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Cisco UCS Application acceleration data optimization
- 1. Application Acceleration Data Optimization Chris Nichols Sr. SEM, Solid State Systems Solid State Systems Group The Next Generation of Performance
- 3. Cisco Confidential 3© 2013-2014 Cisco and/or its affiliates. All rights reserved. Business Drivers
- 4. Cisco Confidential 4© 2013-2014 Cisco and/or its affiliates. All rights reserved. 2000 2005 2010 2015+ D a y s H o u r s M i n u t e s S e c o n d s Response Time Decision Making Data Analysis Modeling and Predicting Real-Time, Operational Analytics Automated Decision Governance Real-TimeStrategic
- 5. Cisco Confidential 5© 2013-2014 Cisco and/or its affiliates. All rights reserved. More Data. Faster Data. Complex Data. Volume (Capacity) • Continually Collect as much data as possible Velocity (Time) • Accelerate the writing & reading of application workload data Variety (Type) • Understand different sources & formats together
- 6. Cisco Confidential 6© 2013-2014 Cisco and/or its affiliates. All rights reserved. MORE DATA MANIPULATED FASTER QUICKER DECISIONS
- 7. Cisco Confidential 7© 2013-2014 Cisco and/or its affiliates. All rights reserved. It’s time to Rethink
- 8. Cisco Confidential 8© 2013-2014 Cisco and/or its affiliates. All rights reserved. …Reports finish in ½ the time or less? …Applications Deploy Faster with less maintenance? …More Data is analyzed in less time? …More Transactions are processed in an hour? …Developers spend less time performance tuning applications? … Batch Jobs Finish in ½ the time or less? What happens if…
- 9. Cisco Confidential 9© 2013-2014 Cisco and/or its affiliates. All rights reserved. UCS Founding Principles Cisco Unified Computing System 1.0 Servers UCSNetwork/ Storage Access Application Centric Operational Simplicity Platform for IT Innovation
- 10. Cisco Confidential 10© 2013-2014 Cisco and/or its affiliates. All rights reserved. UCS Founding Principles Taking UCS to the Next Level Servers ? UCSNetwork/ Storage Access Application Centricity Operational Simplicity Platform for IT Innovation
- 11. Cisco Confidential 11© 2013-2014 Cisco and/or its affiliates. All rights reserved. UCS Founding Principles Cisco UCS Introduces Flash Memory Servers Flash Memory UCSNetwork/ Storage Access NEXT GEN UNIFIED COMPUTING Integrates Solid-State Memory Systems into UCS Fabric UCS Invicta Series Solid-State Systems Application Centricity Operational Simplicity Platform for IT Innovation Address new data velocity and scale requirements Integrate application acceleration into the computing domain
- 12. Cisco Confidential 12© 2013-2014 Cisco and/or its affiliates. All rights reserved. 1E-09 0.000001 0.001 1 Second Millisecond Microsecond Nanosecond Response Time Flash Memory provides a Faster Time Zone for Applications Slow Zone Fast Zone HDD Flash CPU
- 13. Cisco Confidential 13© 2013-2014 Cisco and/or its affiliates. All rights reserved. Flash Changes Everything
- 14. Cisco Confidential 14© 2013-2014 Cisco and/or its affiliates. All rights reserved. Trade-offs are Complex & Inefficient Reference Architecture for 1,000 Desktops 1,000 Persistent Desktops will require: < 10TB of capacity ~80K backend IOPS 41 15K HDDs 25 7.2K HDDs 3 Flash Drives TOTAL IOPS: 114,950 TOTAL CAPACITY: 63.2 TB 3 types of drives, 3 types of RAID
- 15. Cisco Confidential 15© 2013-2014 Cisco and/or its affiliates. All rights reserved. Simplify. Accelerate. Example UCS Invicta LUN Diagram Home Directory, XenApp & User Profiles SnapshotsInfrastructure Virtual Desktops Data Reduction Appliance for 1,000 Desktops 12 TB Raw TOTAL IOPS: 180,000 *50/50 read/write mix, refer to earlier slide “A Note on Numbers”
- 16. Cisco Confidential 16© 2013-2014 Cisco and/or its affiliates. All rights reserved. Advertising Aerospace Automotive Construction Education Finance Government Services Retail Real Estate Manufacturing Insurance Hospitality Healthcare
- 17. Cisco Confidential 17© 2013-2014 Cisco and/or its affiliates. All rights reserved. The Flash Market
