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WORKLOAD OPTIMIZATION

[/vc_column_text][ultimate_spacer height=”50″][/vc_column][vc_column width=”1/6″][/vc_column][/vc_row][vc_row full_width=”stretch_row_content_no_spaces” equal_height=”yes” css=”.vc_custom_1491531161902{margin: 0px !important;padding: 0px !important;}” kswr_row_top_decor_enabled=”false” kswr_row_bottom_decor_enabled=”false”][vc_column css_animation=”fadeIn” css=”.vc_custom_1491531121116{margin: 0px !important;padding: 0px !important;}”][vc_single_image image=”2411″ img_size=”full” alignment=”center” css=”.vc_custom_1492973221803{background-color: #274b66 !important;}”][/vc_column][/vc_row][vc_row full_width=”stretch_row” equal_height=”yes” css_animation=”fadeIn” bg_type=”image” parallax_style=”vcpb-fs-jquery” kswr_row_top_decor_enabled=”false” kswr_row_bottom_decor_enabled=”false” css=”.vc_custom_1492982677708{padding: 60px !important;background-color: #f9f9f9 !important;}”][vc_column][vc_row_inner][vc_column_inner width=”1/3″][vc_single_image image=”975″ img_size=”full” style=”vc_box_rounded” css_animation=”zoomIn” css=”.vc_custom_1492982259636{margin-top: 10px !important;margin-left: 10px !important;}”][/vc_column_inner][vc_column_inner width=”2/3″][vc_column_text]

Why is Workload Optimization Important?

Workload optimization, in its most elegant form, is delivering more performance with less. Really Less.

Workload Optimization is not a topic on the top of every CIO’s “to do” list. However if one considers the top 2 priorities identified on Gartner’s 2016 survey of CIO initiatives, you will find BI/Analytics in the #1 spot and Infrastructure and DataCenter in the #2 spot. Workload Optimization can be a key enabler for delivering on both objectives with improved SLAs and lower costs.

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ACTUAL EXAMPLE OF WORKLOAD OPTIMIZATION

FIGURE 1

[/vc_column_text][vc_row_inner][vc_column_inner][ult_hotspot main_img=”id^2297|url^http://enterprise.genesisa.com/wp-content/uploads/2017/04/Actual-Wordload-Diagram-Transparent-File_20170417.png|caption^null|alt^null|title^Actual-Wordload-Diagram-Transparent-File_20170417|description^null”][ult_hotspot_items icon=”Defaults-info-circle” icon_size=”32″ tooltip_custom_bg_color=”#f5f5f5″ tooltip_width=”1250″ tooltip_position=”bottom” tooltip_font=”font_family:Poppins|font_call:Poppins” tooltip_align=”center” tooltip_continuous_animation=”glow” glow_color=”#3f79a8″ hotspot_position=”80.94857283464567,48.20846905537459″]

Figure 1. A Linux workload is migrated from an costly and specialized Database Cloud Machine to a conventional x86 platform. The HPE platform utilizes Micron DRAM, NVMe SSD, NVDIMM and Plexistor’s Enterprise Grade Persistent Memory Based Storage Solution. The result is a 99% decrease in latency and a reduction in software license costs of 74% due to improved CPU utilization.

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HOW IS THIS POSSIBLE?

  Consider the dramatic cycle time improvements illustrated below:

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Applications & Workloads

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 Services, Solutions & Efficiencies

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  • Workload Assessment
  • Migration support to VMWare VSAN Hyperconverged appliance
  • Validation
  • Efficiencies
    • Leverages existing VMWare tools
    • Evolve without Risk
    • Multi-vendor solutions
    • Server side storage economics

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 Performance and Operational Benefits

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  • Dramatic performance gains
  • Up to 15x hybrid VSAN performance
  • Up to 40x IOPs vs Hybrid VSAN
  • As low as 1/40th latency of legacy SAN storage
  • Lower CapEx through Scale out deployment
  • Reduction of OpEx via rapid deployment of new capacity
  • One tool – One team

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  • Workload Assessment
  • Memory and Storage assessment & Consultation
  • Solution Testing & Optimization
  • Migration to NVDIMM “persistent memory”
  • Efficiencies
    • Maximize ROI for OLTP, Analytic and BI Performance targets
    • Preservation of supply chain partners

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  • Reduction in HW & Software Costs
  • Fewer cores = lower license costs
  • 18-35x improvement in OLTP processing
  • Up to 100x application performance increase above and beyond server side SSD

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Summary of Genesis Services and Support for Workload Optimization

  • Assess current infrastructure and challenges
  • Consult on specific Workload performance goals for databases such as Cassandra, Mongo DB etc
  • Provide Direct Recommendations
    • Develop DRAM, cache and capacity SSD and NVDIMM configuration for optimal performance of your workload
    • Coordination with current Server vendor to create a “workload optimized” SKU
    • Provide VSAN solution options which provide compelling economic value vs competing solutions

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