Low latency is a gateway for the next generation of computing and data processing that enables us to create applications that were previously unimaginable.

These applications can incorporate AI constructs while operating at the edge of a network, and do it all in real time.

In this presentation we will discuss:

• Application architecture for reducing latency
• The business impact of latency in applications
• Building latency killing applications
• In-memory partitioned data storage
• How to process data streams in real-time

Joe Sherwin

Senior Solution Architect,
Hazelcast

 

Joe Sherwin is a senior level Solution Architect at Hazelcast with 23 years of experience in the design, development and implementation of application systems within multi-tier distributed computing environments.

Mr. Sherwin has been instrumental in the development of large-scale mission critical E-commerce, insurance and financial systems while working with clients such as Vanguard, Fannie Mae, Federal Reserve Bank, Citi Group, Bear Stearns, Fixed Income Clearing Corporation, Comcast Corp, Webster Bank, Gartner Group, The Hartford Life Company, IBM Global Services, Mass Mutual, Lincoln National Financial Corporation, Bank of America and Barnes & Noble Online Group.

Mr. Sherwin's experience includes architecting & implementing solutions using CORBA, RMI, Java EE compliant distributed object architectures, in-memory high transaction/low latency solutions using Hazelcast IMDG, GemFire, Ehcache and Oracle Coherence, as well as solutions deployable on IaaS or PaaS platforms like Cloud Foundry, Amazon Web Services, Rackspace and Heroku.