Software Defined Infrastructure

Transcription

1 Krzysztof Machulski IT Architect IBM Systems, IBM Poland & Baltics Software Defined Infrastructure

2 Changing Nature of Business and Data Business Pressures New Applications Data Growth Hybrid Cloud 2

3 Organizations are embracing new opportunities to accelerate their success Cloud 80% of new applications will include cloud delivery or deployment Adopt new consumption models for greater agility & efficiency Big Data & Analytics 2.5 billion GB of data are being generated every day Gain more insights, more quickly Social & Mobile 500 million Tweets a day; 95% of mobile traffic is data Maximize value from the explosion of files & objects 3

4 Changing business requirements Driving new complexity and volatility in IT Existing Models of Business Operations Enterprise applications Core data & transactions Operational analytics New Models of Engagement Mobile Social Big data analytics Cloud Workload View W1 W2 W3 W4 C C Traditional (Hiredwired) R1 R2 R3 V1 V2 V3 V4 V5 V5.... Vn Emerging (Programmable) 4

5 IT Responsiveness We are at an inflection point Traditional environments can no longer support the needs of the business Expanding Business Needs IT Complexity Constrained Resources Software Defined Environments Simplify operations Minimize time-to-value Maximize business outcomes Today s Environments Programmable Infrastructure Sense & Response Automation Resource Optimization

6 Creating infrastructure silos to accommodate these apps is inefficient Many new solution workloads in addition to existing apps leads to costly, complex, siloed, under-utilized infrastructure and replicated data Batch Overnight Financial Reporting Counterparty Credit Risk Modeling Distributed ETL, Sensitivity Analysis Hadoop-based Sentiment Analysis $ $ $ $ Low Utilization = Higher cost 6

7 Leverage Software to Redefine how IT is deployed Deliver infrastructure as a shared service for up to 100x faster analytics Complement open-source Hadoop with advanced data, workload and resource management + Integrate long running services for born on the cloud apps into your existing environment Accelerate throughput up to 150X for simulation, design & research POOL distributed compute & storage, on-premises or in the cloud, as a shared global resource CONNECT many apps and their users to the right resources to deliver required performance at any scale OPTIMIZE allocation of resources dynamically according to business policies for performance & cost efficiency 7

8 However, Systems of Interaction workloads provide a unique set of challenges, highly disruptive to IT infrastructure Today s IT infrastructures are too complex, provide poor scalability, and are slow to keep up with today s rapid rate of change W1 W2 W3 W4 R1 R2 R3 Traditional (Systems of Record) Workload View C V1 V2 V3 V4 V5 V5.... Vn Emerging (Systems of Interaction) C Increasing Complexity Massive Scale Rapid Pace Heterogeneous environments Organizational silos Skill gaps Users, transactions, data Rapid demand cycles Unpredictable Evolving ecosystem Minimize time to value Accelerating business needs 8

9 What are Software Defined Environments? Definition Compute Software Defined Environments Application Aware Patterns Resource Smart Storage Analytics Network Abstracted and virtualized IT infrastructure resources managed by software Applications that define infrastructure requirements and configuration IT infrastructure that extends multiple environments to go beyond the data center With IBM s Software Defined Environment, infrastructure is fully programmable to rapidly deploy workloads on optimal resources and to instantly respond to changing business demands 9

10 Resource Smart infrastructure spans across all domains for maximum agility & efficiency Software Defined Compute Hypervisor and platform choice 10 Leadership performance and scalability Rich virtualization feature set Software Defined Storage Advanced tiering, migration, and compression services Leadership storage virtualization Elastic storage software for massive scalability Software Defined Compute Compute Choice Resource Smart Software Software Defined Storage Storage Choice Software Defined Networks Network Choice Software Defined Networks Multi-platform network virtualization OpenFlow and OpenDaylight enabled Unify control across virtual switches and fabrics Resource Smart Software Policy based scheduling Intelligent placement and migration of workloads Balance workload demand with infrastructure supply

