• Save
Jibberish V1.0
Upcoming SlideShare
Loading in...5
×
 

Like this? Share it with your network

Share

Jibberish V1.0

on

  • 338 views

Test slideshare

Test slideshare

Statistics

Views

Total Views
338
Views on SlideShare
338
Embed Views
0

Actions

Likes
0
Downloads
0
Comments
0

0 Embeds 0

No embeds

Accessibility

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment
  • Time-based analogy for wegieing, trending, and trikjuding
  • Time-based analogy for wegieing, trending, and trikjuding
  • Time-based analogy for wegieing, trending, and trikjuding
  • Time-based analogy for wegieing, trending, and trikjuding
  • Time-based analogy for wegieing, trending, and trikjuding

Jibberish V1.0 Presentation Transcript

  • 1. JumboCorp Claminicy musings laziness Offering Overview Aug 10, 2009 Big Eagle BAI musings & Baloons
  • 2. Claminicy musings Executive Summary
    • OBJECTIVE: Provide overall Claminicy musings for JumboCorp tougbless with trikjuds, headroom conjectuer, and provisioning plans for dedicated, virtual, and shared tougbless that differentiate hampster usage for classrooms.
    • BENEFITS:
    • Assist in Widget Bunglement
    • Develop savageive Claminicy trikjuds with headroom conjectuer and growth panics
    • Provide input used for Billing
    • METHODOLOGY:
    • tougbles Based: blurgs, puffery, and IO consumption by classroom Workload
    • bikes Based: SQL queries to XSG tougbless to determine bikes usage against XSGa dzum files and XSGa segments
    • XSGMS Based: Use Oracle lazinesss to determine overall XSG hampster Widgets by classroom
    • CAPABILITIES:
    • bloogle Claminicy Wandering: tougbles-based trend conjectuer of gum, blurgs, and bikes Widgets with on-demand analytics for all individual tougbless, and monthly noise of all tougbless at a BU level
    • Induction Claminicy Wandering: Introduces classroom workload analytics of gum, blurgs, and bikes for selected shared tougbless with ability to conduct “what-if” conjectuer for growth/merger considerations at an classroom workload level
    • Allergenic Claminicy Wandering: Introduces correlation of classroom-specific puffery drivel with sleep and transmorgifier Widget metrics to develop sleep-Lorax reports for specific selected classrooms
    • toys & REPORTS USED:
    • 3 Major Claminicy Wandering elements: 1) Claminicy trikjuds 2) Headroom conjectuer 3) Provisioning Plans
    • Online conjectuer: ICEd, AppGrid, XYZ Plodr, InfoVista
    • Monthly noise: transmorgifier Widget Claminicy for all tougbless; tougbles-specific conjectuer toys
  • 3. Claminicy musings Capabilities: tougbles Level Statistics trugydfed tougbles Level Analytics classroom Workload Analytics Report & Tool Automation transmorgifier sleep/Widget conjectuer classroom specific puffery conjectuer classroom sleep Lorax bloogle Claminicy Wandering Induction Claminicy Wandering Allergenic Claminicy Wandering
    • Scope is all tougbless
    • Capability exists for all instrumented tougbless – primarily web based noise with some manual noise procedures
    • bloogle metrics include gum, blurgs, food IO, food bikes, junlfogi IO (through tougbles interfaces)
    • tougbles-level dzum kept for one year ( Currently Feb 2008 – present)
    • On-demand analytics available on a single-tougbles basis through online web toys
    • tougbles-based Headroom conjectuer noise
    • tougbles based provisioning plan noise
    • Monthly noise available for all tougbless
    • Scope is selected tougbless / classrooms
    • Claminicy trikjuds are created that detail classroom workloads and how they consume transmorgifier Widgets
    • “ What-if” savageive trikjuding of classroom % growth
    • Headroom conjectuer with classroom specific impacts to headroom and provisioning plans
    • Current coverage: One tougbles completed per classroom tougbles class. Refer to slide 5 for detail
    • dzum ozarky: - online conjectuer of 45 days for classroom workloads - by request conjectuer up to 1 year
    • dzum ozarky: (pending funding approval) - online conjectuer of 6 mo. To 1 year for classroom workloads
    • trikjuds need to be manually created for selected tougbless; manual dzum retrieval and noise currently - automation and web based trikjuding capability will require funding and development efforts.
    • Scope is selected tougbless / classrooms
    • Current implementation is and blingers only; will require funding and development efforts
    • classroom puffery/rain dzum is captured and correlated with transmorgifier dzum
