Server Consolidation Examples (So Easy, a Cave Man Could Do It)



Similar documents
Agenda. Capacity Planning practical view CPU Capacity Planning LPAR2RRD LPAR2RRD. Discussion. Premium features Future

Capacity planning for IBM Power Systems using LPAR2RRD.

Qsan Document - White Paper. Performance Monitor Case Studies

Deep Dive: Maximizing EC2 & EBS Performance

Free performance monitoring and capacity planning for IBM Power Systems

Bright Idea: GE s Storage Performance Best Practices Brian W. Walker

Evaluation Report: Accelerating SQL Server Database Performance with the Lenovo Storage S3200 SAN Array

Sun 8Gb/s Fibre Channel HBA Performance Advantages for Oracle Database

SCSI support on Xen. MATSUMOTO Hitoshi Fujitsu Ltd.

Network Performance Optimisation and Load Balancing. Wulf Thannhaeuser

The Flash Express Feature on IBM zenterprise EC12 and z/os exploitation of flash storage

Journey to the All-Flash Data Center

F600Q 8Gb FC Storage Performance Report Date: 2012/10/30

The safer, easier way to help you pass any IT exams. Exam : Storage Sales V2. Title : Version : Demo 1 / 5

Maquette DB2 PureScale

HP SN1000E 16 Gb Fibre Channel HBA Evaluation

Using Virtual Switches in PowerVM to Drive Maximum Value of 10 Gb Ethernet

Cybernetics isan D Series Affordable, Self-Protecting iscsi SAN Storage

IOmark Suite. Benchmarking Storage with Applica4on Workloads August, Evaluator Group, Inc.

Analysis of VDI Storage Performance During Bootstorm

City of Yakima/Yakima County Purchasing

IBM AIX MANAGED SERVICES:

Virtualization 101 for Power Systems

SPC BENCHMARK 1 EXECUTIVE SUMMARY 3PAR INC. 3PARINSERV T800 STORAGE SERVER SPC-1 V1.10.1

IBM i Virtualization and Open Storage. Mike Schambureck IBM Lab Services Rochester, MN

Azure VM Performance Considerations Running SQL Server

Virtualization what it is?

RAID. RAID 0 No redundancy ( AID?) Just stripe data over multiple disks But it does improve performance. Chapter 6 Storage and Other I/O Topics 29

Virtual Desktop Infrastructure (VDI) Overview

IBM Power Systems Facts and Features POWER7 Blades and Servers October 2010

EMC DATA PROTECTION. Backup ed Archivio su cui fare affidamento

Storage Systems Performance Testing

Building an Internal Cloud that is ready for the external Cloud

SMB Direct for SQL Server and Private Cloud

Centralize AIX LPAR and Server Management With NIM

Hadoop Size does Hadoop Summit 2013

Comparison of Native Fibre Channel Tape and SAS Tape Connected to a Fibre Channel to SAS Bridge. White Paper

Removing Performance Bottlenecks in Databases with Red Hat Enterprise Linux and Violin Memory Flash Storage Arrays. Red Hat Performance Engineering

Evaluation Report: Supporting Microsoft Exchange on the Lenovo S3200 Hybrid Array

Power Systems Performance Management In A Virtualized World. February 2015

Cloud Infrastructure Management - IBM VMControl

AIX NFS Client Performance Improvements for Databases on NAS

IBM Power 720 Express server

DELL TM PowerEdge TM T Mailbox Resiliency Exchange 2010 Storage Solution

Hitachi Data Systems WebTech Educational Seminar Series

Optimizing Large Arrays with StoneFly Storage Concentrators

Array Performance 101 Part 4

Future technologies for storage networks. Shravan Pargal Director, Compellent Consulting

3Gen Data Deduplication Technical

Comparing SMB Direct 3.0 performance over RoCE, InfiniBand and Ethernet. September 2014

Virtualization management tools

Hands-On Microsoft Windows Server 2008

Universal Backup Device The Essential Facts of UBD

Maximizing Backup and Restore Performance of Large Databases

How To Connect Virtual Fibre Channel To A Virtual Box On A Hyperv Virtual Machine

SAS Analytics on IBM FlashSystem storage: Deployment scenarios and best practices

