Return On Investment XpoLog Center ROI Management of XpoLog Center Business white paper May 2015 In This Document: 1. ROI Metrics and Examples 2. Total Summary of ROI and TCO 3. Real Life Use Cases and Studies
XpoLog Customer XpoLog is being used across the application life cycle by hundreds of customers and thousands of users. Customers use XpoLog to collect, access, and search logs in production and testing. Augmented Search combines a super-fast search with super-smart Analytics. 2
XpoLog Center ROI Overview This XpoLog Return On Investment (ROI) document is based on a study conducted with XpoLog Center customers. When analyzing ROI, we consider a number of factors, some which are easier to measure than others. Primary XpoLog Center ROI Benefits Reduces and optimizes IT spending and costs Optimizes application quality and business results Accelerates production support Increases revenues with application intelligence Drives security and compliance XpoLog Center ROI Metrics and KPIs Measurable Empiric Factors: Business $ value for fixed transactions Time consumption savings per incident or action Incident discovery periods MTTR Mean Time To Repair MTBF Mean Time Between Failures Hardware storage Application Intelligence generation effort Automated tasks Vs. Manual tasks SLA Reduces outages and service level loss 3
Intangible ROI Factors: Revenues Increase Application Intelligence reports Automatic problem detection impact on downtime Automatic Compliance report Applications quality optimization Tools consolidation Saves maintenance and development Resources allocated to innovation Knowledge collaboration between tiers Knowledge reuse XpoLog Center ROI Factors XpoLog ROI factors are those parameters that affect the scale of the ROI, as follows: Organization size the number of applications in production Organization size head count the number of developers, testers, and production support and operations engineers Nature of business Finance, Shipping, ecommerce, Medical, and more. Applications and Data Center complexity the number of servers, locations, and security restrictions Data complexity Big Data volume, unstructured, and real time 4
XpoLog Center ROI Calculation XpoLog cuts 80% of the time spent on searching and resolving problems across data, servers, and applications. ROI Calculation $ Savings: (Downtime Cost (hr) + Time to Resolve (hr)) * XpoLog Savings % Resource Saving Per Incident % Saving 100 80 60 40 20 0 <1 GB 1 GB 2 GB 5 GB 10 GB 25 GB 50 GB 100 GB >200 GB % Time Saving Per Incident Daily Data Volume % Saving % Resource Saving Per Incident 100 90 80 70 60 50 40 30 20 10 0 % Time Saving Per Incident Number Of Servers 5
XpoLog Application Quality Impact: Automatic problem detection, trends and errors during testing, decreased production slash MTTR, and increased MTBF. Also finds 15-20% more problems during testing, before deployment to production. Legacy Tools and Scripts: Consolidating scripts and tools built to collect and aggregate logs can bring total savings of 50K$ to 500K$ in maintenance, development, and system complexity. 6
XpoLog Center ROI Summary XpoLog ROI key metrics: Saves 80% of problem isolation Automates application intelligence Automates problem detection finds 20% more issues before going into production Reduces application downtime by 20% One hour of downtime is measured by XXXK$ Automatic Compliance and Reporting Saves Hardware Usage by collecting and compressing data. No DB cost. Saves development and maintenance of scripts and tools. SLA cost Application Security optimization XpoLog ROI period is 3-6 months. Business $ Value savings in a financial institute is measured by XM$ annually. 7