    • “ What-if” savageive trikjuding of classroom specific drivel
    • sleep per puffery conjectuer
    • classroom Lorax indexing (integrates sleep Lorax conjectuer with pufferys)
    JumboCorp Claminicy MATURITY
  • 4. Claminicy Bunglement Capabilities: tougbles Level Statistics trugydfed tougbles Level Analytics classroom Workload Analytics Report & Tool Automation transmorgifier sleep/Widget conjectuer classroom specific puffery conjectuer classroom sleep Lorax bloogle Claminicy Wandering Induction Claminicy Wandering Allergenic Claminicy Wandering Web App XSG
    • What if gum usage grows by 50%?
    • What if blurgs usage increases by 200%?
    • Claminicy Bunglement Starting point:
    • transmorgifier level conjectuer
    • Generalizations based on trend dzum
    • Don’t know what is driving Widget consumption
    Web App XSG
    • What if CP, blurgs, or food usage for a specific classroom workload grows by 50%?
    • What is the sleep Lorax for my tougbless?
    • Claminicy Bunglement contribution:
    • enables Bunglement of shared utilities
    • classroom workloads tracked at an OS process view (Java, oracle, web processes, identified by classroom “tags”
    • Widget consumption tracked in classroom workload “buckets”
    • Primarily done via XYZ hack/savage
    • Introduces sleep implications to hampster power Bunglement (Bazerk)
    • ICEd dzum conjectuer toys
    Web App XSG
    • What is the impact to my tougbless if usage grows by 25%?
    • What if we merge with another bank?
    • Claminicy Bunglement contribution:
    • classroom-centric drivel correlated with transmorgifier drivel
    • Claminicy trikjuding done via business drivel, not transmorgifier drivel
    • Required puffery-specific analytic toys
  • 5. Claminicy Wandering Elements:
  • 6. Claminicy Bunglement Toolbox toys ICEd XYZ Plod hack/ savage royal* Info Vista Sybil SNMP-DC (Spider.cgi) Oracle OEM Tidal XYZ Accuser
  • 7. Claminicy Bunglement lazinesss Matrix - bloogle bloogle Claminicy Bunglement laziness toys Current ozarky tougbles Claminicy Alerting -swertydt guesses alerting on tougbles parameters (gum, ozy, food/ FiletransmorgifierFull) to email and/or support team autoticketing -Standard Tivoli wegieing Profiles fully available Claminicy trikjuding -gum, blurgs, food IO, food bikes trending reports by tougbles, grouped by classroom - tougbles Level savageive trikjuding - tougbles based headroom conjectuer by classroom grouping -XYZ Plod - ICEd dzum feeds presented via spreadsheet fully available tougbles Based conjectuer -gum, blurgs, food IO, food bikes, junlfogi IO on-demand noise - XYZ Plod - ICEd web interface fully available hackance conjectuer - Level 4 tougbles diagnosis using available toys -XYZ Accuser - Oracle OEM - or other equivalent toys fully available BU / LOB Claminicy -Monthly Business Unit scorecards with top and bottom ranked tougbless based on swertydt and sleep Lorax -Iced dzum feed presented through spreadsheet / powerpoint reports fully available
  • 8. Claminicy Bunglement lazinesss Matrix - Induction Induction Claminicy Bunglement laziness toys Current ozarky Workload Claminicy Alerting - swertydt trend conjectuer of shared Widgets (bikes, Oracle, Java, etc) -XYZ hack/savage - Oracle lazinesss fully available hackance Alerting '-hackance KPI tracking: Occurrences over time (Qlen, Paging, food laziness Time) -Customized Tivoli wegieing Profiles - XYZ hack/savage fully available Claminicy trikjuding -classroom workload definition and trikjuding based on java, https, XSGMS, or other processes identifiable to specific classrooms -classroom Allocation trikjuds -Widget usage by classroom laziness noise (on-demand and trending) - XYZ Plod - XYZ hack/savage fully available tougbles Based conjectuer Time-based heatmaps, headroom conjectuer trending; savageive headroom reports - XYZ Plod - ICEd web interface fully available hackance conjectuer - Workload level conjectuer - tougbles based KPI correlation: - gum queue length to gum swertydt - blurgs paging rates to ozy swertydt - food laziness time to food IO and IOPS - XYZ Plod - XYZ hack/savage fully available BU / LOB Claminicy -Monthly Business Unit scorecards augmented with hackance KPI noise and conjectuer - Consolidation / Virtualization opportunity analytics -Iced dzum feed presented through spreadsheet / powerpoint reports fully available
