VIDEOS
Extreme Transaction Processing in a Memory Oriented World
IMC Summit North America
Modern transactional systems need to be fast, always available and constantly scale to meet the ever changing needs of the business. It is becoming increasingly commonplace for next generation e-commerce systems to demand double or single digit millisecond response times, for financial trading systems to incur maximum latencies in the order of microseconds and gaming and analytic engines to consumes hundreds of thousands of transactions a second. It is a common and tempting mistake to believe that we can meet the extreme needs of such systems by just replacing traditional disk based storage systems with in-memory data grids using traditional application architectures. Such an approach will take us only so far after which the system’s demands will once again overtake its capabilities. To truly meet the extreme needs of these systems and continue to scale as the demand scales, we need to think differently about how such systems are architected and employ modern techniques to unlock the full potential of memory oriented computing. This talk, by Girish Mutreja, explains why and how.
How IMC Powers Next Generation Equity Trading
IMC Summit North America
Kevin Goldstein, Principal Solution Architect at Neeve Research discusses the in-memory architectures that enabled him to build very fast, reliable, and scalable enterprise applications in financial markets. The move towards in-memory computing was to meet ever-increasing demands on performance. Kevin has been instrumental in seeing this shift unfold mostly through the adoption of in-memory architectures that tackle not just the data side of the equation, but also the messaging and processing side of applications. Breakthrough performance and reliability have been achieved with an in-memory equities platform delivering one million ‘Client to Market’ transactions per second (TPS) at < 10 microseconds ‘Client to Market’ latency, with no performance change, going from zero to peak traffic, and with zero data loss guaranteed. In-memory solutions, with its minimal hardware footprint, goes even further to reduce massive investments in capital equipment resulting in significant saving.
Powering Digital Transformation with IMC
IMC Summit North America
Join Becky Wanta, COO/CIO of One Degree World (ODW), former CIO/CTO/Chief Innovation Officer of MGM Resorts International and Global CTO of Pepsico, BestBuy, Southwest Airlines, Wells Fargo, and Wellpoint Health to see what she has to say about enabling business agility. Becky discusses how the impact of in-memory computing was immediate, and the cornerstone to delivering a vision that disrupted her industry and remains unmatched with the competition today. Imagine the disruption of staid industries like Travel, Entertainment, Financial Services and Healthcare where new markets made achievable via an in-memory core infrastructure with high performance and high availability. Performance intensive applications/new capabilities (IoT, Omnichannel, Artificial Intelligence, Machine Learning, Blockchain, Augmented and Virtual Reality) are delivered ahead of the competition in days versus years while abstracting the complexity of the back-end legacy environments to support this speed-to-market.
The Convergence of Big Data, Real-Time and AI
IMC Summit North America
As big data initiatives mature, organizations are now combining the agility of big data processes with the scale of artificial intelligence (AI) capabilities to accelerate the delivery of business value. This convergence of big data with AI has emerged as the single most important development that is shaping the future of how firms drive business value from their data and analytics capabilities. Making AI real-time to meet mission-critical system demands put a new spin on your architecture. We all know that the deeper the data the better the results and the lower the risk. However, doing thousands of computations on big data requires new data structures and messaging to be used together to deliver real-time AI. During this session will look at real reference architectures and review the new techniques that were needed to make AI Real-Time.
“Hybrid Transactional Analytical Processing (HTAP)”
IMC Summit North America
Machines are getting stronger, software is getting faster, and data is getting bigger. The X-Platforms’ novel approach to stream processing and state management makes it unique in this problem space. HTAP requires massive amounts of data, and it needs to process it with sub-millisecond latencies, which is what the X Platform was built for. Coupled with our high-availability model, the platform lets you perform this analysis with the confidence that your systems will have full redundancy and five-nine’s availability.
This video discusses HTAP processing, how to leverage memory and state, and see how the X-Platform fits into this landscape allowing you to write highly available systems that serve out millions of transactions where latencies are measured in microseconds.
Exactly Once Stateful Streams
Distributed systems typically offer several levels of guaranteed message delivery. Most streaming architects often deploy a distributed message platform with an at least-once guarantee, which guarantees that the message will be sent, but with the caveat that it’s possible some messages may be duplicated. These cases where you can get the same message twice is a very typical distributed system problem when networks are unreliable. In today's mission critical streaming applications performance matters when dealing with streaming data, in-memory processing, and in-memory data is key. Keeping data in motion is important for the application performance. Organizations building real-time stream processing systems need to use an in-memory paradigm and be able to use any message broker and trust the platform to deliver each message exactly once.
Learn how to build in-memory applications on streaming data that do exactly one guaranteed processing without you having to code the needed guarantees into the applications. We will discuss how to build, monitor, and manage ultra-high performance, fault tolerant stream-based systems with extreme ease.
Microservices in Microseconds
The Microservices application architecture pattern is rapidly being adopted across enterprises. This webinar features Girish Mutreja, CEO at Neeve Research, as he walks through what microservices are, the benefits of implementing a microservices architecture, and how the X Platform™ allows one to reap the full benefits of such an architecture.
Using In-Memory Computing to Convert Big Data Into Fast Data
Deploying Big Compute applications can lead to a wide range of tools and approaches needed to run large-scale applications for business, science, and engineering using a large amount of CPU and memory resources in a coordinated way. To really succeed, the data itself must be scaled just as wide. The immediate problem is that in many cases, the speed at which you get results matters just as much as the results themselves.
For a business to really get the value they need from Big Compute, you need to shift the paradigm and toolset to a message based, stateful data architecture with distributed computations. This video walks through how the paradigm shift happened and where IMDG’s, NoSQL and In-Memory databases stopped working and what else was needed.
Build real-time dynamic pricing apps without compromise
This webinar demonstrates
How to easily build dynamic/competitive pricing capabilities that scale to meet business growth
More about key dynamic pricing elements in analytical/intelligent transactional applications
Build and leverage value based pricing to drive revenue
The speed of delivery and latency are key to competitive eCommerce and mission-critical capabilities. This webinar demonstrates how to
Leverage Competitive Personalized Pricing and Offer Management
Build and Deploy Real-time Value-Based Pricing
Build customer value-driven pricing capabilities
Leverage data integration to provide optimal real-time offers