VNX HYBRID FLASH BEST PRACTICES FOR PERFORMANCE

3 Examples of Reliability Testing. Dan Downing, VP Testing Services MENTORA GROUP

White paper. QNAP Turbo NAS with SSD Cache

<Insert Picture Here> Refreshing Your Data Protection Environment with Next-Generation Architectures

WHITE PAPER. How To Build a SAN. The Essential Guide for Turning Your Windows Server Into Shared Storage on Your IP Network

SAS deployment on IBM Power servers with IBM PowerVM dedicated-donating LPARs

Benchmark Performance Test Results for Magento Enterprise Edition

Return to Basics I : Understanding POWER7 Capacity Entitlement and Virtual Processors VN211 Rosa Davidson

HBA Virtualization Technologies for Windows OS Environments

Connecting Violin to AIX and PowerVM

Question: 3 When using Application Intelligence, Server Time may be defined as.

Ceph Optimization on All Flash Storage

Guide to AIX VIOS Monitoring. by: Nigel Adams, Independent IBM Consultant

DELL s Oracle Database Advisor

Performance Testing. Checklist Packet. Everything you need to trigger thoughts, discussions and actions in the projects you are working on

TRACE PERFORMANCE TESTING APPROACH. Overview. Approach. Flow. Attributes

The Revival of Direct Attached Storage for Oracle Databases

Low-cost BYO Mass Storage Project. James Cizek Unix Systems Manager Academic Computing and Networking Services

EMC DATA DOMAIN OVERVIEW. Copyright 2011 EMC Corporation. All rights reserved.

Using NetApp Unified Connect to Create a Converged Data Center

EonStor DS 3000 Series

Matthew Parker Chief Technologist Dimensional DBA, LLC

QoS-Aware Storage Virtualization for Cloud File Systems. Christoph Kleineweber (Speaker) Alexander Reinefeld Thorsten Schütt. Zuse Institute Berlin

Expert Reference Series of White Papers. Visions of My Datacenter Virtualized

Amazon Cloud Storage Options

Systemverwaltung 2009 AIX / LPAR

IT of SPIM Data Storage and Compression. EMBO Course - August 27th! Jeff Oegema, Peter Steinbach, Oscar Gonzalez

Oracle Database Deployments with EMC CLARiiON AX4 Storage Systems

Cloud Panel Service Evaluation Scenarios

IOmark- VDI. Nimbus Data Gemini Test Report: VDI a Test Report Date: 6, September

Agenda. HPC Software Stack. HPC Post-Processing Visualization. Case Study National Scientific Center. European HPC Benchmark Center Montpellier PSSC

EonStor DS 3000 Series

Virtual server management: Top tips on managing storage in virtual server environments

Seriously: Tape Only Backup Systems are Dead, Dead, Dead!

Transcription:

Server Consolidation Examples (So Easy, a Cave Man Could Do It) Developed by: Chris Churchey Principle ATS Group, LLC & Galileo Performance Explorer 1

Methodology 1. Define hosts/servers for consolidation analysis 2. Define time-frame (Baseline) to use, related to business peaks: - Avg. 24x7 - Peak month Avg.(default) - Peak month Peaks Avg. - Avg. M-F 8am-6pm - Peak M-Tu/June-July - Single Peak of year 3. Determine CPU, Memory, Network and Disk usage for (2) above - Normalize CPU usage to IBM rperfs if Power servers, else normalize to an industry standard benchmark rating (e.g. SpecInt, SpecInt_Rate, RPE) - Consider details: Network/HBA ports, Space/Rack/CoLo, 1-core per 150K network-packets/s 4. Define Growth projection. Business provides/derive from past Trend - If unknown, I use (Baseline+25%)+15% year-to-year over 3-5 years 5. Recommend Solutions 2

Example 1 1. Define hosts/servers for consolidation analysis 129 hosts (Power5-Power7, dedicated network & hba adapters) 8 Dev (0 application / 8 Database) 50 Test (30 application / 20 Database) 71 Stage (44 application / 27 Database) Total (74 application / 55 Database) 2. Define time-frame (Baseline) Used Peak Month Average for 2014: December 1-December 31 3

Example 1: 2. Define time-frame find Peak month Created a Virtual Frame w/galileo for the 129 hosts and viewed CPU for 2014 4

Example 1: 2. Define time-frame determine Avg. Zoomed into Peak month Dec. 2014 and determine Baseline Avg. 5