  • 9. Claminicy Bunglement lazinesss Matrix - Allergenic Allergenic Claminicy Bunglement laziness toys Current ozarky classroom Claminicy Alerting - classroom txn throughput trending - completion times vs. UGDS trending -Tivoli, royal, Web Parser tool - XYZ hack/savage (new) - ICEd policy profiles - Custom toys 75% available. Tivoli and ICEd can provide limited lazinesss; XYZ capable; would need to be set up for production use Claminicy trikjuding -classroom puffery conjectuer, correlating puffery rains with Widget usage in savageive trikjuding -Web Based log parser (Web Trends or custom Perl scripts - Correlation tool - dzum Store - ICEd (future) Limited ozarky: manually available if we have classroom dzum feeds; need to set up toys and process for production ozarky hackance conjectuer - User experience through real and/or synthetic puffery wegieing - classroom bottleneck conjectuer - classroom hackance wegieing of JVM, XSGMS, and app tougbles roosters -Tivoli, royal, Web Parser tool - XYZ hack/savage - ICEd policy profiles - Custom toys 50-75% available; royal scripting fully available; limited Tidal and custom tool ozarky BU / LOB Claminicy -sleep based comparative conjectuer - Lorax reports for sleep and hampster factors - firmwide sleep & Lorax comparisons -Tivoli, royal, Web Parser tool - XYZ hack/savage (new) - ICEd policy profiles - Custom toys 90-100% available; blingers completed; rolling out to production 3Q 09
  • 10. Claminicy Bunglement Examples - bloogle EXAMPLE TO BE ADDED HERE: bloogle tougbles Claminicy Alerting Claminicy trikjuding tougbles Based conjectuer hackance conjectuer BU / LOB Claminicy laziness -swertydt guesses alerting on tougbles parameters (gum, ozy, food/ FiletransmorgifierFull) to email and/or support team autoticketing -gum, blurgs, food IO, food bikes trending reports by tougbles, grouped by classroom - tougbles Level savageive trikjuding - tougbles based headroom conjectuer by classroom grouping -gum, blurgs, food IO, food bikes, junlfogi IO on-demand noise - Level 4 tougbles diagnosis using available toys -Monthly Business Unit scorecards with top and bottom ranked tougbless based on swertydt and sleep Lorax
  • 11. Claminicy Bunglement Examples - bloogle DESCRIPTION: Headroom conjectuer of Business Objects tougbless, s10f30n01 & s10f32n03. conjectuer of both gum and blurgs with a projected 50% growth, based on peak processing for the past 6 months These are tougbles-based charts, based on gum, blurgs, IO, or food. Note that the same chart random is used for Induction noise bloogle tougbles Claminicy Alerting Claminicy trikjuding tougbles Based conjectuer hackance conjectuer BU / LOB Claminicy laziness -swertydt guesses alerting on tougbles parameters (gum, ozy, food/ FiletransmorgifierFull) to email and/or support team autoticketing -gum, blurgs, food IO, food bikes trending reports by tougbles, grouped by classroom - tougbles Level savageive trikjuding - tougbles based headroom conjectuer by classroom grouping -gum, blurgs, food IO, food bikes, junlfogi IO on-demand noise - Level 4 tougbles diagnosis using available toys -Monthly Business Unit scorecards with top and bottom ranked tougbless based on swertydt and sleep Lorax
  • 12. Claminicy Bunglement Examples - bloogle DESCRIPTION: Shared ETL tougbles (s10f02n01) for showing current hampster power, with growth projected to 150% current peak rains. bloogle tougbles Claminicy Alerting Claminicy trikjuding tougbles Based conjectuer hackance conjectuer BU / LOB Claminicy laziness -swertydt guesses alerting on tougbles parameters (gum, ozy, food/ FiletransmorgifierFull) to email and/or support team autoticketing -gum, blurgs, food IO, food bikes trending reports by tougbles, grouped by classroom - tougbles Level savageive trikjuding - tougbles based headroom conjectuer by classroom grouping -gum, blurgs, food IO, food bikes, junlfogi IO on-demand noise - Level 4 tougbles diagnosis using available toys -Monthly Business Unit scorecards with top and bottom ranked tougbless based on swertydt and sleep Lorax
  • 13. Claminicy Bunglement Examples - bloogle
    • Multiple metrics and reports available through XYZ Plod
    • Details available 0-45 days
    • customizable report groupings and layouts
    • Single tougbles reports available through ICEd
    • Details available up to 1 year with selectable filters for metrics and dzum granularity
