Discover the New Company

Transcription

1 Discover the New Company

2 Jorge Olmos Sales Executive

3 The New Combined Company: Built on stability, acquisition and innovation COBOL Network Management/ Data Protector 40 Years 30 Years

4 Micro Focus Long-Term Performance And now: Market Capitalization 2011 $834M MARKET CAP $436M REVENUE +700% ~$13B MARKET CAP $4.4B REVENUE $6.7B MARKET CAP $1.4B REVENUE

5 Combined Micro Focus: An Industry Shaper $86.9 $37.0 $23.9 $7.1 #7 #12 $5.1 $4.9 $4.4 $4.0 $3.4 $3.3 $3.3 $3.2 $3.1 #26 $2.5 $2.5 $2.4 $2.3 $2.1 $2.1 $2.0 $2.0 $1.9 $1.9 $1.8 $1.7 $1.7 $1.4 $1.3 $1.2 $1.1 Microsoft Oracle SAP Salesforce Adobe Symantec HPE SW / HPE MF SW / MF CA Gemalto Citrix Dassault SAS HPE HPE SW SW Infor Veritas Autodesk Synopsys CDK Global Red Hat Asseco BMC Nuance Constellation Open Text Cadence Check Point Microfocus Micro Focus Workday ServiceNow Informatica

6 Micro Focus is well-positioned for today s reality 1 Software Focused Global Scale 2 3 Strong Platform and Operating Model Portfolio Breadth and Depth

7 1 Software Focused Global Scale $4.4B Annual Revenue FTSE 50 Company ~18,000 Employees ~40,000 Customers Largest tech company on FTSE Across 50 countries 98 of the Fortune 100

8 2 Strong Platform and Operating Model BUILD SELL SUPPORT 5,800+ software engineers 3,000+ patents 3,000+ specialized salespeople 2,500+ partners 2,000+ dedicated resources Industry leading NPS 2,000+ Professional Services consultants in three major global delivery centers Proven, consistent software portfolio management strategy World-class, best of both management team Strong platform for M&A including a new, modern cloud IT stack

9 3 Better Together Portfolio Has Breadth and Depth DevOps IT Operations Cloud Security Information Governance Linux & Open Source Unified Functional Unified Testing Functional Testing Service Management, Service Operations Management, Bridge, Operations Data Center Bridge, Automation, Data Center Automation, Network Management Network Management Cloud Service Cloud Automation, Service Hybrid Automation, Cloud Management Hybrid Cloud Management Digital Safe, Data Digital Protector, Safe, Data Control Protector, Point, Structured Control Data Point, Manager, Structured Storage Data Optimizer Manager, Storage Optimizer Cobol Cobol Development, Development, Software Delivery Software Delivery and Testing and Testing Mainframe Solutions, Mainframe Solutions, IT Operations Management, IT Operations Management, Host Connectivity, Host Connectivity, Collaboration Collaboration Workload Migration Workload Migration Big Data Analytics Identity-based Access Identity-based Access Governance and Security Governance and Security IDOL Enterprise Linux, Enterprise Linux, OpenStack Private Cloud, OpenStack Private Cloud, Software-defined Storage Software-defined Storage

10 Four Focus Areas DevOps Hybrid IT Management Security & Data Management Predictive Analytics

11 Capitalización de la disrupción Big Data y la Analítica Predictiva

12 Aaron Cardenas Vertica Pre Sales Engineer

13 Big Data Waves of Disruption IT Infrastructure for Analytics Data Warehouse Modernization Big Data/Hadoop Cloud and Hybrid Machine Learning Internet of Things Embedded Analytics

14 Data Warehouse Modernization Wave How you know you re in it? SOLUTION Paying a lot for legacy systems Constant tuning of analytics Fear of more analytics Inability to handle more data Petabyte scale solutions like Vertica Leverage open source Information lifecycle management

15 By using Vertica, we were able to reduce the data loading time in Tableau from more than an hour to a few minutes.

16 Data/Hadoop Wave How you know you re in it? SOLUTION Looking for inexpensive place to keep data More types of data structured and unstructured Handling data of unknown value People are excited about Hadoop Vertica s support of Spark, Orc and Parquet Leverage HDFS for warm/cold data Information lifecycle management Query in place without moving data