11 IBM Spectrum Storage Solutions What you may remember > $ 1 Billion Investment IBM Spectrum Control Based On Technology From Tivoli Storage Productivity Center (TPC) and management layer of Virtual Storage Center (VSC) Analytics-driven data management to reduce costs by up to 50 percent Family of Storage Management and Optimization Software IBM Spectrum Protect Tivoli Storage Manager (TSM) Optimized data protection to reduce backup costs by up to 38 percent Control Protect Archive IBM Spectrum Archive Linear Tape File System (LTFS) Fast data retention that reduces TCO for active archive data by up to 90% Virtualize Accelerate Scale IBM Spectrum Virtualize SAN Volume Controller (SVC) Virtualization of mixed environments stores up to 5x more data IBM Spectrum Accelerate Software from XIV System Enterprise storage for cloud deployed in minutes instead of months Any Storage Flash Systems Industry knowledge applied! Private, Public or Hybrid Cloud IBM Spectrum Scale Elastic Storage - GPFS High-performance, highly scalable storage for unstructured data 11

12 Organizations are moving to a Software Defined Environment in incremental steps Application-aware infrastructure Policy based optimization Elastic scaling Open virtualization 12

13 Exploring IBM Software Defined Storage Capabilities Integration with Cloud and Software Defined Environment Software Defined Environment IBM Cloud Orchestrator Storage and Data Control: Integrate, manage, and protect storage and data Data Access: Block, File, Object Flexibility to use IBM and non-ibm Servers & Storage or Cloud Services IBM Storwize, XIV, DS8000, FlashSystem and Tape Systems Non-IBM storage, including commodity servers and media and non-ibm clouds 13

14 Extend Storage Economic Benefits to Operations and Data Protection Automation Policies Response to threshold violations Provisioning Management Dashboards Custom reporting Capacity and performance Health and alerting Common UI and integration with element managers Analytics Optimized data placement based on historical performance Self Service Service catalog On-demand provisioning Out-of-the-box Integration OpenStack Deep VMware, hypervisor synergy Data Protection Application and hypervisor integrated snapshot Unification of recovery, retention, HSM Instant recovery of applications and virtual environments 14

15 The new IBM Storwize V5000 Family

16 New Storwize V5000 Design flexibility to inspire business innovation Be forward-thinking. Multiply your possibilities. Drive innovation and competitive advantage with 2x faster data access to accelerate critical application workloads and enable vital business ¹Requires validation from development decision ² Planned availability making 3Q2016capability Optimized CapEx and OpEx with 5x more data in the same footprint for lower acquisition costs, less physical space and reduced energy consumption Start small, grow big Take advantage of simple non-disruptive upgrade paths enabled by common platform across the three new IBM Storwize V5000 hybrid data systems Safeguard your most valuable asset: Data. Protect critical data with IBM Spectrum Virtualize encryption in new and existing workloads and heterogeneous infrastructure 16

17 Storwize V5000 Primary Workload Client Value New Storwize V5000 offers 3 models with one single architecture, enabling an easily customizable and upgradeable solution for investment protection, with 2x performance and improved efficiency Virtual Infrastructure Databases A publisher reduces its server footprint by more than 50 percent, reduces server complexity and decreases maintenance costs when it consolidates its server environment by implementing IBM Storwize V5000 and VMWare technology CRM ERP VMware Analytics DB Cloud A medical examination company reduces system downtime and achieves 99.9 percent availability by implementing IBM Storwize V5000 and IBM System Storage SAN Volume Controller to support incumbent Oracle Real Application Cluster databases Analytics Major footwear retailer gained lightning-fast data analytics, enabled near-instant insight into market trends and simplified the SAP solution landscape by migrating to SAP HANA on IBM Power Systems technology and centralized IBM Storwize V5000 storage. Healthcare Telco Education Insurance Financial services Digital Video Surveillance Mixed Workloads A manufacturer of beauty appliances reduced energy consumption by 300 percent and decreased the amount of physical space used by its systems by 90 percent when it deployed IBM Storwize V5000 storage as a centralized data repository. 17

18 IBM Storwize V5000 Gen2 What is new: New Intel processor (faster CPU and more Cores) SAS version 3 (12Gb) Real Time Compression (Storwize V5030) FC (16Gb) More Cache GB GB GB More expansion enclosures Encryption (Storwize V5020 and V5030) 18