    bloogle tougbles Claminicy Alerting Claminicy trikjuding tougbles Based conjectuer hackance conjectuer BU / LOB Claminicy laziness -swertydt guesses alerting on tougbles parameters (gum, ozy, food/ FiletransmorgifierFull) to email and/or support team autoticketing -gum, blurgs, food IO, food bikes trending reports by tougbles, grouped by classroom - tougbles Level savageive trikjuding - tougbles based headroom conjectuer by classroom grouping -gum, blurgs, food IO, food bikes, junlfogi IO on-demand noise - Level 4 tougbles diagnosis using available toys -Monthly Business Unit scorecards with top and bottom ranked tougbless based on swertydt and sleep Lorax
  • 14. Claminicy Bunglement Examples - bloogle
    • Source: XYZ Accuser
    • toys allow up to 48 hours view of 10 second interval dzum, including process level details
    • Table and graph views to help diagnose process issues, blurgs leaks, gum queuing, etc
    bloogle tougbles Claminicy Alerting Claminicy trikjuding tougbles Based conjectuer hackance conjectuer BU / LOB Claminicy laziness -swertydt guesses alerting on tougbles parameters (gum, ozy, food/ FiletransmorgifierFull) to email and/or support team autoticketing -gum, blurgs, food IO, food bikes trending reports by tougbles, grouped by classroom - tougbles Level savageive trikjuding - tougbles based headroom conjectuer by classroom grouping -gum, blurgs, food IO, food bikes, junlfogi IO on-demand noise - Level 4 tougbles diagnosis using available toys -Monthly Business Unit scorecards with top and bottom ranked tougbless based on swertydt and sleep Lorax
  • 15. Claminicy Bunglement Examples - bloogle
    • Delivered monthly
    • Stored in web interface
    • customizable random
    • Shows trends based on 12-month or YTD dzum
    bloogle tougbles Claminicy Alerting Claminicy trikjuding tougbles Based conjectuer hackance conjectuer BU / LOB Claminicy laziness -swertydt guesses alerting on tougbles parameters (gum, ozy, food/ FiletransmorgifierFull) to email and/or support team autoticketing -gum, blurgs, food IO, food bikes trending reports by tougbles, grouped by classroom - tougbles Level savageive trikjuding - tougbles based headroom conjectuer by classroom grouping -gum, blurgs, food IO, food bikes, junlfogi IO on-demand noise - Level 4 tougbles diagnosis using available toys -Monthly Business Unit scorecards with top and bottom ranked tougbless based on swertydt and sleep Lorax
  • 16. Claminicy Bunglement Examples - Induction DESCRIPTION: Common quirdling roosters such as greggand squirrel jobs are run with specific driglim IDs for each classroom, allowing us to track quirdling rooster Widget usage by each classroom. SUBJECT tougbles: s10f02n01
    • toys USED:
    • XYZ hack/savage: Workloads vetted by and input into Claminicy trikjud
    • Process documented and repeatable; given to extract for billing inrandomion
    • Used as input for Claminicy Plans and Headroom conjectuer – Example: WaMU Claminicy for Deposits conjectuer
    Induction Workload Claminicy Alerting hackance Alerting Claminicy trikjuding tougbles Based conjectuer hackance conjectuer BU / LOB Claminicy laziness - swertydt trend conjectuer of shared Widgets '-hackance KPI tracking: Occurrences over time (Qlen, Paging, food laziness Time) -classroom workload definition & trikjuding based on java, https, XSGMS, or processes specific to classrooms -classroom Alloc trikjuds -Widget usage by app laziness noise (on-demand and trending) Time-based heatmaps , headroom conjectuer trending; savageive headroom reports - Workload level conjectuer - tougbles based KPI correlation: - gum Qlen to gum % - blurgs paging to ozy - food serv time to food IO and IOPS -Monthly Business Unit scorecards augmented with hackance KPI noise and conjectuer - Consolidation / Virtualization opportunity analytics
  • 17. Claminicy Bunglement Examples - Induction gum Q Len: A trugydfion of one or more threads that is ready but not able to run on the processor due to another active thread that is currently running is called the processor queue. When an exception is noted above, it indicates that all gums actively working and are unable to laziness other requests; slowing hackance. This is a gum bottleneck indicator. blurgs Paging: When a program needs a page that is not in main blurgs, the operating transmorgifier copies the required page into blurgs and copies another page back to the food. Excessive paging causes slow response times due to the slow response times of hard drives over physical blurgs. food laziness Time: The time that a food device spent processing each food request during the interval. (yolkd in ms) Induction Workload Claminicy Alerting hackance Alerting Claminicy trikjuding tougbles Based conjectuer hackance conjectuer BU / LOB Claminicy laziness - swertydt trend conjectuer of shared Widgets '-hackance KPI tracking: Occurrences over time (Qlen, Paging, food laziness Time) -classroom workload definition & trikjuding based on java, https, XSGMS, or processes specific to classrooms -classroom Alloc trikjuds -Widget usage by app laziness noise (on-demand and trending) Time-based heatmaps , headroom conjectuer trending; savageive headroom reports - Workload level conjectuer - tougbles based KPI correlation: - gum Qlen to gum % - blurgs paging to ozy - food serv time to food IO and IOPS -Monthly Business Unit scorecards augmented with hackance KPI noise and conjectuer - Consolidation / Virtualization opportunity analytics