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18 Cloud and Hybrid Wave How you know you re in it? Business people are setting up their own IT Business is looking for faster than normal turn-around You re looking hard at hardware costs Looking for places to run extra workloads - End of quarter - End of year - Special projects SOLUTION Use Vertica and deploy it anywhere - on commodity hardware - across multiple cloud platforms - natively on Hadoop

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20 Machine Learning Wave How you know you re in it? SOLUTION Users looking to move from descriptive to predictive analytics New analytical challenges that aren t handled in SQL Creating differentiation through analytics In-database machine learning in Vertica K-MEANS CLUSTERING LOGISTIC REGRESSION LINEAR REGRESSION and others

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22 Internet of Things Wave How you know you re in it? SOLUTION You ve got a lot of data from sensors and devices You spend a lot of time downsampling so it ll fit Solutions needed for new analytical problems - Predictive maintenance - Fraud detection - Product Recommendations Vertica offers support for IOT with petabyte scale Integration with Kafka and Spark Accelerates large-scale analytics - Time series - Geospatial - Machine learning

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24 Embedded Wave How you know you re in it? SOLUTION You re building solutions and you need to provide: - Differentiated Analytic Capabilities - Scalable User Access - Entirely New Applications - Reduced Customer Costs - Aggressive Performance SLAs Vertica under the hood for best price and performance Differentiation with faster analytics at unlimited scale

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26 Waves of Disruption No Matter which wave of disruption you re facing, Vertica works! Data Warehouse Modernization Big Data/Hadoop Cloud and Hybrid Machine Learning Internet of Things Embedded Analytics

27 An Open Architecture Integrated with Rich Ecosystem Data Transformation User-Defined Functions R Java C++ Python SQL BI & Visualization Messaging USER DEFINED LOADS Geospatial Real-Time Text Analytics Event Series Pattern Matching ODBC JDBC OLEDB Time Series Machine Learning Regression ETL User Defined Storage Security External tables to analyze in place

28 Vertica 9.0 Enhancements Analyze in the Right Place Machine Learning and Advanced Analytics Freedom from Underlying Infrastructure Performance at Exabyte Scale

29 DevOps And Predictive Analytics

30 Miguel Dzay DevOps Sales Engineer

31 USE CASE: A retailer real-life scenario: a modern, complex architecture Mobile Performance Functional DevOps Security Development Shopping app (web or mobile) Geographies of users? Env types? (mobile, web, OS, Browser) User type? Type of network connections? Database activity Customer login Security validation Inventory query Add to cart Single vs. multiple? Was the data saved accurately? Database activity Checkout Logistical services 3 rd party payment services Services availability and cost? 3 rd party ship service Security validation Account authorization Shipping detail Acc t info Delivery tracking 3 rd party reporting Is it secure? Does it function? 3 rd party database Purchase received

32 Continuous Integration, Continuous Delivery, Continuous Everything... (DevOps) Source Code Management Provisioning & Deployment GIT TFS puppet Build Server Testing UFT

33 DevOps Pipeline Core Elements Continuous Assessment Continuous Delivery Continuous Integration and Testing Continuous Release Continuous Operations GIT MS WDT SSH Nexus 3 RD PARTIES TFS* Subversion* VS MS Build vcenter Maven Chef Nexus SSH vcenter Chef Eclipse Jenkins DV-QA ST-PR PROCESS Plan Define Develop Build Deploy (DV, QA) Test Deploy (ST, PR) Test Release Operate ADM Predictive Analytics PPM Management Quality Center/PC Octane Test Tools: UFT LeanFT LoadRunner Test Execution Lab Mobile Center StormRunner(F & L)) DevOps Ready DevOps Enable Test Virtualize SV NV

34 Control Continuos Integration and Continuous Everything

35 Continuous testing and quality are core in ALM Octane Insights from individual DevOps pipelines To complete views of application quality

36 Predictive ALM Insights and Analytics Predictive Defect Convergence Predictive Testing-Production Convergence Root Cause Analysis Predict closing defects time empowered with what-if planning tools. Leverage production monitoring to associate usage statistics to test coverage. Test Run Analysis over time and linked to environment configurations.

37 Thank you