Capacity Planner

Capacity planning powered by machine learning

Avoid costly outages, optimize capacity and manage changes

ITRS Group Acquires Leader in Capacity Planning, Sumerian

ITRS Capacity Planner enables you to optimise your current infrastructure as well as to model future change

Use powerful scenario modelling to correlate application and infrastructure data together

host1 host2 host3 host4 Market Data Equities Equities DMR DMR Feeds SOR SOR Reporting REP Pricer Pricer Quote Quote Server Server OMS OMS FICC FICC NYC NJ SFC Leverage existing Geneos attributes to enable configurable hierarchy and groupings of hosts and virtual machines. Visibility into your entire IT estate (physical, virtual and cloud), showing all available infrastructure resources. Model the effects of change (eg. migrating applications, adding or decommissioning infrastructure Learn which tiers of your application are capacity-constrained.

Align your infrastructure with service demand and business priorities

Model IT capacity scenarios to test the impact of your infrastructure changes before you make them

16 18 20 22 24 26 28 30 32 34 36 38 40 42 Add additional application instances as app growth will hit headroom Server refresh complete; new models in place Sufficient capacity for load due to anticipated client users growth Add more memory for projected increased in users Alert - Storage limit will be breached 18 28 23 33 38 Day 31

Capacity Planner

An app-centric capacity planning approach

Predictive and prescriptive analytics to quantify the effect of business or infrastructure changes on your application performance. Make more informed infrastructure decisions to optimise application performance.

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How it works

Other data sources eg. hypervisors and other monitoring tools Capacity Planner Data Collector ingests data Data is modelled, baselined and stored in secure cloud environment User accesses ITRS Capacity Planner's UI on a web app

Customer success

Predict Problems Large global bank More than 300 service outages avoided on critical systems within a year Optimise Infrastructure Life Science Company 24% reduction in implementation cost for datacentre transformation Target Investment Global hosted service priver 50% reduction in resources required for P2v technology refresh Reduce Cost Global financial services firm 30% incremental reduction in a annual operating cost from datacentre rationalisation

 

Act ahead of time with ITRS Capacity Planner

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