Red Hat Software Defined Storage
Download as PPTX, PDF0 likes416 views
The document discusses Red Hat software-defined storage which uses standard hardware and software instead of proprietary appliances to provide scalable, flexible storage services at a lower cost. It highlights how software-defined storage differs from traditional storage approaches by using scale-out architectures and software-based intelligence rather than hardware-based solutions. Examples of using Red Hat storage include OpenStack, object storage, virtual machines, containers, and converged Red Hat Enterprise Virtualization and Gluster storage.
Ad
More Related Content
What's hot (20)
Viewers also liked (20)
Ad
Similar to Red Hat Software Defined Storage (20)
Ad
More from DLT Solutions (20)
Recently uploaded (20)
![Download Wondershare Filmora Crack [2025] With Latest](https://cdn.slidesharecdn.com/ss_thumbnails/neo4j-howkgsareshapingthefutureofgenerativeaiatawssummitlondonapril2024-240426125209-2d9db05d-250419-250428115407-a04afffa-thumbnail.jpg?width=560&fit=bounds)
![Get & Download Wondershare Filmora Crack Latest [2025]](https://cdn.slidesharecdn.com/ss_thumbnails/revolutionizingresidentialwi-fi-250422112639-60fb726f-250429170801-59e1b240-thumbnail.jpg?width=560&fit=bounds)
Red Hat Software Defined Storage
- 1. RED HAT SOFTWARE-DEFINED STORAGE Dave Gordon July, 2016
- 2. Web, mobile, social media, cloud Our digital assets have grown due to web scale services like Facebook, YouTube, and Netflix. Rich Media/Geospatial A staggering amount of content is created during today’s optimized production processes. Medical/Bio-Informatics Healthcare and research needs are vast, and regulatory requirements can be demanding. Big Data/Analytics/IOT/SPLUNK Rapid growth of video on-demand has resulted in 50% of households using this service. THE DATA EXPLOSION IN PS
- 3. DATA STORAGE “SHORTFALL” Data stores are growing exponentially, while IT budgets are not HDDs are becoming more dense, but $/GB decline is slowing Software and hardware advances are needed to close the gap GROWTH OF DATA IT STORAGE BUDGETS 20202010
- 4. WHAT DO WE DO WITH ALL THAT DATA TODAY?
- 5. PROPRIETARY APPLIANCES Complexity hidden from end users, along with flexibility Vendor lock-in leads to pricing premium Price premium over constituent components is difficult to sustain THE TRADITIONAL APPROACH TO STORAGE ADMIN S MANAGEMENT INTERFACE DATA NFS/SMB/ISCSI ENDPOINTS STANDARD SERVERS AND MEDIA PROPRIETARY SOFTWARE
- 6. PUBLIC CLOUD STORAGE Complexity still hidden from end users, pay-as-you-go pricing Fastest-growing segment of IT storage budgets Mostly built with proprietary software (Linux below, “secret sauce” above) CONVENIENT STORAGE AS A SERVICE ADMIN S MANAGEMENT INTERFACE DATA CLOUD STORAGE APIS STANDARD SERVERS AND MEDIA LINUX + PROPRIETARY SOFTWARE
- 8. Server-Based Storage WHAT IS SOFTWARE-DEFINED STORAGE? Storage Orchestration
- 9. Server-Based Storage WHAT IS SOFTWARE-DEFINED STORAGE?
- 10. Server-based storage is the use of software and standard hardware to provide services traditionally provided by single-purpose storage systems. SERVER-BASED STORAGE
- 11. Server-based storage is the use of software and standard hardware to provide services traditionally provided by single-purpose storage systems. SERVER-BASED STORAGE
- 12. VIRTUALIZED STORAGE SCALES BETTER
- 13. VIRTUALIZED STORAGE SCALES BETTER
- 14. Changing workloads drive the need for flexible server-based storage. Storage in the enterprise has been growing at 40%+ per year. Share of storage deployed in servers grew 20%+ between 2010 and 2016. SAN/NAS IS ON THE DECLINE 2010 2011 2012 2013 2014 2015 (est) 2016 (est) 0% 60% 20% 40% 80% 100% Internal CapacityExternal Capacity WW DEPLOYED CAPACITY (TB) Source: IDC
- 15. Storage Orchestration WHAT IS SOFTWARE-DEFINED STORAGE?
- 16. Storage orchestration is the ability to provision, grow, shrink, and decommission storage resources on-demand and programmatically. Web Console API Command Line A browser interface designed for managing distributed storage A full API for automation and integration with outside systems A robust, scripable command-line interface for expert operators Full lifecycle management for distributed, software-defined data services Provision Install Configure Tune Monitor STORAGE ORCHESTRATION
- 17. WHY DOES SOFTWARE- DEFINED STORAGE MATTER?
