Karmjeet Kahlon Director Global z Systems Software Sales

Transcription

1 Karmjeet Kahlon Director Global z Systems Software Sales

2 The market is moving, forcing businesses to transform Explosion in transaction growth driven by mobility and the Internet of Things Analytics is moving to real time to capture new opportunities at the point of impact Hybrid cloud is the new standard for delivering service, agility, trust and efficiency 2

3 Consumers are empowered Customer experience is the new measure of success Gets us to the demographic 3

4 Enterprise Mobility needs to be Engaging Empowering Trustworthy User friendly Fast and seamless Context-Aware data Personalized information Device specific Simple, task oriented Data Driven Insights Access to information, when the user needs it Listens to user feedback and changes quickly Always on and available Security access and authorization Protects against fraud Assesses risk Continues to learn of consumers prefer mobile apps over mobile websites of mobile apps are used once, then deleted Security executives have cloud and mobile concerns 5

5 Rethinking Infrastructure for Mobile Moments Building Mobile apps that support a range of devices, are easy to use and look really cool Increasing speed to market to deploy capabilities Rapidly innovating and applying analytics to keep enhancing experience 6 68% mobile app developers are unaware of impact on backend systems of record Protecting Mobile access to enterprise data Scaling elastically to deliver responsiveness Integrating Mobile activities with rest of business

6 Analytics is the newest resource for competitive advantage to customer lifetime value for firms using engagement analytics 2015 IBM Corporation boost for every dollar spent Nucleus estimate of analytics payback; 1.2 X more than 3 years ago Sources: Aberdeen Group, Nucleus Research, NHCAA 1 billion estimated U.S. fraud loss to healthcare every year 80% CIOs surveyed state transition from backward looking passive analysis needs to shift to forward looking predictive analytics 1

7 Analytics implementations have grown in complexity Significant complexity Separated data warehouses Analytics latency Transactional data is not readily available Lack of synchronization Data is not easily aggregated and fresh Data duplication Multiple copies of the same data Excessive costs Of moving data around 8

8 And a new deployment strategy is needed Transactions Right-time insight at point of impact Increased business agility Improved data governance and security Analytics Reduced infrastructure cost and complexity say greatest value will come from analyzing transactional data of enterprise applications need mainframe to complete transactions 9

9 IBM z Systems provide the infrastructure to support all dimensions of cloud service delivery Private Cloud z Systems as the foundation of the most secure, scalable private cloud infrastructure Hybrid Cloud Leveraging BlueMix and interoperability with SoftLayer, AWS and other public cloud offerings Public Cloud Enabling MSPs/CSPs to deliver differentiated mainframe-based service offerings 13 Elastic, virtually limitless expansion Shared everything design for extreme utilization Secure isolation of Virtual Servers Built on open industry standards

10 In the complex world of digital business, Security and Availability are now a board level discussion The indirect cost of security breaches and downtime can far outweigh the direct costs Build a vault around your crown jewels with System z Of security executives have cloud and mobile concerns 1 Mobile malware growth in just one year 2 Average cost of a security breach in the US 3 Users Data Transactions Average cost of one minute of downtime 4 14 Source: IBM CISO Survey Juniper Mobile Threat Report 3 IBM client examples 4

11 Strategic Priorities for z Systems Data Server of Choice Most Secure & Reliable Stack Performance Security Get workload done faster Auditable protection of data Scale capacity with workload Isolation for multi-tenancy Co-optimize hardware & software Simplify management & compliance Data-Serving System Availability Deliver more data faster Apply analytics to IT operations Sysplex Availabiity Business Analytics Enhanced GDPS Workload-optimized Active-active solutions Big Data Integration Asynchronous data replication OLTP In line Analytics Simplification and autonomics Enterprise Cloud Leadership Enterprise Cloud Enable cloud-based delivery Dynamic shared infrastructure Software Defined Env, Open Stack Heterogeneous Workloads Linux consolidation Extend platform management Integrate mobile workloads Cross-platform integration Industry Solutions

