Plan Ahead by Baking Agility Into Your Storage Infrastructure Strategy

Presented by

Jimmy Tam, CEO, Peer Software

About this talk

The unprecedented breakout and proliferation of Covid-19 has taught us that almost anything can happen at any time. Today, organizations that thrive have successfully stressed their IT infrastructure, and adapted quickly to new business realities. From unplanned surges of remote workers, to the crashed adoption and migration to cloud-based technologies, your enterprise data architecture is even more strategic to current, and future success. Attend this session to understand the necessary ingredients to bake flexibility and agility into your storage infrastructure strategies. Make higher degrees of data portability, data sharing, data availability, and business continuity with minimal risk of vendor lock-in a new reality for your organization. Session attendees will experience how to: - Quickly expand capacity for application and data access using existing data center assets - Enable seamless integration of on-premises, private and public cloud resources - Power load balancing and high availability across multiple data centers, cloud zones, and branch offices for fast local access to files for distributed teams and applications. About Jimmy Tam: As Peer CEO, Jimmy actively champions and guides the development of forward-looking storage technologies that enable organizations to manage, share, protect, and extract value from data found in ever complex enterprise environments. Jimmy holds a Bachelor of Science from the University of California, Berkeley, and is a regular presenter at leading technology, financial, and management conferences.
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The Enterprise Architecture channel presents the next generation of Enterprise IT: recognizing the strategic importance of digital transformation and the data center to make companies more nimble and competitive. These presentations will help demanding IT and BizOps professionals achieve flexibility, scalability and performance with reduced risk and complexity.