Example 1 1. Define hosts/servers for consolidation analysis 129 hosts (Power5-Power7, dedicated network & hba adapters) 8 Dev (0 application / 8 Database) 50 Test (30 application / 20 Database) 71 Stage (44 application / 27 Database) Total (74 application / 55 Database) 2. Define time-frame (Baseline) Used Peak Month Average for 2014: December 1-December 31 3. Determine CPU, Memory, Network and Disk Usage 6

Example 1: 3. Determine CPU Normalized Baseline 129 hosts CPU normalized rperf Baseline Avg. usage: 690 7

Example 1: 3. Determine Memory Used 129 hosts Memory Used: 1.2TB 8

Example 1: 3. Determine Memory + Pgsp Used 129 hosts Memory Pgsp Used: 940GB Memory Baseline is Used + Pgsp Used: 1.2TB + 940GB = 2.14TB 9

Example 1: 3. Determine Network Throughput/s 129 hosts Network Throughput Baseline: 370MB/s (use Peak) 10

Example 1: 3. Determine Network Packets/s 129 hosts Network Packets Baseline: 190K/s (use Peak) These hosts are moving from Physical to Virtual adapters, so Add 2 cores to the final Solution 11

Example 1: 3. Determine Disk Throughput/s 129 hosts Disk Throughput Baseline: 1.7GB/s (use Peak) 12

Example 1: 3. Determine Disk Transfer/s 129 hosts Disk Transfer Baseline: 28,000/s (use Peak) 13

Example 1: 3. Determine Tape No Tape drives. If Tape exists, you need to account for the Tape Adapters and Throughput. Galileo collects and Trends Tape Usage for AIX hosts 14

Example 1 1. Define hosts/servers for consolidation analysis 129 hosts (Power5-Power7, dedicated network & hba adapters) 8 Dev (0 application / 8 Database) 50 Test (30 application / 20 Database) 71 Stage (44 application / 27 Database) Total (74 application / 55 Database) 2. Define time-frame (Baseline) Used Peak Month Average for 2014: December 1-December 31 3. Determine CPU, Memory, Network and Disk Usage 4. Define Growth Projection 15

Example 1: 4. Define Growth Projection Management decided (Baseline+25%)+5% year-to-year over 4 years Projected Capacity Needs based on above: CPU rperfs (690+173)+43+45+48+50 = 1,049 rperfs Memory (2.14TB+. 3.25TB Network (370MB/s+. 562MB/s Throughput Network (190K/s+ 288K/s Packets Disk (1.7GB/s+.. 2.6GB/s Throughput Disk (28K/s+. 42.5K/s IOps Tape none 16

Example 1: 5. Recommend Solution CPU rperfs 1,049 rperfs - 3-4 S824 s (each 421 rperfs) depending upon if all 129 Hosts need to be available if a Server fails - 2 E870 s (856-1350 rperfs) Memory 3.25TB - 1.5-2TB on each S824-2-3.5TB on each E870 depending upon if one needs to support all 129 Hosts if a Server fails Network 562MB/s Throughput - Prefer 10Gb adapters, determined by # of VIO s and if redundancy within VIO is desired *Optionally several 1Gb adapters/ports also determined on the above *10Gb = 850-900MB/s per Port vs. 1Gb = 80-100MB/s per Port Network 288K/s Packets Disk 2.6GB/s Throughput - 8-16Gb adapters, determined by # of VIO s and if redundancy within VIO is desired *8Gb = 800-850MB/s per Port Disk 42.5K/s IOps 17

Example 2: 272 Power5-7 Servers (530+ LPARs) Mostly dedicated servers - Totaled installed 20,879 rperfs capacity, 9TB+ memory, 1,368 FC ports and 3,194 Network ports - They were told to buy 50+ S824 s to have equiv. capacity * Installed doesn t mean it is used or necessary! * Why you do a Server Consolidation assessment easily with Galileo PE After analysis, looking at Time-overlap usage of CPU, Memory, Network, Disk and Tape: - They needed 28 S824 s * Will implement several LPM groupings based on separation requirements * Will 100% virtualize using VIO, SEA, NPIV, MSPP and reduce the Port/Cable counts to 10-15% of what it was They are evaluating E870 for further reduction 18

Questions? We can help analyze and implement. Contact us! Online: www.galileosuite.com Email: sales@galileosuite.com Phone: +1-484-320-4302 19