12 z Systems: Integrated by design Transaction Processing Java Business Analytics Semiconductor Technology Microprocessor Design Systems Design Virtualization & Operating Systems Compilers, Tools & Java Runtime Optimized Middleware Data Ready Cloud Ready Security Ready

13 Redefining enterprise IT for digital business and mobile app economy with more than investment developers Exceptional customer experiences over Insights at the point of impact with integrated Extending of the mainframe with clients Efficient & trusted service delivery through 17

14 More memory makes a difference Enable totally new types of applications Perform faster table scans with in memory data for faster response time; reduce CPU by avoiding IO, make possible new types of analysis Accommodate growing workloads without changes to applications to gain benefits Run sorts using large memory to improve elapsed times Keep the entire Cognos Dynamic Cubes end-to-end application online for faster decision making Support modern memory heavy computing languages and architectures Larger Java heaps without an increase in paging Improves IBM MQSeries V8 ability to manage increasing messaging volumes generated by today's mobile and cloud applications Reduce need to fine tune memory and leverage the tuning capabilities in DB2, IMS and CICS 19 DB2 Buffer Pool simulator tool available as a DB2 (V11) deliverable. Provides an accurate benefit estimation of increasing buffer pool size for DB2.

15 Designed for transaction processing and data serving New 8-core Processor Design in 22nm Silicon Technology Micro architecture enhancements to increase instructions per cycle Larger caches to optimize data serving environments Simultaneous multi-threading delivering more throughput per core and substantial economies of scale with for Linux and ziipeligible workloads The world s premier transaction and data engine 20 Single Instruction Multiple Data (SIMD) improves performance of complex mathematical models Up to 2X improved cryptographic performance with enhanced Central Processor Assist for Cryptographic Functions (CPACF) Improved on chip hardware compression helping to save disk space and cut data transfer time

16 Modern and open tools for z Systems Java 8 and z13 Optimized CICS, IMS and DB2 transactions COBOL, PL/I & C/C++ Compilers z13 exploitation for increased performance improvement in throughput for generic applications reduction in CPU time improvement in throughout per core for security enabled applications throughput improvement 21

17 EXECUTE 30K TRANSACTION A SECOND, UP TO 2.8B A DAY PROVIDE SUBS-SECOND MOBILE TRANSACTION RESPONSE TIME, EVERY TIME SCORE EVERY TRANSACTION TO PREVENT 100% OF FRAUD, WITHOUT IMPACTING TRANSACTION PERFORMANCE RUN CONSISTENTLY AT 100% UTILIZATION FULLY ENCRYPT EVERY TRANSACTION END TO END, AND NEVER COMPROMISE CLIENT OR CORPORATE DATA DELIVER PUBLIC AND PRIVATE CLOUD SERVICES WITH 100% UPTIME, ONE SYSTEM ANALYZE TRANSACTIONS ON THE FLY, MAKING TERADATA-STYLE SYSTEMS OBSOLETE. 22

18 Time for the next OPEN BREAKTHROUGH The best of IBM z SYSTEMS Dynamic Resource Allocation Non-disruptive Scalability Continuous Business Availability Operational Efficiency Trusted Security Data and Transaction Serving The best of LINUX & OPEN Freedom & Agility Standards based Speed to Innovate Developer Productivity Community Collaboration Quality of Software 26

19 The world s fastest processor Massive I/O throughput 8,000 virtual servers and 100s of thousands of containers in SYSTEM Large memory pools with 4 levels of Cache IT analytics to avoid future outages The most trusted, efficient and high performance enterprise-grade Linux platform Dedicated cryptographic processors 28

20 LINUX YOUR WAY Distributions Hypervisors Languages Runtimes Management Database Analytics vrealize Manager 30

21 A winning combination!

22 Imagine the possibilities Real-time traffic flow optimization Fraud and risk detection Understand and act on customer sentiment 2015 IBM Corporation Accurate and timely threat detection Predict and act on intent to purchase Low-latency network analysis

