White Papers
Automating enterprise activities becomes complex since it is necessary to harmonize hundreds of thousands of operations using different platforms and applications. This endeavour becomes even more complex when dynamic activities, such as managing orders in real time and automatically updating configurations, are added. Even when the complexity of a problem would not normally require excessive processing capabilities, the necessary performance capability and processing output easily justify the need to activate multiple resources in order to resolve the issue.
Back office IT operations have numerous priorities to juggle, and this means that all-too-often administrators have to "scramble" to fix problems manually. This in itself is not new. But better quality software is starting to make an impact in the drive to reduce the wasted time and effort caused by operational inefficiencies. What's more, companies can actually get more out of their existing assets by doing so.
As the computing environment becomes ever more complex and the volume of data processing mushrooms, data processing problems are growing exponentially. The challenge is not to try to eradicate such faults, but to ensure processes are executed on time despite faults occurring. Automating the problem resolution process needs to be an integral component of any contingency planning and problem resolution strategy.
Information technology has been through a profound transformation over the last two decades, in terms of both software and hardware architecture. One of the most significant changes is surely the increasing criticality of IT, which has switched from being a "cost center" to a "competitive advantage". However, the complexity of computer environments and this new strategic position are forcing thoroughgoing adjustments so that business players can work together efficiently to achieve companies' goals.
Switching to a single enterprise scheduler will reduce software costs and benefit from faster run times, fewer errors with staff spending less time maintaining jobs and fixing problems.
Some of what you will learn in the new white paper:
- 4 ways you can reduce batch scheduling costs
- 5 ideas where automation can be extended to enhance end-user service
- 6 steps you can take to get on to an enterprise automation platform
Download your complimentary copy of ‘Finding a Smart Alternative for Enterprise Scheduling’ to learn how replacing your legacy scheduler tools.
ORSYP questioned worldwide prospect organisations ranging from major banks and financial institutions to retailers, about which factors were the most constant frustrations for them in managing their IT operations. The key question asked was 'what is the most significant pain for you in ensuring that your IT operations are managed successfully on a daily basis? While many of the findings were predictable, one point was clear: human factors and the dynamic nature of business operations will always represent potential problems for the management of IT operations; the upside is that much of this pain is avoidable, or at the very least proper planning and more powerful systems management software can reduce the pain considerably.
Supervision and control of batch jobs by job scheduling is one of the central tasks even in modern IT. Not all methods and architectures in use are however suitable for use in open systems. Good, old batch processing is one of the more latent topics of IT. It is considered by many as a relict from the legendary days of punch cards. Indeed for users, their modern applications are almost only interactive: they make their inputs on the screen, the software processes them and reports back. At the most, the interactive PC user knows batch jobs only as
The Linux job scheduler cron is very Spartan in terms of functionality. To control and monitor its automatic processes on a professional basis it is necessary to call on special solutions such as Dollar Universe. This makes batch processing not only more efficient but also platform-independent.
Today companies are growing to job volumes of millions of batch jobs per month. They are using multi-platform distributed systems around the clock. Any job scheduler needs to be scalable in this environment.
As the economy continues to be erratic, some companies are using this time to address fundamental infrastructure issues. Job Scheduling is a discipline an area where you can get relatively short-term ROI impact. We wrote this as an introduction to that type of economic evaluatio
This white-paper introduces and explains different concepts linked to dynamic processor resource allocation for AIX LPARs and sheds light on the complexity that result from the abundance of available configuration possibilities.
This white-paper introduces and explains different concepts linked to active processor resource allocation for LPARs and sheds light on the complications that result from the abundance of available configuration possibilities.
Most tools on the market today that are designed to measure this activity use too few metrics, and do so in units of time too large for accurate measurement; nor do they offer an in-depth view inside of the “guest” operating systems. The Sysload white paper points out that performance data gathered directly from these guest operating systems offers the greatest value in measuring actual physical server performance.