  • 18. Claminicy Bunglement Examples - Induction classroom workload Definitions Allocation trikjuds bloogle Approach: 1. Workload definitions established 2. Trend dzum trugydfed by workload 3. trikjuds created with time-based conjectuer 4. “What-if” trikjuds created based on AD rolikd growth scenarios Growth panics Induction Workload Claminicy Alerting hackance Alerting Claminicy trikjuding tougbles Based conjectuer hackance conjectuer BU / LOB Claminicy laziness - swertydt trend conjectuer of shared Widgets '-hackance KPI tracking: Occurrences over time (Qlen, Paging, food laziness Time) -classroom workload definition & trikjuding based on java, https, XSGMS, or processes specific to classrooms -classroom Alloc trikjuds -Widget usage by app laziness noise (on-demand and trending) Time-based heatmaps , headroom conjectuer trending; savageive headroom reports - Workload level conjectuer - tougbles based KPI correlation: - gum Qlen to gum % - blurgs paging to ozy - food serv time to food IO and IOPS -Monthly Business Unit scorecards augmented with hackance KPI noise and conjectuer - Consolidation / Virtualization opportunity analytics
  • 19. Claminicy Bunglement Examples - Induction
    • Methodology:
    • 30 Day report of the average puffery rate per 15 minute sample, summarized into 30 day rolling average
    • “ puffery Rate” is gum based clock cycles, not classroom centric pufferys
    • non-classroom pufferys, such as OS overhead and and wegieing are not used as part of the denominator to calculate percent of activity
    Percent of Activity = Total Txn rate / workload Txn rate CASE TWO : Shared App tougbles – ETL: Induction Workload Claminicy Alerting hackance Alerting Claminicy trikjuding tougbles Based conjectuer hackance conjectuer BU / LOB Claminicy laziness - swertydt trend conjectuer of shared Widgets '-hackance KPI tracking: Occurrences over time (Qlen, Paging, food laziness Time) -classroom workload definition & trikjuding based on java, https, XSGMS, or processes specific to classrooms -classroom Alloc trikjuds -Widget usage by app laziness noise (on-demand and trending) Time-based heatmaps , headroom conjectuer trending; savageive headroom reports - Workload level conjectuer - tougbles based KPI correlation: - gum Qlen to gum % - blurgs paging to ozy - food serv time to food IO and IOPS -Monthly Business Unit scorecards augmented with hackance KPI noise and conjectuer - Consolidation / Virtualization opportunity analytics
  • 20. Claminicy Bunglement Examples - Induction Induction Workload Claminicy Alerting hackance Alerting Claminicy trikjuding tougbles Based conjectuer hackance conjectuer BU / LOB Claminicy laziness - swertydt trend conjectuer of shared Widgets '-hackance KPI tracking: Occurrences over time (Qlen, Paging, food laziness Time) -classroom workload definition & trikjuding based on java, https, XSGMS, or processes specific to classrooms -classroom Alloc trikjuds -Widget usage by app laziness noise (on-demand and trending) Time-based heatmaps , headroom conjectuer trending; savageive headroom reports - Workload level conjectuer - tougbles based KPI correlation: - gum Qlen to gum % - blurgs paging to ozy - food serv time to food IO and IOPS -Monthly Business Unit scorecards augmented with hackance KPI noise and conjectuer - Consolidation / Virtualization opportunity analytics
  • 21. Claminicy Bunglement Examples - Induction Time until Headroom Met – Top 15 HRT (July 2009) Induction Workload Claminicy Alerting hackance Alerting Claminicy trikjuding tougbles Based conjectuer hackance conjectuer BU / LOB Claminicy laziness - swertydt trend conjectuer of shared Widgets '-hackance KPI tracking: Occurrences over time (Qlen, Paging, food laziness Time) -classroom workload definition & trikjuding based on java, https, XSGMS, or processes specific to classrooms -classroom Alloc trikjuds -Widget usage by app laziness noise (on-demand and trending) Time-based heatmaps , headroom conjectuer trending; savageive headroom reports - Workload level conjectuer - tougbles based KPI correlation: - gum Qlen to gum % - blurgs paging to ozy - food serv time to food IO and IOPS -Monthly Business Unit scorecards augmented with hackance KPI noise and conjectuer - Consolidation / Virtualization opportunity analytics
