Hyperion Financial Management: Performance Tuning Guide

For house-to-house tuning information for the PM System, please constitute to the emailprotected hyperfine PM, Fusion Edition Performance and adjust Guide. Top of inscription This enrolment is written for people who monitor surgery and tune the components in an PM/BI environment. It is assumed that readers know server administration and hardware performance tuning fundamentals, web servers, java application servers and database. Introduction to visionary Hyperfine PM System Performance To maximize Oracle Hyperfine PM System performance, you need to monitor, analyze, and tune all the components.This guide describes the tools that you keep use to monitor performance and the techniques for optimizing the performance of Oracle Hyperfine PM System components, for causa fiscal Management, Sybase, Reporting and Analysis and Planning. Performance voice communication This guide uses the following performance terms Scal susceptibility The systems ability to perform in spite of ap pearance specification under increasing exploiter load, data load and hardware expansion. Latency The date between the issuing of a request and the time when the work actually begins on the request. Think time The time a real user pauses to think between actions.Resource utilization A inlet metric, for sample, the percent of CPU usage. Response time A time metric, for example round-trip time it takes the server to deliver a Web page. Throughput A total metric (requests per unit of time), for example, requests per second, bits per second. For example, if an application can handle 20 guest quests simultaneously and each request takes one second to serve well, this site has a potential throughput of 20 requests per second. Understanding Key Performance Drivers To optimise your deployment, you must(prenominal) understand the elements that influence performance and scalability.A chemical element that dictates performance is called a bring divulge performance driver. Knowing how the drivers behave in combination further enhances your ability to deploy Oracle Hyperfine PM system optimally, based on the unique requirements of each deployment. Hardware Capacity Factors such as number of servers, quantity and speed of processors, available RAM, network speed etc. technical foul Platforms Tuning Fine tuning other third party packet required for installing and running Oracle Hyperfine PM products for example relational databases, Java application servers, Web servers, Server / Client run System and browsers.Business diligence Design Application design is an important factor in system performance I. E. Structure, size, and use of product features in invention applications databases, reports, Web data entry forms, calculations and consolidations. Business Process usage Activities carried out by users in the normal flow of your business cycle. Business process usage has three components User natural action-?Activities available to users for data load or data entry, database processing (consolidations, copy, clear, and so on), and reporting and analysis. Rate of user activity A number of transactions executed by one user per one hour.User concurrency-?Number of users for each activity being carried out simultaneously. Tuning Recommendations for Financial Management Performance tuning Oracle Hyperfine Financial Management is a complex and iterative process. To ghetto started, this document includes recommendations to help you optimize your Oracle Hyperfine sew system reference. Note tuning has to be done for a particular production workload. Tuning can be conducted when workload is generated by load generation tools like Oracle Application Testing Suite (TATS) or Load Runner by HP.This document touches on several areas that provide a quick start for performance tuning Financial Management, including song Operating Systems parameters credit line HTTP Server parameters Tune HTTP Server Compression / Caching 4 Tune Oracle Database Parameters Hyper-Threading / SMS Con side of meatrations Note period the list in each of the above stated section is a useful tool in tarring your performance tuning, it is non meant to be comprehensive list of areas to tune. You must monitor and track specific performance issues deep down your implementation to understand where tuning can improve performance.Top Of Document analyse Performance Problems When a performance issue arises, it is critical to first watch the cause prior to taking any corrective action. Oracle does not recommend changing performance-related parameter settings or taking other actions until an all-inclusive analysis of the problem has been performed. Using supervise Tools Oracle strongly recommends victimization monitoring tools to collect performance ATA as part of the diagnostic process. Monitoring the WFM application server, web servers, database server(s) and network layers provide useful performance data.The recommended tool to monitor the WFM ap plication process performance on the Windows server side is Microsoft Performance monitoring. Steps for configuring Performance Monitor to gather the counters specific for HEM application can be found here HTTPS//support. Us. Oracle. Com/pop/faces/ obtain/km/ Documentations. JSP? Id=953294. 1 Performance counters to monitor include Us correspond Counter Guidance Memory Memory Free System model when Free System rascal Table Entries is Page Table Entries less(prenominal) than 8,000 Critical when Free System page Table Entries is less than 5,000.On WFM systems if you modify KGB without proper tuning as per recommendations stated in section Tune Windows /KGB, you will notice 5000 PET as initial value later the reboot. Memory Available Should be no glare than 20% to 25% of Installed Maybes physical memory. In these cases, carefully monitor Paging activity. Memory Page This counter should be below 1,000 at all times. Reads/sec central processing unit processor % processor Total proc essor utilization should be lower than about Time Total to 80%. Processor % Processor individually processor instance should be lower than about 5 disk 70% to 80% utilization.