In-Memory Computing Patterns for High Volume, Real-Time Applications

In-Memory Computing Patterns for High Volume, Real-Time Applications

The real-time demands on modern business applications used by customers and frontline employees or partners have become so extreme that even disk and network access takes too long. It's not just the latency.  In order to respond faster to each request or automate certain tasks, these applications have to process much larger data sets in real-time. Learn more about how American Airlines (AA) used in-memory computing to solve these challenges. This session will go through the architecture and technology choices to meet the requirements and SLAs of the business, and some of their initial requirements for evaluating various technologies. It will also detail specific implementation patterns to address the challenges of ACID transactions and performance at scale.

Schedule
Room
Ballroom B

Tracks:

Tales from the Trenches
Speakers
Narendra
Paruchuri
Senior Principal Architect
at
American Airlines
Narendra Paruchuri is Senior Principal Architect at American Airlines Inc. In his current role Narendra works on delivering architecture for applications used in airports, tower and ramp. In his current role he also responsible for creating innovative solutions by conducting proof of concepts and creating standards for enterprise. His areas of interests are data modeling, In-memory computing and distributed systems. Outside work he enjoy his time with family and travel.
Murali
Ande
Director of Technology Innovation
at
American Airlines Inc
Murali Ande is Director of Technology Innovation at American Airlines focusing on business process redesign and innovation. He holds seven patents and constantly pushes for adopting new technologies to improve customer and employee engagement. His areas of interests are robotic process automation. Outside the work volunteers his time to induce interest at middle and high school students toward robotic technologies.

Slides & Recordings

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