (e.g., next-gen applications and data lake) in an increasingly hybrid cloud environment.
| | Register for our webinar on April 11th. | | | |
Regards, MapR Team
*General Availability in Q2 2019 | | | | |
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