Introducing Systemwalker Service Quality Coordinator V15.0

Transcription

1 Introducing Systemwalker Service Quality Coordinar V15.0 < Version 2.0 > January 2013 FUJITSU LIMITED

2 Table of Contents Introduction V15.0 Enhanced Features Product Specification 1

3 Introduction Performance Analysis and Capacity Management Software 2

4 About Systemwalker Service Quality Coordinar It It is is a product that that supports maintenance and and optimization of of your your entire IT IT system with with multi-angled moniring and and analysis from from business service quality virtual resources Data center Business system Excel formatted report Physical server usage What-if analysis System operational status Resource usage Virtual machine usage Symfoware Resource optimization for infrastructure (server, network, srage) - Advance simulation of aggregation effect on the virtual environment - Visualization of resource usage by the host and guests Business application Business application Business application Apache Interstage Oracle Virtual machine Virtual machine Virtual machine Physical server Stable operation of business system - Easy check whether the business system is running normally - When a problem occurs, resource usage can be drilled-down, checked, and the bottleneck isolated - Daily management can detect signs of trouble and prevent problems from occurring 3

5 Installation Points Have problems like these? Cannot determine the operational status of your IT system - determine determine the the quality quality of of service service from from an an end end user user perspective perspective - see see the the business business throughput throughput visually visually - perform perform scheduled scheduled reporting reporting on on operations operations SQC can solve them Systemwalker Service Quality Coordinar is sometimes referred as SQC (1) Business Service Quality visualization Have problems caused by performance degradation of your IT system - gain gain an an understanding understanding of of deteriorating deteriorating response response times, times, and and take take action action - identify identify a bottleneck bottleneck quickly, quickly, and and recover recover - obtain obtain investigation investigation data data when when a problem problem occurs occurs (2) Maintain the Level of Service with Moniring and Drill-Down Have difficulty when planning investment for your IT system - carry carry out out effective effective capacity capacity planning planning based based on on forecast forecast demand demand - see see the the effect effect gained gained when when a server server is is scaled scaled out out (3) Investment Optimization Based on Analysis and Predictions 4

6 (1) Business Service Quality Visualization Until now Performance data obtained by each ol Tool A Very time-consuming and costly tasks Operational status cannot be undersod in a timely manner Tool B Tool C Data sorting Data processing Reporting After applying SQC OS Web/AP/DB Srage Published Web site SQC Everything from user response times through Web/AP/DB/srage is collectively managed by SQC Understanding the overall status of your system Memory CPU Disk AP Web DB Back-end system Front-end system Drilled-down analysis Tendency analysis Timely visualization of the operational status of the entire system! 5

7 (1) Application Example: Timely Visualization of the Entire System Normal operations can can be be confirmed at at a glance by by collecting several pieces of of important information Confirming each piece of information that indicates the normal status takes effort - Timely display of operational status - Narrow down problem locations on the Analysis window Dashboard: Displays important information on one window Analysis window Narrows down problem locations Number of processed jobs, response times Analysis window Application server performance Database performance Identify problems in chronological order Confirm deterioration of job response times Detect problems Check on the Analysis window Identify the problematic process 6

8 (2) Maintain the Level of Service with Moniring and Drill- Down Until now Time axis Problem occurs Lack of data means investigation struggles Waiting for recurrence (long term) Collect investigation data Troubleshooting Cause is unknown After applying SQC Time axis Problem occurs Investigation starts immediately (Status check and Troubleshooting) SQC Performance data continuously collected and accumulated at regular intervals Cause is isolated and system is recovered immediately! 7

9 (2) Application Example: Speedy Problem Analysis Even in a Complex Virtual Environment Quick separation by by analyzing from from both both host host and and guest sides quickly investigate the cause of deteriorating job response time performance - Moniring of response status - Drill down in related resources and isolate the cause Detect response time deterioration Confirm host server Guest A Check each guest 75% Guest B Guest C Drastic deterioration in response Problem detected CPU usage on the host server is kept down 75% even at the peak No problem CPU usage of the Guest C is close 100% Insufficient resource assignment 8

10 (3) Investment Optimization Based on Analysis and Predictions Until now (1) With insufficient resources, performance problems result in investigation costs (2) With excessive resources, extra investment is required for assets and maintenance Time axis Problem occurs Collect investigation data Investigation, analysis, action Asset management Patch application Electrical expenses After applying SQC Determine the amount of required resources for future demand by using the provided analysis scenarios, such as the tuning guidance and simulations, etc. CPU usage Process quantity Correlation analysis Process quantity CPU usage Additional resources are required if more than 10,000 accesses/hour Understand the tendency of changes over certain times of day and days of the week Current status Last year's status Understand changes by comparing with the same period last year 9