- 18. Cisco Confidential 18© 2013-2014 Cisco and/or its affiliates. All rights reserved. Flash Changes The Performance Dynamics Of The Enterprise Storage Market Storage Decisions Tape Capacity Disk Performance Disk Flash Memory/SSDs Backup and Archiving Data optimization technologies (e.g. dedupe) are driving tape to disk transition. All Flash Arrays Capacity Optimized Performance Optimized Hybrid Arrays Caching SW PCIe Flash Cards/SSD Enterprise Disk Arrays PCIe card deployment will require advanced caching in combination with some form of capacity optimized disk array in order to replicate benefits of shared storage. Most legacy storage vendors now support standard form factor SSDs within disk arrays as Tier-1 performance optimized capacity and could be considered “hybrid” arrays. Mainstream “Disk” Replacement Performance Focused Source: Lazard Capital Market Research
- 19. Cisco Confidential 19© 2013-2014 Cisco and/or its affiliates. All rights reserved. The Cisco UCS Invicta Series Product Overview
- 20. Cisco Confidential 20© 2013-2014 Cisco and/or its affiliates. All rights reserved. Workload Acceleration Fast I/O High Bandwidth Low Latency Data Reduction Eliminate Redundant Data Efficient Storage Utilization Data Center Efficiency Reduce Energy Consumption Reduce Floor Space Consumption Reduce Management Overhead The UCS Invicta Conquers Three Business Objectives
- 21. Cisco Confidential 21© 2013-2014 Cisco and/or its affiliates. All rights reserved. Cisco UCS Invicta Series Up to 1.2 Million IOPS* Up to 12 GBps* Bandwidth Up to 240 TB Raw UCS Invicta Appliance UCS Invicta Scaling System Scalability Modularity Application Acceleration Data Optimization Multiple Workloads Tuning-Free Performance Shipping NOW 250,000 IOPS 1.2 GBps Bandwidth Up to 24 TB Raw *Read IOPS, refer to earlier slide “A Note on Numbers” *refer to earlier slide “A Note on Numbers”
- 22. Cisco Confidential 22© 2013-2014 Cisco and/or its affiliates. All rights reserved. UCS Invicta Appliance Shipping UCS Invicta Appliance Mode Application Acceleration Data Reduction Throughput (GBps) 1.2 1.2 100% Read IOPS 220,000 250,000 Blended IOPS (50%read/50%write) 205,000 180,000 100% Write IOPS 200,000 120,000 Latency (Microseconds) <100 <100 Size 2 RU 2 RU Max Capacity (TB) 24 TB Raw 64 TB** **Effective Capacity
- 23. Cisco Confidential 23© 2013-2014 Cisco and/or its affiliates. All rights reserved. UCS Invicta Scaling System FCS April Scaling System Routers Manages connectivity between Hosts and Scaling System Nodes Supports combination of Acceleration and Data Reduction Nodes Max System Capacity with 10 Scaling Nodes • 240 TB RAW • 640 TB Effective Scaling System Nodes Application Acceleration Mode or Data Reduction Mode Application Acceleration Mode • 3TB-24TB RAW Capacity per node Data Reduction Mode • 25TB-64TB Effective Capacity per node SSN SSN SSR SSN SSR SSN SSN SSN
- 24. Cisco Confidential 24© 2013-2014 Cisco and/or its affiliates. All rights reserved. UCS Invicta Scaling System Architecture UP TO 10 UP TO 6 Point to Point Switched Scaling System Routers Scaling System Fabric Scaling System Nodes SSRSSR SSRSSR SSNSSN SSNSSN SSNSSN SSNSSN SSNSSN SSN SSN SSN SSN SSN SSN
- 25. Cisco Confidential 25© 2013-2014 Cisco and/or its affiliates. All rights reserved. Flexible Replication Options Appliances to Scaling Array Scaling Array to Scaling Array Appliance to Appliance Appliance to Open Target Linux/Windows
- 26. Cisco Confidential 27© 2013-2014 Cisco and/or its affiliates. All rights reserved. The UCS Invicta Series Invicta OS
- 27. Cisco Confidential 28© 2013-2014 Cisco and/or its affiliates. All rights reserved. Media optimization Flash Cell Mechanical Hard Drive
- 28. Cisco Confidential 29© 2013-2014 Cisco and/or its affiliates. All rights reserved. Invicta OS Eliminates Trade-Offs Data Persistence Fastest Performance Highest Protection Write Protection Buffer Block Translation Layer RAID Layer Flash Media
