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Data processing.for.smarterbusinessinfrastructure.v2
- 1. Data Processing for a Smarter Business Infrastructure Jim Porell
- 3. Examples of Industry patterns Hybrid transactions are evident across many industries Common Elements: On-line transaction processing, web browsing, business analytics, work flow processing Banking Insurance Retail Healthcare Telco Public Sector Core Banking Internet Rate Quotes On-line Catalog Patient Care Systems Business Support Systems (BSS) Electronic Tax Reporting Wholesale Banking – Payments Policy Sales & Management (e.g. Life, Annuity, Auto) Supply Chain Management On-line Claims Submission & Payments Operation Support System (OSS) Web-based Social Security Customer Care & Insight Claims Processing Customer Analysis
Editor's Notes
- We all see these workloads everyday, across industries. In Banking there are components across retail and wholesale banking that rely on several architectures to execute, but the core of most banking relies on System z and z/OS. Insurance typically maintains Claims processing on z but reaches out to the internet for interaction with consumers, utilizing Linux, Unix and Intel. Public Sector is relying more and more on the web based capability to reach out to consumers and improve the rate of return for taxes, accurate payment of social benefits and even Census based reporting.
- This chart represents the business components of a large North American Bank. Each one of the ovals represents a machine. A bunch of them in the top right are running websphere, for example. Using vMotion to move a virtual machine from one server to another is a small part of the puzzle. All the other issues of multiple interconnects with the security issues they present, still remain. As does the “silo” management approach. VMWare propagates the “fit for politics” approach. Transition: let’s see what happens if we virtualize most of this on a zEnterprise….
- In this chart, everything, except the end user devices, has been moved into a zEnterprise. Some of it might be on zOS, some on Linux on z, some on AIX on blades, some on x86 Linux on blades, whatever makes sense. But it’s all managed centrally, with the benefits outlines at the bottom of the chart. Note that there are no more physical LANs connecting all these distributed systems. They have been replaced with virtual LANs on a private data network, for greater security and fewer points of failure. Key is that the business applications, and the programming model, are unchanged. We just moved them onto a superior infrastructure.