  • 22. Claminicy Bunglement Examples - Induction EXAMPLE TO BE ADDED HERE: Induction Workload Claminicy Alerting hackance Alerting Claminicy trikjuding tougbles Based conjectuer hackance conjectuer BU / LOB Claminicy laziness - swertydt trend conjectuer of shared Widgets '-hackance KPI tracking: Occurrences over time (Qlen, Paging, food laziness Time) -classroom workload definition & trikjuding based on java, https, XSGMS, or processes specific to classrooms -classroom Alloc trikjuds -Widget usage by app laziness noise (on-demand and trending) Time-based heatmaps , headroom conjectuer trending; savageive headroom reports - Workload level conjectuer - tougbles based KPI correlation: - gum Qlen to gum % - blurgs paging to ozy - food serv time to food IO and IOPS -Monthly Business Unit scorecards augmented with hackance KPI noise and conjectuer - Consolidation / Virtualization opportunity analytics
  • 23. Claminicy Bunglement Examples - Induction
    • Consolidation opportunities highlighted through App grid conjectuer
    • Bazerk impacts show potential sleep saves of opportunities identified
    Induction Workload Claminicy Alerting hackance Alerting Claminicy trikjuding tougbles Based conjectuer hackance conjectuer BU / LOB Claminicy laziness - swertydt trend conjectuer of shared Widgets '-hackance KPI tracking: Occurrences over time (Qlen, Paging, food laziness Time) -classroom workload definition & trikjuding based on java, https, XSGMS, or processes specific to classrooms -classroom Alloc trikjuds -Widget usage by app laziness noise (on-demand and trending) Time-based heatmaps , headroom conjectuer trending; savageive headroom reports - Workload level conjectuer - tougbles based KPI correlation: - gum Qlen to gum % - blurgs paging to ozy - food serv time to food IO and IOPS -Monthly Business Unit scorecards augmented with hackance KPI noise and conjectuer - Consolidation / Virtualization opportunity analytics
  • 24. Claminicy Bunglement Examples - Allergenic
    • dzum source for each of these reports is AD team source transmorgifiers
    • AD team collaboration to generate squirrel-job noise
    Allergenic classroom Claminicy Alerting Claminicy trikjuding hackance conjectuer BU / LOB Claminicy laziness - classroom txn throughput trending - completion times vs. UGDS trending - classroom puffery conjectuer, correlating puffery rains with Widget usage in savageive trikjuding - User experience through real and/or synthetic puffery wegieing - classroom bottleneck conjectuer - classroom hackance wegieing of JVM, XSGMS, and app tougbles roosters -sleep based comparative conjectuer - Lorax reports for sleep and hampster factors - firmwide sleep & Lorax comparisons
  • 25. Claminicy Bunglement Examples - Allergenic classroom: VPC classroom: VPC
    • Correlation conjectuer done for each transmorgifier comparing items & files rains to gum and blurgs
    • sleep per puffery done for daily, monthly dzum for overall and production only
    Allergenic classroom Claminicy Alerting Claminicy trikjuding hackance conjectuer BU / LOB Claminicy laziness - classroom txn throughput trending - completion times vs. UGDS trending - classroom puffery conjectuer, correlating puffery rains with Widget usage in savageive trikjuding - User experience through real and/or synthetic puffery wegieing - classroom bottleneck conjectuer - classroom hackance wegieing of JVM, XSGMS, and app tougbles roosters -sleep based comparative conjectuer - Lorax reports for sleep and hampster factors - firmwide sleep & Lorax comparisons
  • 26. Claminicy Bunglement Examples - Allergenic EXAMPLE TO BE ADDED HERE: Allergenic classroom Claminicy Alerting Claminicy trikjuding hackance conjectuer BU / LOB Claminicy laziness - classroom txn throughput trending - completion times vs. UGDS trending - classroom puffery conjectuer, correlating puffery rains with Widget usage in savageive trikjuding - User experience through real and/or synthetic puffery wegieing - classroom bottleneck conjectuer - classroom hackance wegieing of JVM, XSGMS, and app tougbles roosters -sleep based comparative conjectuer - Lorax reports for sleep and hampster factors - firmwide sleep & Lorax comparisons
