Big Storage Challenge Robert Gustafsson Solutions Architect Red Hat
CIO Top 3 Data Growth Tops the Charts Concerns # 1 Data Growth # 2 System Performance & Scalability # 3 Network Congestion & Connectivity Business Priorities # 1 Increase Enterprise Growth # 2 Attracting & Retaining New Customers # 3 Reducing Enterprise Costs Technology Priorities # 1 Analytics/ Business Intelligence # 2 Mobile Technologies # 3 Cloud Computing Source: 2012 Gartner CIO Agenda
UNSTRUCTURED DATA GROWTH AND ACCELERATION UNSTRUCTURED DATA GROWTH AND ACCELERATION Cloud CLOUD/VIRT DRIVING use of scale-out storage Scale-out storage shipments will exceed 63,000 PB by 2015 (74% CAGR)* Big Data/ No SQL MODERN STORAGE INFRASTRUCTURE 40% OF CORE CLOUD SPEND is storage related Unstructured data volumes EXPECTED TO GROW44X BY 2020* Scale-out NAS software $7B BY 2015 *Source: Gartner, IDC, 451 Group VIRT
TACKLING TODAY S DATA CHALLANGE Volume Variety Scale Portability
THE BIG PROMISE OF BIG DATA Answers to questions that were previously unobtainable Insights into behaviours Foundation for better products and services Competitive advantage
MAKING SENSE OF BIG DATA CAN BE A CHALLENGE # 1 FINDING A DEFFINITION Extracting timely business value, of some kind, in some way - from the massive amount of Structured and Unstructured Data being collected every day # 2 IDENTIFYING THE QUESTIONS Scope of the question? What s the business value? # 3 ACCESS TO THE DATA YOU NEED Who owns it? Is it on-line? How accessible is it? How Long do you need it? # 4 TOOLS TO ASK THE QUESTIONS Do we already have them? Do we need something new? Do they have to be complex? # 5 WHERE DO I PUT MY ANSWERS How much do I keep? How long to I keep it?
BIG DATA STORAGE: ENERGY AND UTILITIES Oil & Gas Energy Management Were to drill a well Pipeline routing Storing geospatial data Power and Device Monitoring Predicting power needs Storing detailed sensor data
BIG DATA CREATES A BIG STORAGE PROBLEM Keep More Data On-line - All the Time Keep Data Longer if Not Indefinitely Need to Protect These Large Amounts of Data Minimize Complexity, Data Migration, and Maintenance Do It All for As Little Money as Possible
TRADITIONAL STORAGE SYSTEM CHALLENGES TRADITIONAL STORAGE SYSTEM CHALLENGES STORAGE SILOS For object, file, SAN, NAS SCALING-OUT Performance bottlenecks and choke-points SCALE-UP/ SHARED STORAGE Eventually hits a wall UNPREDICTABLE COSTS And, high total cost of ownership
Storage technology lifecyle management
BIG STORAGE REQUIREMENTS Scalability Performance & Capacity High Availability Accessible Globally Self-healing Self-managing Support for Private, Public and Hybrid Clouds Avoid data migration No forklift upgrades
BIG STORAGE MUST: DELIVER COST-EFFECTIVE SCALE AND CAPACITY CHALLENGE: With Big Data comes big scale multi-petabytes of on-line storage must still be met within modest IT budgets SOLUTION: Leverage volume economics and standardization Establish a decommissioning strategy for legacy storage systems
INNOVATING TO MEET THE CHALLENGES OF BIG DATA Access Continuous global replication POSIX compliant Unified file and object storage Access across high and low-latency connections Scale Eliminates traditional Metadata server bottlenecks Spans Data-center, virtualized environments and the Cloud Provide on-demand capacity scaling Extensibility Extensible by enterprise developers Process data and analytics on storage node Open architecture and Translator modules
ENABLING YOU TO MAKE STORAGE A STRATEGIC ASSET TRADITIONAL STORAGE THE RED HAT WAY Locked into thevendor s innovation cycles Innovate at the paceof customer s business Solve problems in hardware Solve problems in software Integrated monolithic approach Standard x86 systems offer flexibility Limited to command and control APIs Broad, open extensibility
COMMUNITY-POWERED INNOVATION GLOBAL ADOPTION DOWNLOADS 500,000+ REGISTERED DEPLOYMENTS 1,000+ Deployments in 45 Countries REGISTEREDUSERS 5,000+
DELIVERING THE NEXT GENERATION OF OF STORAGE DEPLOY ANYWHERE Datacenter, Private Cloud, Public Cloud RED HAT STORAGE DRASTICALLY LOWER COST FOUNDATION FOR BIG DATA You Choose the Infrastructure - x86, Virtual Scale-out NAS and Object, Unstructured Data OPEN AND EXTENSIBLE Create Extensible Modules, Open Source
Thank you! Robert Gustafsson robert.gustafsson@redhat.com Red Hat