In-memory data grids provide applications with fast data access and elastic scalability. And for many transaction-heavy applications, that’s enough. But for transaction-heavy applications that manage confidential or private data, you need more than just data grid functionality. You need protection.
Lock down your sensitive information with security, safety, and control.
Join us to learn how in-memory data grids handle data security to protect your data. We’ll begin with an overview of functionality. Then, we'll dive into how Red Hat® JBoss® Data Grid handles security, as well as additional data security topics, such as:
- Handling authentication and role-based access control (authorization) in library mode
- Handling authentication and role-based access control in client/server mode over Hot Rod
- Configuring secure communications between nodes
- Adding new nodes to a secure cluster
Divya Mehra Principal product manager, Red Hat
Divya Mehra is a Red Hat principal product manager responsible for Red Hat JBoss Data Grid and Red Hat JBoss Portal. He has wide experience in product strategy, definition, and delivery in the technology industry. He has a MS in computer science from Johns Hopkins and an MBA from Cornell.
Vijay Chintalapati Middleware solution architect, Red Hat
Vijay Chintalapati is a Red Hat middleware solution architect and part of the proof-of-concept team, where he focuses on JBoss Data Virtualization and JBoss Data Grid products. Formerly, Vijay worked as a senior middleware consultant with Red Hat partners, consulting on various Red Hat JBoss Middleware products.
Date: May 29, 2014
Time: 11:00 am ET