© Copyright 2011 | First Data Corporation Instrumentation Strategies For The Cloud 01 April 2011 What you need to tell your execs David Halbig.

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Presentation transcript:

© Copyright 2011 | First Data Corporation Instrumentation Strategies For The Cloud 01 April 2011 What you need to tell your execs David Halbig

2 | © Copyright 2011 | First Data Corporation Agenda What is it and what’s the big deal? Where are we today? Why does performance need special attention? What you gonna do about it? Q&A

3 | © Copyright 2011 | First Data Corporation What Is It and What’s the Big Deal? Adams, Scott; “Cloud Consultant”, Licensed from on 30Mar2011www.thedilbertstore.com

4 | © Copyright 2011 | First Data Corporation What Is it? On-demand self-service Broad network access Resource pooling Rapid elasticity Measured Service Source: Nat’l Institute of Science and Technology, accessed on 30Mar2011http://csrc.nist.gov/publications/drafts/ /Draft-SP _cloud-definition.pdf

5 | © Copyright 2011 | First Data Corporation What’s the Big Deal? KAL, “Blame Game”, accessed at: magazine/2011/01/15/CN/ _CNA400.jpg on 15Jan2011http:// magazine/2011/01/15/CN/ _CNA400.jpg Figure 1: Before the Cloud: Outsider’s view of IT Negotiations

6 | © Copyright 2011 | First Data Corporation What’s the Big Deal? Figure 3: “Power of the Cloud”,,BusinessWeek on 07Mar2011www.businessweek.com

7 | © Copyright 2011 | First Data Corporation What’s the Big Deal? Potentially much lower TCO Potentially easy access to the ‘ilities’ (scalability, manageability, share ability) Absolutely much lower hurdle to prototyping Potentially much faster time to market

8 | © Copyright 2011 | First Data Corporation Where Are We Today? The Gartner Group, The Gartner Hype Cycle, accessed from on 30Mar2011http://en.wikipedia.org/wiki/File:Gartner_Hype_Cycle.svg Figure 3: The Gartner Hype Cycle

9 | © Copyright 2011 | First Data Corporation Why Does Performance Need Special Attention? On-demand self-service Interference effects Geographic dispersion Broad network access Resource pooling Interference effects Geographic dispersion Heterogeneous machine architectures Rapid elasticity Measured Service

10 | © Copyright 2011 | First Data Corporation Geographic Dispersion 186,000 Miles Per Second It’s not just a good idea It’s the law

11 | © Copyright 2011 | First Data Corporation Geographic Dispersion App Server DB Server Time Same Data center – 2 ms latency per SQL call = 10 * 2ms = 20ms

12 | © Copyright 2011 | First Data Corporation Geographic Dispersion App Server DB Server Time Remote Data center – 40 ms latency per SQL call = 10 * 40ms = 400ms

13 | © Copyright 2011 | First Data Corporation Interference Effects – I/O SAN Server Hardware Virtualization Layer I’m OK HELP!!!

14 | © Copyright 2011 | First Data Corporation Interference Effects - CPU Source: VMware ESX 3: Ready Time Observations - Feb 2004

15 | © Copyright 2011 | First Data Corporation The Cloud Does Not Fix STUPID BUILDs promoted with test databases still imbedded Undocumented off-campus transactions/special cases Un-benchmarked / un-measured BUILDs, particularly in high-volume environments

16 | © Copyright 2011 | First Data Corporation What Are You Gonna DO About It? System, Host & Process Level Monitoring Platform “Deep Dive” Diagnostic Monitoring Business Transaction Management Desktop Tier Web Server Tier App Server Tier DBase Server Tier Apache IHS Linux /VMware WAS Weblogic Tomcat JBoss Oracle DB2 SQL Server Solaris /Zones AIX /LPAR Windows /VMware

17 | © Copyright 2011 | First Data Corporation What You Gonna DO About It? Performance Monitoring Products Desktop Tier Web Server Tier App Server Tier System, Host & Process Level Monitoring Platform “Deep Dive” Diagnostic Monitoring Business Transaction Management CA- Introscope DBase Server Tier AWR Spotlight Grid Perfmon UpTime DTRACE UpTime perfPMR UpTime VIC ESXPlot BTM UpTime VIC ESXPlot

18 | © Copyright 2011 | First Data Corporation System, Host, and Process Level Monitoring Continuous Monitors Windows Unix (and dialects) – SAR & I/O Stat Specialized Use Monitors Network Windows – WireShark Solaris – Snoop Linux – WireShark AIX – Iptrace OS Windows – Perfmon/SysInternals Solaris – DTRACE AIX – PerfPMR VMware – ESXtop/ESXplot

19 | © Copyright 2011 | First Data Corporation Continuous Monitoring Wikipedia: Perpetuum Mobile of Villard de Honnecourt (about 1230)Villard de Honnecourt

20 | © Copyright 2011 | First Data Corporation Intermittent Monitoring In Case of Fire Break Glass

21 | © Copyright 2011 | First Data Corporation Middleware Monitoring Continuous Monitors Database SQL Server - Perfmon (maybe) Oracle – Automated Workload Repository (AWR) JVMs (Tomcat/Jboss) CA-Wily Compuware – Agent Vantange DynaTrace

22 | © Copyright 2011 | First Data Corporation There Are No Standards for BTM Capabilities Figure 4: BTM-capable Ham Sandwich

23 | © Copyright 2011 | First Data Corporation BTM High-Level Architecture (Typical multi-tier distributed environment) Management Server & Web GUI User request Web Server App Server (.Net/J2EE) MSG BUS App Server DB Server Observed Tier Transaction profiles collected Transaction topology map DTE = Dynamic Tier Extension Agent DTE Agent DTE Agent DTE Agent DTE

24 | © Copyright 2011 | First Data Corporation Dave’s Sure-Fire List of BTM Capabilities Horizontal view of aggregate and single transactions across all tiers of interest Resource consumption information from each monitored tier Auto-discovery of transaction path Capture path contribution of non-monitored tiers Continuous operation at volume Low transaction path overhead

25 | © Copyright 2011 | First Data Corporation Progress!! KAL, “Blame Game”, accessed at: magazine/2011/01/15/CN/ _CNA400.jpg on 15Jan2011http:// magazine/2011/01/15/CN/ _CNA400.jpg Figure 1: With the Cloud: Outsider’s Reality of IT Negotiations