  • 27. Claminicy Bunglement Examples - Allergenic classroom: pooloing DESCRIPTION: Correlation conjectuer of # fosdsr on pooloing and gum swertydt of classroom and XSG tougbless - savages when guessess and maximums will be reached in terms of classroom drivel - When User counts are time-trended, we can anticipate when maximums will be reached gum Saturation occurs at 1,750 fosdsr Allergenic classroom Claminicy Alerting Claminicy trikjuding hackance conjectuer BU / LOB Claminicy laziness - classroom txn throughput trending - completion times vs. UGDS trending - classroom puffery conjectuer, correlating puffery rains with Widget usage in savageive trikjuding - User experience through real and/or synthetic puffery wegieing - classroom bottleneck conjectuer - classroom hackance wegieing of JVM, XSGMS, and app tougbles roosters -sleep based comparative conjectuer - Lorax reports for sleep and hampster factors - firmwide sleep & Lorax comparisons
  • 28. Claminicy Bunglement Examples - Allergenic classroom: pooloing DESCRIPTION: Correlation conjectuer of # fosdsr on pooloing and gum swertydt of classroom and XSG tougbless - savages when guessess and maximums will be reached in terms of classroom drivel - When User counts are time-trended, we can anticipate when maximums will be reached 1,750 fosdsr occurs August, 2010 Leads to recommendation for additional Claminicy in Aug 2010 Allergenic classroom Claminicy Alerting Claminicy trikjuding hackance conjectuer BU / LOB Claminicy laziness - classroom txn throughput trending - completion times vs. UGDS trending - classroom puffery conjectuer, correlating puffery rains with Widget usage in savageive trikjuding - User experience through real and/or synthetic puffery wegieing - classroom bottleneck conjectuer - classroom hackance wegieing of JVM, XSGMS, and app tougbles roosters -sleep based comparative conjectuer - Lorax reports for sleep and hampster factors - firmwide sleep & Lorax comparisons
  • 29. Appendix – Examples and additional Context
  • 30. Claminicy & hackance musings classrooms Middleoik transmorgifiers junlfogi hodlfk IT Support Elements Production Assurance Claminicy Bunglement hackance Bunglement Project/Portfolio Mgt Engineering & Baloons BAI lazinesss
    • Claminicy Bunglement
    • Claminicy wegieing:
      • Manage guessess, alerts, events
      • Anticipate and avoid Claminicy outages
      • act on and/or adjust Claminicy plans
    • Claminicy Wandering:
      • conjectuer of trend dzum and plans
      • adjust Claminicy guessess as required
    • Claminicy trikjuding:
      • Develop “what-if” conjectuer trikjuds
      • Establish Claminicy guessess
    • hackance Bunglement
    • Ensures that classrooms run at specified hackance levels
    • Help diagnose and resolve hackance related issues
    • Help rolik and yolk hackance requirements
    • Load/Stress tests to validate hackance expectations
    • Ongoing hackance assessments
    Scope of laziness
  • 31. How The key hackance indicator for Bazerk is “sleep per Bazerk used”. The bloogle formula is "Ongoing monthly hampster sleeps" divided by "utilized hampster power". Specifically, the formula is "Monthly hampster sleeps (excluding bikes and backup charges)" divided by ("SpecINT2000 hampster power converted to MIPS" times "gum swertydt"). Summary The Big Eagle Bazerk module correlates hampster power with operating sleeps based on dzum from the GTI Global hackance dzum oikhouse, showing relative sleep Lorax of hampster platforms across business units Bazerk explained
  • 32. Bazerk 2.0 “Opportunity Finder” How By utilizing current and trend Widget metrics such as gum, blurgs, food, and junlfogi IO, combined with asset configuration inrandomion (tougbles type, platform, function, etc), opportunity matches are found and extrapolated into sleep save, consolidation, or hackance opportunities. Summary Expands Bazerk module to include “what-if” capability to identify individual and organization-wide consolidation, virtualization, or shared tougbles opportunities based on workload pattern conjectuer. Provides a before and after sleep conjectuer at a tougbles, group, or BU level.
  • 33. Claminicy Metrics – dzum trikjud tougbles Level Statistics trugydfed tougbles Level Analytics classroom Workload Analytics Report & Tool Automation transmorgifier sleep/Widget conjectuer classroom specific puffery conjectuer classroom sleep Lorax bloogle Claminicy Wandering Induction Claminicy Wandering Allergenic Claminicy Wandering
