Enterprise service buses (ESBs) make information and interactive services accessible to a wide range of distributed applications and users. They handle information routing, permission management, version control, and resource allocation. The movement of data through an ESB is handled by messaging technology. Download this white paper to learn about a messaging infrastructure for any enterprise-class ESB.
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The rapid development and adoption of real-time, push-based web technologies is driving requirements for many more real-time data applications running within browsers and on mobile devices. Many of these applications have large and unpredictable data volumes, user counts, or both, putting stress on many software-based web streaming solutions. This white paper examines Solace's high-performance messaging solution to support the streaming of real-time data over the internet to browsers and mobile devices.
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Driven by increasing business demands and the availability of technologies like in-memory databases, change data capture software, big data storage systems, and complex event processing engines, some organizations are looking to enterprise data grids to accelerate, optimize, and scale their IT infrastructure. Managing big data scale transactional and event stream information is about more than just storing massive amounts of data; it requires the intelligent collection, filtration, sharing and exposure of information via enterprise apps connected by LANs, WANs and cloud/grid environments.
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Multicast-based messaging systems are limited in use to point applications under very controlled conditions due to their tight coupling to the Layer 2 network, lack of management and control, and lack of robustness. This white paper explores the key disadvantages of multicast, and explains the benefits of a hardware-based solution with embedded support for point-to-point ‘unicast’ distribution and message routing.
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Three kinds of messaging need to be supported in Single Dealer Platforms (SDPs) in investment banking: real-time for quote distribution, persistent for order flow, and streaming over the web to rich internet applications. It has historically taken three separate messaging products to meet these needs, but the implementation and integration of these systems introduces many challenges, including the complexity and fragility of the system and scalability issues. This white paper shows how an integrated messaging platform that handles all of the messaging requirements for SDPs reduces these challenges while increasing flexibility and robustness.
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The increasing volume of orders, pervasiveness of algorithmic trading systems and customer demand for lower latency are outpacing the capabilities of the software- and server-based systems sell-side firms use to do process trades in financial markets globally. This is causing many of these firms to experience lower trading performance, dissatisfied customers and high operational complexity and costs. This white paper looks at the disadvantages of traditional approaches to achieving the guaranteed messaging requirements of order execution and explains the benefits of solutions that perform message routing entirely in hardware.
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The proliferation of process automation, sensor networks, user-generated content, machine-to-machine connections, and mobile computing is driving the far-reaching trend referred to as “big data.” It takes new tools and techniques to collect, process, and distribute this enormous amount of information. Download this white paper and know how to overcome six of the challenges you’ll face as you strive to capitalize on big data.
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Open source messaging middleware is an increasingly popular way to provide data distribution functionality inside and outside the datacenter. It can let companies cost-effectively meet relatively simple messaging requirements without the expense of purchasing a commercial messaging platform. It is important to understand the relative strengths and weaknesses of open source and appliance-based messaging in order to choose a platform that meets your short- and long-term needs as cost-effectively as possible. This white paper gives points to consider when evaluating open source messaging and a set of questions and answers to aid in identifying the right solution.
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Driven by increasing business demands and the availability of innovative new technologies, large organizations are turning to enterprise data grids to accelerate, optimize, and scale their IT infrastructure. Enterprise data grids allow the consolidation of siloed information into a single image that is updated in real time and accessible with low latency by many applications. This paper describes the architecture of an enterprise data grid and gives common applications. Learn how to overcome the challenge of efficiently moving information from data sources to the various application consumers in the data grid and coordinating data flow between data grid instances.
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Many forces in today's world of big data are driving applications to become more real-time. Data needs to go many places, be sorted and stored in different formats, and used in a wide variety of ways. Capturing high volume data streams inside and outside datacenters can be complicated and expensive using traditional software messaging middleware on general purpose servers. In order to realize the full value of “big data” some organizations are switching to real-time message-oriented middleware appliances that excel at the high-speed distribution of large volumes of data.
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