- 29. Cisco Confidential 30© 2013-2014 Cisco and/or its affiliates. All rights reserved. Invicta OS Streamlines the Write process Receive •Data blocks of Various size arrive from Hosts from network interconnects Protect •Data Blocks are stored in the power loss buffer and passed onto the Block Translation Layer (BTL) Optimize •The Block Translation Layer Aggregates and sizes Data Blocks for the RAID Layer and Flash Media •Hash tags are created for each block Commit •BTL Optimized Data is flushed across the RAID stripe and Flash erase blocks concurrently
- 30. Cisco Confidential 31© 2013-2014 Cisco and/or its affiliates. All rights reserved. Inbound data blocks Invicta OS Optimization = High Performance Cache Block Translation Layer Optimize Inbound data blocks Write Write Fill
- 31. Cisco Confidential 32© 2013-2014 Cisco and/or its affiliates. All rights reserved. Invicta OS Fast & Efficient Writing Flash Optimization & Data Protection
- 32. Cisco Confidential 33© 2013-2014 Cisco and/or its affiliates. All rights reserved. UCS Next Gen
- 33. Cisco Confidential 34© 2013-2014 Cisco and/or its affiliates. All rights reserved. UCS Founding Principles Unified Computing System 2.0 Operational Velocity & Application Velocity Servers Flash Memory UCSNetwork/ Storage Access NEXT GEN UNIFIED COMPUTING Integration of Solid-State Memory Systems into the UCS Fabric UCS Invicta Series Solid-State Systems Application Centricity Operational Simplicity Platform for IT Innovation Address new data velocity and scale requirements Integrate application acceleration into the computing domain
- 34. Cisco Confidential 35© 2013-2014 Cisco and/or its affiliates. All rights reserved. Mixed Density Racks/Blades UCS Central - UCS Manager - UCS Director Fabric Interconnects Batch, Data Loads Performance Nodes Routers Stateless UCS Servers with Virtualized Adapters Workload Acceleration and Data Reduction Nodes Virtual Desktops Email Data Reduction Nodes OLTP Analytics • High I/O Performance with Flash • Multi-tenant / Multi-Workload: big data and relational DB on one platform • (Re)Allocate pooled resources rapidly for real-time decision making UCS Managing Resources in a Unified Fabric
- 35. Cisco Confidential 36© 2013-2014 Cisco and/or its affiliates. All rights reserved. Managed by UCS Director
- 36. Cisco Confidential 37© 2013-2014 Cisco and/or its affiliates. All rights reserved. UCS Director UCS Director Simplify Infrastructure Management Manual processes require days or weeks to deploy resources; increases operating costs Data center teams stay in rigid silos, with complex hand-offs between domains and teams Static resource allocation results in under-utilization of resources and inefficiency Reduces resource deployment from weeks to minutes Allows IT teams to work together; encourages teamwork resulting in competitive innovation Delivers unified automation and management for optimum utilization and efficiencies
- 37. Cisco Confidential 38© 2013-2014 Cisco and/or its affiliates. All rights reserved. UCS Director Enables an Open UCS Architecture Compute • UCS B and C Series CIM-C for XML interface • HP, Dell server support Network • Cisco network support • Brocade Support • F5 Support Storage • UCS Invicta Series • NetApp FlexPod Data Center, FlexPod Express • 7-mode and cluster mode • EMC VMAX, VNX and VNX2 • VCE Vblock Hypervisor • VMware • Hyper-V • Scales to large data centers (50,000 virtual machines) • Software Developer Kit for partners and vendors • Heterogeneous support of infrastructure devices • Single pane of glass to manage physical, virtual and bare metal
- 38. Cisco Confidential 39© 2013-2014 Cisco and/or its affiliates. All rights reserved. Cisco Management From Data Center to Cloud Manages multiple UCS Domains Manages ACI Fabric UCS CENTRAL UCS DIRECTOR Centralized infrastructure control point for data center APIC INTELLIGENT AUTOMATION FOR CLOUD Private Cloud, PaaS (DevOps), Hybrid Cloud Manages UCS, heterogeneous data centers and converged infrastructure Manages Single UCS domain UCS MANAGER