11 (3) Application Example: Check in Advance the Amount of Resources Required for Virtual Aggregation Determine the the appropriate amount of of resources by by forecasting the therequired resources put gether a highly accurate estimate of the amount of resources required for virtual aggregation Achieves highly effective virtual aggregation while avoiding peak load redundancies Virtual aggregation simulation Simulation results for resource usage after aggregation: -CPU usage - Memory usage - Disk I/O read/write - Amount of network send/receive Aggregation source Aggregation destination Analysis period 10 10

12 V15.0 Enhanced Features Enhanced Analysis and Forecasting Functions Essential for Utilizing Virtual Resources 11

13 Changing Operation Environment in IT systems - Sharing IT resources within the IT system, and providing it business departments as infrastructure - A new operation format where IT resources are aggregated in the virtual environment in an effort further reduce cost, and IT systems are provided business system users as infrastructure, is practiced more often at a rapid pace within organizations Sharing servers within an organization in an effort standardize and increase efficiency of operations Business system departments, as the users, are required increase efficiency in infrastructure tasks (procurement, planning, building, and operation, etc), so that resources become available for other tasks Business manager Infrastructure procurement Infrastructure demand Infrastructure planning Job A Job B Job A Job B Job C Infrastructure building Infrastructure operation IT resource IT resource Efficiency Virtual environment Standardization Infrastructure provision Center manager Infrastructure upgrade Infrastructure moniring Infrastructure moniring IT resources Shared Cost Cost reductions reductions in in IT IT resource resource aggregation aggregation and and reduced reduced load load on on the the business business manager manager are are countered countered by by an an increased increased load load on on center center managers managers who who provide provide the the IT IT resources resources 12

14 Challenges when Providing and Using Virtual Resources Optimize balancing the supply and demand of resources with high accuracy Private cloud environment (multitenant) User perspective Business system group Business system Server (Virtual/physical) Business system group A Business system A System B MW MW MW MW MW OS OS OS OS OS MW MW OS OS Challenges from user perspective Stable operation of business systems Maintaining level of service Match Infrastructure perspective VM guest VM host VM cluster Entire system Cluster A Cluster B Entire system Physical server Challenges from infrastructure perspective Providing high efficiency but low cost infrastructure services Capacity management required for for both both cloud cloud service service providers and and users users 13

15 V15.0 Enhanced Features Supports Supports capacity capacity management management through through perspectives perspectives of of both both providers providers and and users users of of virtualization/cloud virtualization/cloud environments environments Achieves Achieves effective effective utilization utilization of of virtual virtual resources resources by by using using analysis analysis reports reports boasting boasting Fujitsu Fujitsu tuning tuning technologies technologies Systemwalker Service Quality Coordinar Virtual aggregation simulation (*1) Resource sizing (P2V/redeployment) Tuning guidance (*2) Pointing out problems (CPU/Memory/ disk/network) Tenant Scale out simulation Response time forecast after server extension Web AP DB Simulation of aggregation and server extension With the simulation function, the effect of aggregation the virtual environment, the effect of reallocation, and response time forecast after scale out, etc, can be checked in advance. Bottleneck analysis Enhancements With tuning guidance, the status of resource bottlenecks can be detected based on Fujitsu's tuning technology, and recommended actions are presented. Analyze Physical server Virtual aggregation Deploy Resource pool Analyze Request extension Data center *1 By analyzing the performance load on the existing servers, job peak redundancies at the time of virtual aggregation can be avoided, and the appropriate number of resources can be estimated. *2 The operation know-how that Fujitsu has developed over the years is incorporated. Problems can be detected from the ballooning and swapping status, and recommended actions are presented. 14

16 Virtual Aggregation Simulation By By carrying out out appropriate estimation based on on the the operational status before aggregation, resource sizing costs can can be be reduced dramatically The amount of resources cannot be estimated appropriately with server specification alone By performing simulations based on the actual operational status, more efficient resource sizing can be achieved Numerous review tasks are needed after aggregation What a mess! Post-integration server is determined by preaggregation specifications (CPU, memory) (1) Aggregation source Specify the servers be aggregated (3) Simulation results after aggregation Understand the tendency of usage over a week Repeated Reallocate according the actual usage (2) Aggregation destination Specify the host OS (specification) 15