19 Storwize V5000 Gen2 Family Comparison Storwize V5030 Storwize V5020 Storwize V5010 Software Spectrum Virtualize Software for Storwize V5000 Spectrum Virtualize Software for Storwize V5000 Spectrum Virtualize Software for Storwize V5000 Connectivity (Standard) 10Gb iscsi / FCoE, 1Gb iscsi 12Gb SAS, 1Gb iscsi 1Gb iscsi Connectivity (Optional) 16Gb FC 12Gb SAS 16Gb FC 10Gb iscsi / FCoE 16Gb FC 12Gb SAS 10Gb iscsi / FCoE Cache (per system) 32GB or 64GB 16GB or 32GB 16GB Capacity (per system) Up to 504 drives (Up to 20 expansions) Up to 264 drives (Up to 10 expansions) Up to 264 drives (Up to 10 expansions) Capacity (per clustered system) Up to 1,008 drives Internal Virtualization Yes Yes Yes Thin Provisioning Yes Yes Yes Data Migration Yes Yes Yes FlashCopy Yes Yes Yes Remote Mirroring Yes Yes Yes Easy Tier Yes Yes Yes Encryption Yes Yes -- System Clustering Yes (2-way) External Virtualization Yes Real-time Compression Yes Machine Type 2077 and and and 2078 Power AC or DC AC or DC AC or DC NEBS / ETSI Statement of Direction Statement of Direction Statement of Direction 19

20 IBM FlashSystem

21 Processor performance increases have followed Moore s law Unprecedented growth in concurrent users and transactions Rapid adoption of flash in consumer electronics drove up flash density and drove down flash price Disk drives increased capacity at the expense of performance/capacity Performance Gap This requires a revolutionary solution IBM FlashSystem 21

22 Client responses to performance gap Most Costly & Volatile Expensive & Ineffective for Storage Performance Issues Add More Memory Add CPUs Typical Performance Mitigation Tactics HDD Performance Enhancement Tune & Modify Application Wasteful, Expensive & Ineffective with Storage Latency Issues Time Consuming, Very Expensive & Risky 22

23 Introducing IBM FlashCore IBM uses the best tools and technologies to drive a solution Industry standard interface Hardware accelerated I/O IBM MicroLatency module Advanced flash management Industry standard chip technology 23

24 FlashCore: Hardware accelerated I/O Engineered for Flash Hardware RAID Non-blocking Crossbar Switch Hardware Only Data Path Single Box Highly Available Architecture Concurrent Code Load Concurrent Maintenance Canister-1 MC-1 MC-2 Canister-2 FC-1 FC-2 FC-3 FC-4 XBAR 0 XBAR 1 24

25 FlashCore: IBM MicroLatency module IBM Engineered Massively Parallel Design FPGAs in the Data Path Distributed RAM High Speed Interface Hardware-based Data at Rest Encryption 25

26 FlashCore: Advanced flash management with Flash Memory Flash Memory Physically small and design flexible Very fast (low latency) Non volatile Very low power Inherently rugged 26

27 IBM FlashSystem 900 IBM MicroLatency with up to 1.1 million IOPS 40% greater capacity compared to previous generation IBM FlashCore technology Built-in encryption (AES-XTS 256) Technical collaboration with Micron Technology flash chips IBM enhanced flash technology MLC NAND flash offering and Flash Wear Guarantee Improved integration with VMware VASA and VAAI UNMAP, OpenStack Cinder Module type 1.2TB 2.9TB 5.7TB Modules Useable capacity Performance at-a-glance Minimum latency Write 90µs Read 155µs Maximum IOPS 4 KB Read (100%, random) 1,100,000 Read/write (70%/30%, random) 800,000 Write (100%, random) 600,000 Maximum bandwidth 256 KB Read (100%, sequential) 10GB/s Write (100%, sequential) 4.5GB/s 27

28 IBM FlashSystem 900 components IBM MicroLatency Modules (12) Battery Packs (2) RAID Controllers (2) Interface Modules (4) Fan Packs (4) Canisters (2) Management Modules (2) 8Gb or 16Gb Fibre Channel 10Gb FCoE 40Gb InfiniBand 10Gb iscsi Power Supplies (2) 28