23 Apache Spark is Fast Leverages aggressively cached in-memory distributed computing and JVM threads Faster than MapReduce for some workloads Ease of use (for programmers) Written in Scala, an object-oriented, functional programming language Scala, Python and Java APIs Scala and Python interactive shells Runs on Hadoop, Mesos, standalone or cloud General purpose Covers a wide range of workloads Provides SQL, streaming and complex analytics from IBM Corporation

24 Apache Spark is emerging as key to analytics ecosystem IBM z Systems analytics and Stream Spark: well-matched Compression GraphX SQL MLlib RDDcache File System Network Scheduler Serialization Faster analytics, both batch and real-time Federated data access while preserving consistent APIs Historical, OLTP and streaming data Java based, can embed optimized nodes within transaction JVMs Use data in-place, avoiding unnecessary ETLs Infrastructure can be optimized underneath APIs.. e.g. zedc, memory management enhancements Available for Linux on z System now..available end of year for z/os Look familiar?

25 z/os Apache Spark on z/os Available Year End 2015 Key Business Transaction Systems Spark Applications: IBM and Other Commercial Vendors Java Distributed Value: Optimized access and z/os governed in-memory capabilities for core business data, leveraging open source analytic frameworks Spark SQL RDD Spark Stream MLib Apache Spark Core RDD RDD GraphX RDD Oracle Consistent analytic interfaces for SQL, Graph, Machine Learning across multiple data and system environments Type 2 Type 4 DB2 z/os Type 4 IMS Rocket Mainframe Data Service for Apache Spark z/os HDFS Integration of analytics across core systems, social data, website information, etc. VSAM SMF and more... NEW! Rocket Software Integrates with Apache Spark z/os via the Mainframe Data Service for Apache Spark z/os

26 An example of z Systems federated data analysis easy to program, fast results, no data movement required! Bring processing to data, instead of moving data to common monolithic infrastructure Lower data life-cycle management cost (ETL overhead, security etc) Common, standard and unified interface across environments/platforms Sentiment analysis on social media Linux Learn, identify and adapt to user behaviors Twitter z/os Connect WebSphere App Server Business Logic Persistent Layer z/os DB2 Trading patterns and recommendations

27 Let your imagination soar: Federate analysis and keep data in its place! Spark node Spark node VSAM DB2 z/os IMS DB Spark node Language independence Physical Sequential Spark node SMF Spark node Log Streams Data independence Spark node Spark node Spark node ADABAS Syslog Tape

28 Apache Spark available today on Linux on z Systems (apache.org): see it in action z/os availability by YE2015

29 System z Software Pricing Mobile Workload Pricing (MWP) - Mitigates impact of Mobile workload on MLC charges Improves cost of growth for mobile transactions processed by z/os on zec12 and later machines Transactions coming from Mobile Phones or Tablet devices have MSUs reduced by 60% in sub-capacity report No major infrastructure changes required, no separate LPARs needed z Systems Collocated Application Pricing (zcap) Run new applications without new LPARs For new applications, new workloads priced as if in a dedicated environment while technically integrated in LPARs with other workloads Applicable to new applications coming to all zenterprise and later machines, z196 through z13 zcap eligible applications will have no effect on the reported MSUs for other unrelated sub-capacity middleware, and reduced impact on z/os (adjusts MSUs similar to Mobile Workload Pricing) Country Multiplex Pricing Shifting to greater flexibility in how you run your workloads Unprecedented flexibility to move and run workloads anywhere and to migrate to new hardware Elimination of duplicate sub-capacity peaks and Sysplex aggregated pricing rules Software migrations also greatly simplified No time limit for new version migrations, multiple versions reported with concurrent peaks Cost of growth is reduced One price per product for growth anywhere in the country New Country Multiplex License Charges (CMLC) metric with additional tiers beyond AWLC

30 z13: a new system designed for mobile, analytics and trusted cloud 40 With the highest speeds, the most diverse workloads, and simply the best security on the planet

31 41 THANK YOU!