'Software-Defined Everything' Includes Storage and Data
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Is your data stuck where it started? Join us and industry analyst Jason Bloomberg this Tuesday, July 26 to discover how you can automate data mobility across your software-defined datacenter. If you’re like most enterprises, you’ve likely added the benefits of flash and cloud storage to your traditional infrastructure. This storage diversity delivers more choice in meeting performance, protection and cost requirements to support the different data needs of applications, but without a way to converge data across your different storage investments, it’s nearly impossible to align the right data to the right storage at the right time. Data virtualization is a software-defined solution that finally unites different storage systems into a global pool of resources so that even data can be part of your SDDC architecture from on-premise and into the cloud. In Tuesday’s webinar, Jason will provide insight on how the principle of Software-Defined Everything supports the business agility needs of today’s enterprises. He will also discuss the software-defined approach to championing agility by automatically aligning storage resources to evolving data demands through data virtualization and orchestration, even as business needs change. Following Jason’s talk, Primary Data Senior Systems Engineer Brett Arnott will cover how data orchestration ensures that data is automatically aligned to the right storage resource to deliver breakthrough agility and efficiency. Attendees will learn how data virtualization and orchestration helps enterprises not only develop a roadmap for their transition to software-defined storage and data, but also execute the move to automated, Objective-driven storage efficiency.
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'Software-Defined Everything' Includes Storage and Data
- 1. 'Software-Defined Everything' Includes Storage & Data Jason Bloomberg President [email protected] @theebizwizard
- 2. About Jason Bloomberg • President of industry analyst firm Intellyx • Latest book The Agile Architecture Revolution • Recently published the Agile Digital Transformation Roadmap poster Copyright © 2016, Intellyx, LLC2
- 3. The Roots of ‘Software Defined’ • Physical switches • Proprietary command line • Web-based configuration • Scriptable/API-driven configuration Copyright © 2016, Intellyx, LLC3 At the Device Level PhotoCredit:DonDeBoldhttps://www.flickr.com/photos/ddebold/ PhotoCredit:ajmexicohttps://www.flickr.com/photos/ajmexico/ PhotoCredit:TimothyVollmerhttps://www.flickr.com/photos/sixteenmilesofstring/
- 4. Software-Defined Systems • Scriptable/API-driven configuration at the system level • The three legs of the Cloud stool –Compute –Storage –Network Copyright © 2016, Intellyx, LLC4 Enabler of Virtualization PhotoCredit:MitchRobersonhttps://www.flickr.com/photos/10465474@N04/
- 5. Software-Defined Abstraction • Software-defined virtualization provides simplifying abstractions – Hide underlying complexity – Allow for change and variability – Essential for elastic scalability – Assemble (orchestrate) abstractions like Lego blocks Copyright © 2016, Intellyx, LLC5 The Key to Agility PhotoCredit:Antoniohttps://www.flickr.com/photos/antpaniagua/
- 6. The Third Leg of the Stool • Software-defined compute – Mature virtual machine technology – Containers are next generation • Software-defined network – Essential for public Cloud – Increasingly common in enterprise • Software-defined storage – Supports data virtualization & orchestration – Evolving enterprise data demands (big & small) Copyright © 2016, Intellyx, LLC6 PhotoCredit:MikeMozarthttps://www.flickr.com/photos/jeepersmedia/
- 7. Getting to Software-Defined Everything Copyright © 2016, Intellyx, LLC7 Storage Network Compute Abstracted Infrastructure Software- Defined Everything Fully Generic Hardware XaaS IoT Data Virtualization Containers Hybrid Scenarios
- 8. Jason Bloomberg President, Intellyx [email protected] @theebizwizard Download poster at AgileDigitalTransformation.com Send email NOW to [email protected] to download this presentation Thank You!
- 9. Software Defined Everything It’s Possible With Your Existing Storage
- 10. Agenda What is the Common Approach to Software Defined Storage? What is the Ideal Solution? (Demo Included) How Would the Ideal Solution Work? What Else Could the Ideal Solution Do? A Little About Primary Data Wrap Up Q&A
- 11. WHAT IS T HE COMMON APRO ACH T O DEF INED ST O RAG E?
- 12. PROMISES OF SOFTWARE DEFINED STORAGE AVOID wasted resources with policy based automation SCALE up and out quicker than traditional storage environments DECREASE costs by using commodity x86 hardware and by reducing manual effort
- 13. SDS (x86)SAN (BLOCK) CONTROL MANAGEMENT STORAGE NAS (FILE) CONTROL MANAGEMENT STORAGE CONTROL MANAGEMENT STORAGE NEW COMMON APPROACH TO SOFTWARE DEFINED STORAGE
- 14. WHAT IS T HE IDEAL SOLUTION?
