Ziip Ahoy: Full Speed Ahead for Dataport’s Mainframes

技术

应用基础设施与中间件 - 数据库管理和存储
平台即服务 (PaaS) - 应用开发平台

适用行业

电信

适用功能

商业运营

用例

预测性维护
过程控制与优化

服务

软件设计与工程服务
系统集成

挑战

Dataport, a pioneer in providing IT and communication services for government agencies in Germany, was facing several challenges. The company was tasked with digitalizing public administration, which was a significant undertaking. Additionally, they were dealing with ongoing high costs associated with throttled processors. The utilization of mainframe capacity was increasing, and there was a growing demand due to new customers. The company was also considering accepting Saxony-Anhalt as a new customer, which would further strain their mainframe capacity.

关于客户

Dataport is a service provider responsible for the telephone and data communication, administrative applications, data security, and tax administration for several states and municipalities in Germany. The company is a pioneer in providing IT and communication services for government agencies. With 2,500 employees, Dataport manages approximately 90,000 digital workspaces in six states and 70 communities. The company operates 5,000 servers and four mainframes, handling approximately 17,000 TB of data. In 2016, the company's revenues exceeded €507 million.

解决方案

To address these challenges, Dataport turned to Software AG's solutions. They implemented the Database Management System powered by Adabas, Application Development powered by Natural, and Application Modernization powered by Adabas & Natural and EntireX. A key part of the solution was the use of IBM's zIIP (z Systems Integrated Information Processor). By shifting the workload to the zIIP processors, the main processors were freed up and could be used for external clients without upgrading equipment and obtaining IBM licenses. This effectively solved the mainframe capacity problem. The zIIP enablement significantly improved mainframe capacity by offloading the Natural-supported batch and online workload from the GPP to an IBM zIIP.

运营影响

The load on the main processor has decreased massively for all applications as a whole.
Batch runtimes have been significantly reduced.
The deployment proceeded without technical problems overall.

数量效益

Load on main processors reduced by up to 99 percent (Natural components).
CPU times for a payroll run dropped in some instances from 90 CPU minutes to just 20 minutes.