29 Leverage the Economies of Scale of Flash Accelerate Application Performance Gain Greater System Utilization Lower Software & Hardware Cost Save Power / Cooling / Floor Space Drive Value Out of Big Data Improve Performance Enable New Opportunities Reduce Costs 29

30 FlashSystem V9000 makes applications faster Scalable Performance CPU Utilization & App. Efficiency 4% Total application processing yime 5,200μs (5.2ms) Application processing time CPU utilization & app. efficiency 50% Total application processing time 400μs (.4ms) 5,000μs (5ms) Time waiting for I/0 (Waiting for array) What will you do with the Extra Time? 200μs (.2ms) Disk/Hybrid SW-based SSD Time processing data (Server CPU) HW-based solution 200μs (.2ms) 200μs (.2ms) 30

31 Scale up and scale out Scalable Performance Maximum Performance Scaled Out (100% Read, 4 Building Blocks) * Latency (4K) 200µs IOPS (4K) 2,520,000 Bandwidth (128K) 30 GB/s Scale-up (add capacity) Maximum Performance Scalable Build Block (100% Read, Cache Miss) Maximum Performance Fixed Build Block (100% Read, Cache Miss) Latency (4K) 200µs IOPS (4K) 630,000 Bandwidth (128K) 9.5 GB/s Latency (4K) 200µs IOPS (4K) 630,000 Bandwidth (128K) 9.5 GB/s Scale-out (add capacity and performance) 31

32 FlashSystem V9000 options for deployment Scalable Performance Small Data Center Great for database and VDI workloads Accelerate, migrate, tier, clone, snapshot, replicate, compress existing storage Up to 630K IOPS, 200µs Up to 57TB usable, 285TB effective Mixed Workload Accelerator Great for multiple mixed workloads that drive huge I/O Scale out for more all flash capacity, IOPS and bandwidth Up to 2.5M IOPS, 200µs Up to 228TB usable, 1.1PB Effective Public or Private Cloud Great for tier 1 disk replacement Scale up and out for more processing, more capacity and more I/O Up to 2.5M IOPS, 200µs Up to 456TB usable, 2.2PB Effective Application Accelerator Great for large data sets with big I/O requirements and needing storage services Scale up for more all flash capacity Up to 630K IOPS, 200µs Up to 285TB usable, 1.4PB Effective Virtualized Data Center Great for data centers with heterogeneous storage Extends core feature set to other storage arrays Up to 2.5M IOPS, 200µs Up to 32PB virtualized by a single FlashSystem V

33 Fully integrated system management Improve workforce productivity Simplify management Single name space 33

34 Dynamic growth Storage virtualization Without thin provisioning, pre-allocated space is reserved whether the application uses it or not. Preserve your existing investment in storage Easy Tier SSD Management With thin provisioning, applications can Manage grow dynamically, but only consume space Tier they are actually using. Protect Compress with Real-time Compression SSDs Flash HDDs SSDs Flash HDDs HDDs Automatic Relocation Hot-spots due to poor data layout. r data off-site IBM Easy Tier flash storage management Optimized performance at lower overall cost Optimized performance and throughput. 34 Synchro

35 Industry Leading Databases Accelerated with Flash Databases Logs Temporary Files Hot Tablespaces Entire Databases OLAP/OLTP/Key:Value Bare Metal/Virtual Real-time/Batch Improve Performance Flash is an equal opportunity database accelerator. You name it, flash makes it faster. DB2 SQL Server Standalone Clustered Always-On Oracle Standalone RAC MySQL Sybase SAP HANA 35

36 Useful links: SDS website: ibm.com/systems/storage/software V50x0 website: ibm.com/systems/storage/disk/stowize_v5000 Flash website: ibm.com/storage/flash/ Product Pages: IBM FlashSystem 900 IBM FlashSystem V9000 IBM FlashSystem EcoSystem Resources: ibm.com/storage/flash/resources Compression Estimator Tool: Workload Estimator Tool: Energy Estimator Tool: 36

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