- 15. LESS ABOUT COMMODITY HW, MORE ABOUT RESPONDING QUICKLY RESPOND quickly and automatically to meet those needs UNDERSTAND changing needs of applications and the business
- 16. YOU ARE HERE SAN (BLOCK) CONTROL MANAGEMENT STORAGE NAS (FILE) CONTROL MANAGEMENT STORAGE
- 17. StorageStorage What Is The Solution? SAN (BLOCK) NAS (FILE) CLOUD (OBJECT)COMMODITY X86 Data COMMERCIAL APPS DATABASE VIRTUAL MACHINES USER FILES
- 18. StorageStorage Storage Agnostic. Unlock and Virtualize Data. SAN (BLOCK) NAS (FILE) CLOUD (OBJECT)COMMODITY X86 Data COMMERCIAL APPS DATABASE VIRTUAL MACHINES USER FILES
- 19. StorageStorage Freedom to Choose The Right Storage Solution SAN (BLOCK) NAS (FILE) CLOUD (OBJECT)COMMODITY X86 Data COMMERCIAL APPS DATABASE VIRTUAL MACHINES USER FILES
- 20. Storage Meet The Needs of the Business SAN (BLOCK) NAS (FILE) CLOUD (OBJECT)COMMODITY X86 DATABASE VIRTUAL MACHINES USER FILES Storage Data DATABASE
- 21. D E M O
- 22. Demo Part 1 – Logical Storage Solution With NetApp & Isilon G L O B A L D A T A S P A C E Workstation Move Automatically Access Controlled COST T I M E / E F F O R T L O W C O S T / L O W E F F O R T
- 23. Demo Part 2 – Add Software Defined Storage & Move Data G L O B A L D A T A S P A C E Workstation Move Automatically Access Controlled COST T I M E / E F F O R T L O W C O S T / L O W E F F O R T COMMODITY X86 Add Storage
- 24. How Does the Solution Work?
- 25. Control and Management Functions are Tied to Each Storage Array DAS (x86)SAN (BLOCK) CONTROL MANAGEMENT STORAGE NAS (FILE) Which makes moving data across vendors difficult and costly CONTROL MANAGEMENT STORAGE CONTROL MANAGEMENT STORAGE
- 26. We Separate Control and Management from the Storage DAS (x86)SAN (BLOCK) NAS (FILE) CONTROL MANAGEMENT STORAGE STORAGE STORAGE
- 27. DataSphere Out-of-Band Control Channel How Does the Solution Work? GLOBAL DATASPACE ANY PROTOCOL ANY VENDOR Data Path COMMERCIAL APPS ANY STORAGE TYPE DATABASE ANY STORAGE TYPE VIRTUAL MACHINES ANY STORAGE TYPE USER FILES ANY STORAGE TYPE SAN (BLOCK) NAS (FILE) CLOUD (OBJECT)DAS (FLASH) CONTROL MANAGEMENT Smart Objectives Data Mobility Data Analytics
- 28. How Does the Solution Work? I need 20K IOPS and < 1ms latency, but I’m not getting it I can deliver 30K read IOPS and < 1ms latency GLOBAL DATASPACE SAN (BLOCK)DAS (FLASH) DATABASE Move Match
- 29. Data Awareness: Understanding Storage Capabilities
- 30. AUTOMATEDDATALIFECYCLEMANAGEMENT Data Awareness: Aware, Action, Impact A W A R E A C T I O N I M P A C T Know when data’s storage needs are not being met Move data to capable storage, without disrupting applications Business needs are met without downtime, additional cost or manual effort DATA’SACTUALSTORAGENEEDS Moving
- 31. Managing Data by Objectives through Data Awareness Bandwidth IOPS Latency Affordability Priority PERFORMANCE COST Availability Resiliency Recoverability Security Compliance = Actual - SLO PROTECTION TELEMETRY Read & Write Mapping Data To Storage Charge Back / Budget Planning / Rational Prioritization Tracking changing conditions DATA
- 32. What Else Can the Solution Do? Backup/DR Recovery Increase Performance Reduce Cost Capacity Load Balancing Reduce Cost Storage Upgrade Adopt New Technology S C A L E O U T D A T A L I F E C Y C L E M A N A G E M E N T D A T A P R O T E C T I O ND A T A M I G R A T I ON
- 33. Primary Data Executive Team DAVID FLYNN Chief Technology Officer & Co-Founder KAYCEE LAI SVP Sales & Products LANCE SMITH Chief Executive Officer 37 RICK WHITE Chief Marketing Officer & Co-Founder
- 34. Primary Data Solution S O F T W A R E D E F I N E D A R C H I T E C TU RE V I R T U A L M A C H I N E A P P L I A N C E DataSphere U N I V E R S A L C O N T R O L P L A N E Data Mobility Data Analytics Policy Engine E X T E N D E D D A T A S E R V I C E S D A T A P O R T A L - S W D A T A M O V E R - S W S H A R E A B L E D A S - S W
- 35. Wrap Up Attend Our Next Webinar – VM Data Lifecycle Management, 16th August (subject to change) Meet with us to discuss your situation, or get a deeper dive demonstration – email [email protected] View and download great resources from www.primarydata.com
- 36. Steve Wozniak Is Our Chief Scientist
- 37. Q & A