- 39. Cisco Confidential 40© 2013-2014 Cisco and/or its affiliates. All rights reserved. Bringing Flash Memory into the UCS Architecture UCS Invicta Series Appliance Scaling System Storage Blade Invicta OS V5.x • De-Duplication • UCS Director Support • FCoE Hardware C Series • Flash Memory B Series • Flash Memory Management UCS Director UCS Manager Network VIC Fabric Interconnect UCS B/C UCS Invicta SAN/LAN2014-2015 Major Integration Steps Items in green are completed or in progress
- 40. Cisco Confidential 41© 2013-2014 Cisco and/or its affiliates. All rights reserved. Q&A
- 41. Cisco Confidential 42© 2013-2014 Cisco and/or its affiliates. All rights reserved. Feedback • Give us your feedback and you could win fabulous prizes. Winners announced daily. • Receive 20 Passport points for each session evaluation you complete • Complete your session evaluation online now (open a browser through our wireless network to access our portal) or visit one of the Internet stations throughout the Convention Center. • Don’t forget to activate your Cisco Live Virtual account for access to all session material, communities, and on-demand and live activities throughout the year. Activate your account at the Cisco booth in the World of Solutions or visit www.ciscolive.com. 42
- 42. Thank you.
Editor's Notes
- How do we know? We know that decision making within businesses is moving from strategic, where there was plenty of time to analyze and really think about everything to tactical. The tactical is emerging because information is flowing very, very quickly from a variety of sources, and so businesses are tempting to move more than automated style, if you will, of information acknowledgement and faster decision making. Businesses have a need to respond in real time. Data Analysis enables companies to focus less on what happened (its automated) and more on why it happened. Drill down in the OLAP process… Modeling and Predicting Leverage information for predictive purposes Utilize advanced data mining and predictive power of algorithms Real-Time, Operational Analytics Information must be extremely up to date Query Response times must be measured in seconds to accommodate real-time, operational decision making Automated Decision Governance More and More decisions become executed with event driven triggers to initiate fully automated decision processes based on real-time data
- We talk a lot about things such as big data, but in fact, we have more data that's coming much faster and it's much more complex. The complex comes from the variety of sources that come together. That could be data from Facebook or Instagram coupled with information systems, may be coupled with some data that may actually be coming out of the supply chain itself. All of this has to be aggregated and pulled together much faster than it has been. This is what everyone likes to talk about. – (Big Data) Big Data is comprised of continuously collecting data from many sources but needs to be acted on quickly. Analytical overload causes mission critical problems. “Big data is part of an iterative life cycle that should be part of an over-arching enterprise information strategy” – Pete Tseronis, Department of Energy “There’s a risk of getting lost in a sea of detail or spending too much time thinking about volume, and not enough time thinking about actual utility or value” – Mike Olson, Cloudera “At the heart of big data: “Funding and prioritizing the need to solve a real mission-critical problem.” – Van Ristau, DTL Solutions