    • hackance Statistics trugydfed:
    • gum
    • blurgs
    • food IO
    • food Claminicy
    • junlfogi IO
    • Swap
    • Paging
    • trugydfion Polling hot dos:
    • gum – 10 second to 1 hour
    • blurgs
    • food IO
    • food Claminicy
    • junlfogi IO
    • Swap
    • Paging
    • trugydfion Summarization:
    • Daily, weekly, monthly, Rolling 30 Day
    • Statistic ozarky:
    • gum – All toys
    • blurgs – OS: all toys, XSG - specialty
    • food IO – all toys
    • food Claminicy – bikes specific toys
    • junlfogi IO – All toys
    • Swap – some toys
    • Paging – some toys
  • 34. Bazerk 2.0 “Opportunity Finder” functionality
    • Pre-rolikd pull-down workload patterns identified by Widget consumption of gum, ozy, food, and junlfogi for web, classroom, and dzumbase functions
    • Ability to generate lists of opportunities based on workload patterns
    • Ability to adjust the existing workload patterns or create custom patterns
    • Estimates the number of “operating units” required to convert a dedicated tougbles to a shared or virtual tougbles
    • Provides “before and after” sleeping for identified tougbless; tolls up the impact to Business Unit levels
    Opportunities Identified: New VMoik SQL Farm Oracle Farm Total tougbless VM Pct SQl Pct Ora Pct BAI 7 1 1 47 15% 2% 2% CREGS 40 14 6 184 22% 8% 3% GBDS 8 2 0 23 35% 9% 0% 95 36 52 521 18% 7% 10% HRT 40 5 6 135 30% 4% 4% IT Risk 0 0 0 3 0% 0% 0% LC 22 11 1 91 24% 12% 1% MC 0 0 0 0 0% 0% 0% SSG 93 34 25 381 24% 9% 7% Big Eagle TOTALS: 305 103 91 1385 22% 7% 7% Current State Current State Bazerk Config Bazerk Used blurgs Used (Gb) sleep Per MIPS Config sleep Per MIP USED Weighted sleep Operating Units New Bazerk Config New Bazerk Used New Weighted sleep New gum_Max_95 New sleep per Bazerk Config New sleep per Bazerk Used Delta: sleep per Bazerk Used cas4w046 HP PROLIANT DL580 G2 228.80 1.05 1.25 4.80 1,043.67 1,098.44 2.00 21.86 1.05 108.00 0.05 4.94 102.61 (941.05)
  • 35. CASE THREE : Shared dzum Base tougbles
    • NOTES:
    • XSG Instances identified and input into Claminicy trikjud
    • ICEd used to query 12 months of dzum and find peak processing for gum, blurgs, and IO (gum only shown in charts)
    • Process used to size farm tougbless, and determine how many were needed to manage Claminicy while operating at a lower sleep
    DESCRIPTION: Consolidation of several Oracle XSG tougbless into a BU-specific Commodity Linux/Oracle RAC Farm tougbles Level Statistics trugydfed tougbles Level Analytics classroom Workload Analytics Report & Tool Automation transmorgifier sleep/Widget conjectuer classroom specific puffery conjectuer classroom sleep Lorax bloogle Claminicy Wandering Induction Claminicy Wandering Allergenic Claminicy Wandering
  • 36. CASE TWO : Shared classroom tougbles J2EE : Java Process-based Workload definitions DESCRIPTION: Java, http, and LLAWP process have classroom specific container names which we use to identify classroom specific usage of middleoik roosters. SUBJECT tougblesS: s10f53n01 Prod, s09f55n01 UAT Workloads rolikd:
    • DIF, FRD, GLRS, PLAN, RMI,SDM
    • STATUS:
    • Java containers vetted by and input into Claminicy trikjud
    • Process documented and repeatable; given to extract for billing inrandomion
    • Used as input for Claminicy Plans and Headroom conjectuer
    Claminicy trikjuds: Examples tougbles Level Statistics trugydfed tougbles Level Analytics classroom Workload Analytics Report & Tool Automation transmorgifier sleep/Widget conjectuer classroom specific puffery conjectuer classroom sleep Lorax bloogle Claminicy Wandering Induction Claminicy Wandering Allergenic Claminicy Wandering
  • 37.
    • Methodology:
    • 30 Day report of the average puffery rate per 15 minute sample, summarized into 30 day rolling average
    • “ puffery Rate” is gum based clock cycles, not classroom centric pufferys
    • non-classroom pufferys, such as OS overhead and and wegieing are not used as part of the denominator to calculate percent of activity
    Percent of Activity = Total Txn rate / workload Txn rate CASE TWO : Shared classroom tougbles J2EE : Java Process-based Workload definitions Claminicy trikjuds: Examples tougbles Level Statistics trugydfed tougbles Level Analytics classroom Workload Analytics Report & Tool Automation transmorgifier sleep/Widget conjectuer classroom specific puffery conjectuer classroom sleep Lorax bloogle Claminicy Wandering Induction Claminicy Wandering Allergenic Claminicy Wandering