- 18. PROPRIETARY HARDWARE Common, off-the-shelf hardware Lower cost, standardized supply chain FOUR IMPORTANT DIFFERENCES
- 19. INDUSTRY STANDARD X86 HARDWARE X86 Standardization makes storage more convenient and less expensive Users can build a cluster using standard hardware from existing vendors that’s perfect for their workload. • Clusters can be performance-optimized, capacity-optimized, or throughput-optimized. • Need capacity? Add more disks. Too slow? Add more servers. • Clusters can become larger or smaller with no downtime. • 50% or greater savings on proprietary solutions i.e. Isilon
- 20. PROPRIETARY HARDWARE SCALE-UP ARCHITECTURE Common, off-the-shelf hardware Scale-out architecture Lower cost, standardized supply chain Increased operational flexibility FOUR IMPORTANT DIFFERENCES
- 21. SCALE-OUT PERFORMANCE Performance should scale as capacity does Software-defined storage intelligently uses hardware to provide performance at very large scale. • Traditional appliances perform better when they are empty than they do when they are full of disks. • Performance in software-defined storage clusters improves as clusters get larger, not the other way around. • Software-defined storage systems can take advantage of flash technologies from a variety of vendors.
- 22. PROPRIETARY HARDWARE SCALE-UP ARCHITECTURE HARDWARE-BASED INTELLIGENCE Common, off-the-shelf hardware Scale-out architecture Software-based intelligence Lower cost, standardized supply chain Increased operational flexibility More programmability, agility, and control FOUR IMPORTANT DIFFERENCES
- 23. THE ROBUSTNESS OF SOFTWARE Software is more flexible than hardware Software can do things hardware appliances can’t. SDS brings the flexibility of software to the enterprise storage world. • Can be deployed on bare metal, inside containers, inside VMs, or in the public cloud. • Can deploy on a single server, or thousands, and can be upgraded and reconfigured on the fly. • Grows and shrinks programmatically to meet changing demands in modern cloud-like computing environments
- 24. PROPRIETARY HARDWARE SCALE-UP ARCHITECTURE HARDWARE-BASED INTELLIGENCE CLOSED DEVELOPMENT PROCESS Common, off-the-shelf hardware Scale-out architecture Software-based intelligence Open development process Lower cost, standardized supply chain Increased operational flexibility More programmability, agility, and control More flexible, well-integrated technology FOUR IMPORTANT DIFFERENCES
- 25. WHAT CAN IT BE USED FOR?
- 26. STRENGTH: MASSIVELY DISTRIBUTES DATA
- 27. Allows for instantaneous parallel creation of VMs at massive scale Integrates easily and tightly with OpenStack Cinder, Glance, Nova, Keystone, and Manila Offers instant backup capabilities Provides persistent object, file, and database storage for applications Current Dell Reference Architecture SOLUTION: OPENSTACK https://pnt.redhat.com/pnt/p-847007/dellredhatcloudsolutions.pdf
- 28. STRENGTH: GROWS TO PETABYTE SCALE
- 29. SOLUTION: OBJECT STORAGE Stores unstructured data at web scale, using standard hardware Works with industry-standard APIs for a wide range of application compatibility Spans multiple geographical regions with no single point of failure Matches the distributed architecture of software-defined storage
- 30. STRENGTH: WORKS IN LOTS OF PLACES HOSTS VIRTUAL MACHINES PRIVATE CLOUD CONTAINERSPUBLIC CLOUD HYBRID CLOUD
- 31. SOLUTION: CONVERGED RHEV AND GLUSTER RHEV and storage can co-exist on the same hardware Allows for higher server utilization and lowers operational costs Storage generates only 3%–10% overhead on converged servers & RHEV
- 32. SOLUTION: CONTAINERS Offers persistent storage to applications running in containers Applications and storage can co-exist on the same hardware Allows for higher server utilization and lowers operational costs Storage generates only 3%–10% overhead on converged servers
- 34. Gluster management Ceph data service Gluster data service Ceph management OPENSOURCE SOFTWARE STANDARD HARDWARE Share-nothing, scale-out architecture provides durability and adapts to changing demands Self-managing and self-healing features reduce operational overhead Standards-based interfaces and full APIs ease integration with applications and systems Supported by the experts at Red Hat RED HAT STORAGE
- 35. RED HAT LOVES STORAGE PHYSICAL VIRTUAL PRIVATE CLOUD CONTAINERS PUBLIC CLOUD
- 36. Splunk This is an excellent use case for Gluster • We supply a less expensive storage layer for cold storage • There is a reference architecture and Splunk has the application awareness that enables this tiering • This allows more data to be kept for longer and allows better analytics • This also increases margins in Splunk solutions by using more cost effective software defined storage using x86 • August Schell has a large Splunk practice. I will be meeting them next week to kick off our combined effort • Printed literature for Red Hat & Splunk is in Bob Buckley’s cube
- 37. Dave Gordon- Red Hat PS Storage SSP [email protected] C 540-589-0960 Bob Buckley- Red Hat PS Storage SA [email protected] W 571-421-8160 Red Hat Storage Resources Jason Erickson- DLT Sr. Sales Rep [email protected] Direct 703-773-8975