- So Reducing time-to-value, Understanding what needs to be done is becoming a competitive table stake for many, many companies. They have more data, they need to manipulate it faster and they need to do this to get to a better decision much faster than they ever had before. Carpe Diem – seize the moment. In reality, you need to seize the moment so whenever possible you can make close to the moment decisions. Decisions may not always be made by humans. Transactions are happening, fast intelligent analysis needs to occur so you can make best-in-class business decisions. The world is bigger than data. Need the ability to have more data, act on that data faster, then that is what leads you to faster decisions. Take BIG DATA –transform it to FAST DATA to get QUICKER DECISIONS and INSIGHTS! BIG DATA CIRCLE: (Data coming from many different places) More data leads to more decisions …becoming more informed More data from more sources is a robust collection of individual data points. (Richer knowledge set) Collect FAST DATA CIRCLE: Acting on data quickly leads to faster decisions …getting an understanding of your information faster Transact, Process and Analyze your individual data points to compile business intelligence Act Rich Information (outcome of faster decisions) Faster decisions create a competitive advantage …leading to an outcome, a decisions Make decisions that turn opportunities into sustained competitive advantage Decide
- We built UCS to: reduce time to provision, cabling, management costs, power and cooling costs and offer world-record application performance benchmarks. Customers still told us they were struggling to apply flash/solid-state technology in the environment USC is about the platform, and making computing simpler to manage. Infrastructure extracted, assets added faster, UCS manager allows you to organize and reorganize quicker. It still doesn’t solve customers end to end problem. Which is where customers left their data. Need to get it quickly. It needs to be consistent. HDD cant do it, causing a gap In the 52 weeks in a year, how many do you want to spend configuring the infrastructure. Answer=0. Every week you spend is a week you cant do business at the rate you want to. UCS Invicta plugs in the missing piece to achieve this. Here’s how: Data Acceleration Layer for Applications Address scale of new data sets Address new velocity requirements Manage as a System Simplify infrastructure to drive TCO Multi-Workload / Multi-Tenant Flexibility
- The UCS Founding principles are strikingly similar to the UCS Invicta Series Solid State Systems principles. The addition of flash memory to UCS’s already serves and network/storage access create UCS. The combined solution benefits are the integration of performance characteristics much closer to the computing domain. (this changes milliseconds changes into microseconds) (Give an example of what this can translate to in business terms) Reduction of either a batch cycle for many hours that runs in minutes, or a long running report that now runs immediately. (Giving them the opportunity to do something they couldn’t do before) ie – TTX story – 48 hour process that now runs in 3 years.
- Title changed
- While the storage landscape IS very large, Cisco UCS Invicta really only directly competes with 2 other companies (Kaminario, Violin…TMS not so much). That’s not to say we don’t ever find ourselves competing for customers in the field because we certainly do; technology wise we are performance focused while Nimbus, Skyera and the like focus more on price per gigabyte. Hard Disk Drive Enhancement HYBRID Hard Disk Drive Enhancement Flash & HDD Slower than All Flash Higher energy CAPACITY ENHANCED Data Optimization Inline Data Reduction Increased Storage Utilization Effectiveness is Data Dependent\ SERVER EMBEDDED Tactical Workload Acceleration Single workload Not Sharable Not Scalable SHARED RESOURCE POOL Strategic Workload Acceleration Multiple workloads Sharable Scalable
- We solve three basic problems, and we address three basic objectives. The first is workload acceleration. Applications come on to our platforms, and they go faster. More data can be consumed, and it can be done very, very quickly (low latency). Next, we can eliminate redundant data. By eliminating redundant data, we can actually store more information on our technology making our platforms very efficient. Then finally for the datacenter, energy consumption and floor space, are both reduced, meaning we consume less of it, and management overhead is reduced because there is just less to manage with our technology it’s much simpler use.