17 Scale Out Simulation By By checking the the improved effect effect on on response times times when when scaling out out the the Web/AP server in in advance, it it is is possible plan plan resource expansion appropriately Determining the effect, such as deterioration in response times caused by increases in the number of users in the future, is difficult With appropriate resource expansion, stable operation of the business system can be achieved Increase in the number of user accesses Forecast estimation of the number of user accesses Response time when the number of user accesses rises n times When? By how much? Server expansion Simulate response times: - What if servers are expanded? - What if the number of user accesses rises n times? Web AP DB Network End user 16

18 Tuning Guidance The The analysis report based on on Fujitsu's tuning technology guides the the user user through bottleneck locations and and appropriate solutions. Accurate tuning is is possible without advanced analysis skills. skills. Performance of a virtual machine deteriorated after another virtual machine was deployed Virtual machine can be deployed safely while avoiding the risk of bottlenecks occurring Performance deteriorated suddenly! Job A Job B Job A Job B Business manager Virtual Virtual machine machine Virtual machine Virtual machine Business manager Virtual machine Virtual machine Virtual machine Physical host Deploy Physical host Virtual machine Analyze bottleneck Infrastructure Infrastructure manager Infrastructure manager Infrastructure 17

19 Aumatic Creation of Report per Tenant An An operational/diagnostic report can can be be aumatically output for foreach tenant in in a multitenant environment. (ServerView (ServerView Resource Resource Orchestrar Orchestrar Cloud Cloud Edition Edition linkage linkage function) function) Settings are changed manually according increases/decreases in tenants. Reports cannot be created in a timely manner. Report on each user (tenant) is output at a fixed time everyday Changes have be made every time more tenants are added Scheduled Scheduled report report creation creation Performance data Scheduled report chart Report on Tenant A.. Tenant Tenant Tenant A Tenant B Tenant C CPU, memory, disk... Performance data collection and accumulation VM VM VM Report on Tenant B Report on Tenant C Tenant A Tenant B Tenant C Tenant management 18

20 Product Specification List of Functions 19

21 List of Functions Moniring/visualization functions Analysis window and scheduled report window Service management function Web usage management function High reliability system operation Functions V15.0 New functions Standard Edition Summary display Y Y Drilled-Down display Y Y Virtual aggregation simulation Planning (*) Scale-out simulation Y Y Tuning guidance Performance analysis Reporting according the analysis scenario Y Y Generic report Y Y End user response management function Y Y Service operation management function Y Y Enterprise Edition Web transaction management function Y Y Server performance management function Y Y Application server performance management function Supports Interstage Application Server(Java EE) Y Y Supports Oracle WebLogic Server Y Y Database server performance management function Y Y Job performance management function Y Y Network performance management function Y Y Srage performance management function Y Y User data management Y Y Virtual server management function Supports VMware ESXi/vCenter 5.0/5.1, Linux virtual machine (KVM), and Oracle Solaris 11 Zone Y Y Web access log analysis function Y Y Tamper moniring function Y Y Cluster system moniring N Y Supports Manager/Enterprise Manager cluster N Y Manager/Enterprise Manager redundancy N Y Large scale system operation Entire system moniring (Manager layering) N Y Dashboard function Visualization with Dashboard N Y Y: Supported N: Not supported * : The estimates and simulation results displayed in each report are calculated on the basis of past results using Fujitsu's proprietary methods. Bear in mind that these are rough estimates and that operation is not guaranteed in the cusmer's actual computer environment. 20

22 Trademarks Apache, and Tomcat are trademarks or registered trademarks of The Apache Software Foundation. HP-UX is a registered trademark of Hewlett-Packard Company in the United States. IBM, the IBM logo, AIX, AIX 5L, HACMP, Power, and PowerHA are trademarks of International Business Machines Corporation in the United States and other countries. Intel and Itanium are trademarks or registered trademarks of Intel Corporation or its subsidiaries in the United States and other countries. Linux is a registered trademark of Linus Torvalds. Microsoft, Windows, Windows Server and the titles or names of other Microsoft products are trademarks or registered trademarks of Microsoft Corporation in the United States and other countries. All other trademarks are the property of their respective owners. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Oracle Solaris might be described as Solaris, Solaris Operating System, or Solaris OS. Red Hat is registered trademarks of Red Hat, Inc. in the United States and other countries. UNIX is a registered trademark of The Open Group in the United States and other countries. VMware, the VMware "boxes" logo and design, Virtual SMP, and VMotion are registered trademarks or trademarks of VMware, Inc. in the United States and/or other jurisdictions. Other company names and product names used in this document are trademarks or registered trademarks of their respective owners. The company names, system names, product names, and other proprietary names that appear in this document are not always accompanied by trademark symbols (TM or (R)). 21

23 22 Copyright 2010 FUJITSU LIMITED