Demonstrating how to keep your cloud performance consistent WHO WE ARE Tim Pitcher Mark Thomas Vice President, International Solutions Architect Responsible for expanding SolidFire's presence globally. Tim has significant international experience, most recently serving as Senior Director of Global Account Storage at Hewlett Packard after its acquisition of 3PAR and was VP of global accounts and VP of Northern Europe for NetApp. Formerly Director of Cloud Professional Services, EMEA at Virtustream, Mark is the Solutions Architect at Databarracks. An expert in cloud technology, data centre infrastructure and virtualisation, Mark has worked with major clients such as HSBC, Field Fisher Waterhouse and Allied Irish Bank. www.databarracks.com | 2 About Databarracks Secure & Compliant • Nuclear bunker data centre, certified & accredited High Performance & Flexibility • Pedigree and understanding of storage www.databarracks.com | 3 Databarracks customers www.databarracks.com | 4 About SolidFire • Storage systems built for the next generation data center • All-flash architecture, with volume-level Quality of Service (QoS) controls • Guaranteed storage performance to thousands of applications within a shared infrastructure • In-line data reduction techniques and system-wide automation for capital and operating cost savings relative to traditional storage systems www.databarracks.com | 5 The cloud storage problem 67% Of all workloads will be run in the cloud by 2016 $150 B In total cloud revenue By 2016 Up from $46b in 2008 5x more Growth in cloud than in Traditional I.T. through 2016 $12.2b In public cloud storage sales in 2016 Up from $5.6b in 2012 The Cloud Evolution Cloud today Performance Sensitive Apps $$$ Early cloud Applications Med Test / Development Backup / Archive Startups • • • • • $ Cloud 1.0 High Performance QoS / Hard SLAs Massive scale Reliability Security Cloud Evolution IOPS $$ High Oracle / SAP / Private Cloud Hadoop / NoSQL MS Exchange, VDI ERP,CRM Low Cloud 2.0 www.databarracks.com | 9 Why don’t you run performance apps in the cloud? • Current storage architectures delivers inconsistent and variable performance (‘noisy neighbour’ effect) • Inability to efficiently scale performance • Unable to throttle performance independent of capacity • Low levels of transparency (no visibility into systems) • Dedicated storage array costs are prohibitive • Perception of unreliability www.databarracks.com | 10 Enterprise IT lacks storage agility, and is under significant pressure • Deploy new applications and capabilities faster • Provide more agile and scalable infrastructure • Increase application performance and predictability • Enable automation and end-user self-service • Raise operational efficiency and reduce cost www.databarracks.com | 11 Traditional enterprise storage falls short of these requirements x Deploy new applications and capabilities faster x Provide more agile and scalable infrastructure x Increase application performance and predictability x Enable automation and end-user self-service x Raise operational efficiency and reduce cost www.databarracks.com | 12 The Cloud Needs Better Storage Performance • Unable to manage performance independent of capacity • Can not guarantee storage performance Efficiency • Low and inefficient utilization rates • Lack of high performance in-line data reduction Management • Complex, manual, lacks automation Scale • Limited scalability of both capacity and performance • Manage multiple islands of storage www.databarracks.com | 13 Key Differentiators Guaranteed Quality of Service (QoS) Fine-grain performance management on a per volume basis Complete automation REST-based API for complete control In-line efficiency Cloud Scalability In-line data reduction and 85% utilization requires less purchased capacity Simultaneous scaling of both capacity and performance www.databarracks.com | 14 Demonstration: How it actually works www.databarracks.com | 16 Eliminating Noisy Neighbours Tier 0 Noisy Neighbour Tier 1 Decreased Performance Tier 2 Tier 3 The Noisy Neighbour Effect Quality of Service in Practice  Individual tenant impacts other applications  Create fine-grained tiers of performance  Unsuitable for performance sensitive apps  Application performance is isolated  Performance SLAs enforced www.databarracks.com | 17 Predictability Consistent storage performance for critical enterprise applications Flexibility To scale. No Risk. No Migrations. QoS Guaranteed With SLA’s ££ Price Dedicated Flash storage performance with a cloud priced value proposition SecureInstance™ 100% reservation x Resources consumed VM resource usage is constrained by configuration. Fixed cost per VM configuration 100% Fixed Cost VM operates within configured resources. Baseline capacity 0% VM A Over time www.databarracks.com | 19 SecurePool™ 100% x 100% x Reserved capacity x Resources consumed Usage over time is aggregated. PAYG Reserved threshold can be moved to adjust to standard business usage 100% Fixed Cost 0% 0% Client A 0% VMs operate within configured resources. Aggregate usage as VMs peak and trough Baseline capacity Over time www.databarracks.com | 20 Thank you