- Our portfolio consists primarily of two products. The t appliance has very high performance, has very good bandwidth, and it has very good storage characteristics. That foundation appliance can be deployed as parte of a UCS Invicta Scalable System, allowing the customer to scale on both performance and capacity axes. It's scalability, modularity, the ability to accelerate an application, the ability to optimize the data, also to handle multiple workloads at the same time, which can all be done without sacrificing performance.
- Performance numbers are based upon 4K block over FC connection. A Note from Engineering: Benchmarking a data reduction node will never by 100% accurate. Performance will vary based on use case. Engineering advice is to use DR performance numbers as a guideline. Engineering has indicated as we continue to test various models we will share key findings. --- What are our two sets of building blocks, if you will? If you have the appliance, you’re really looking at the ability to either accelerate workloads or reduce the amount of data that were actually stored. It's a unique offer. We're really the only vendor in the marketplace today that allows our customer to choose the kind of appliance they would like to use. Those same building blocks, enfold into our UCS Solid State Systems technology, become what we refer to as silicon nodes. The customer can choose one or the other, or they can actually combine them under the same architecture. Of course what you can see here are the performance and capacity characteristics.
- When we combine it all together, what we adopt with here is a Scale Up/Scale Out architecture. You can start as little as pair of routers and a pair of nodes. If you decide that you need to drive more throughputs to the nodes, you can add more routers. If you decide that you would like to add more performance and capacity, you can add more nodes. Every time you add a node, you're adding CPU, memory, operating system, independently managed function, and most importantly, flash management. This is what sets us apart from many of our competitors.
- The INFINITY architecture, when broken out, looks like this. We have a switched fabric located at the top, and acceleration or data reduction nodes at the bottom. You can scale multiple routers and multiple nodes in a variety of combinations.
- In terms of laying out how our products sort of stack in terms of features, what you'll notice is that most of them have the same features, except when we get into UCS Solid State Systems and Scale Up/Out architecture, you'll notice that there are a couple of additions. We can provide things such as mirroring. When you move over to INFINITY, we actually have this switch fabric, and that's what allows you to scale to the increased number of routers and an even greater number of nodes. This is what allows an organization to really bring all of their applications, if you will, into our platform regardless of what needs data reduction or IO and throughput.
- Cells on Chips, Chips on Drives – 960 GB max on ours right now…. Google flash cell diagrams for ideas - MLC It sure doesn’t look like a hard drive, so why treat it like one? Flash stores its data by trapping electrons into the floating gate. Each time it does this, it weakens the cell. Thus some careful management techniques need to be employed to reduce the amount of wear we place on the media. In addition, once a cell is programed it cannot be reprogrammed again until it is FLASH erased back to a clean state. Making matters worse, these cells are not independently erasable. Due to packaging constraints you must ERASE large blocks at a time. This unfortunately takes TIME (MS).
- Labs Deck Slides, and then Symbols slide from the sales deck next
- Symmetrical I/O occurs because we take random data and we actually make it sequential. By making it sequential, you make it highly efficient for flash. A few things occur. We can write to the media very, very quickly while protecting it. We also reduce what's referred to as wear on the media because we're not really allowing the flash itself to be involved and determining how that information will be written. We handle all of that. Many of our competitors don't directly manage the flash. They allow the actual local flash media to make all kinds of decisions about how the data should be applied, which is not very efficient at all.
- Here is what we built UCS to do Customers told us: they were struggling to apply flash/solid-state technology in the environment Data Acceleration Layer for Applications Address scale of new data sets Address new velocity requirements Manage as a System Simplify infrastructure to drive TCO Multi-Workload / Multi-Tenant Flexibility
- Pooled Resource Deterministic performance Operational Efficiency