Why Software Defined Storage is Critical for Your IT Strategy
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The document discusses how software-defined storage is critical for IT strategies as data centers evolve. It describes how development models, application architectures, deployment methods, and infrastructure like storage have changed over time. These changes include trends like virtualization, containers, hybrid cloud, and software-defined storage. The document then provides examples of Red Hat's storage portfolio and solutions to address different workload types and industry use cases.
Why Software Defined Storage is Critical for Your IT Strategy
- 1. October 4, 2016 | Jakarta, ASEAN
- 2. WHY SOFTWARE-DEFINED STORAGE IS CRITICAL FOR YOUR IT STRATEGY Rahul Vijayan Senior Solutions Architect, ASEAN, Red Hat
- 4. Development Model Application Architecture Deployment & Packaging Application Infrastructure Storage Waterfall Agile DevOps Monolithic N-tier Microservices Virtual Services Containers Bare Metal Hosted Hybrid Cloud Data Center Scale Out Software-Defined Storage Scale Up DATA CENTER EVOLUTION
- 5. Development Model Application Architecture Deployment & Packaging Application Infrastructure Storage Waterfall Agile DevOps Monolithic N-tier Microservices Virtual Services Containers Bare Metal Hosted Hybrid Cloud Data Center Scale Out Software-Defined Storage Scale Up DATA CENTER EVOLUTION
- 6. Development Model Application Architecture Deployment & Packaging Application Infrastructure Storage Waterfall Agile DevOps Monolithic N-tier Microservices Virtual Services Containers Bare Metal Hosted Hybrid Cloud Data Center Scale Out Software-Defined Storage Scale Up DATA CENTER EVOLUTION
- 7. Development Model Application Architecture Deployment & Packaging Application Infrastructure Storage Waterfall Agile DevOps Monolithic N-tier Microservices Virtual Services Containers Bare Metal Hosted Hybrid Cloud Data Center Scale Out Software-Defined Storage Scale Up DATA CENTER EVOLUTION
- 8. Development Model Application Architecture Deployment & Packaging Application Infrastructure Storage Waterfall Agile DevOps Monolithic N-tier Microservices Virtual Services Containers Bare Metal Hosted Hybrid Cloud Data Center Scale Out Software-Defined Storage Scale Up DATA CENTER EVOLUTION
- 9. EVOLUTION Virtualize KVM RHV RHV-S (Hyper-Converged) ITaaS OpenStack Ansible Cloud Forms DevOps Containers OpenShift Hybrid Cloud Software Defined Storage
- 10. BI-MODAL
- 11. HYPERVISOR OS APP OS APP OS APP Backup OS APP SWIFT REST OBJECT APP CON OS OS OS APP CON APP CON APP CON APP CON APP CON iSCSI FILE NFS MODE 1 MODE 2 SVR SVR SVR NFS NFS SVR SVR SVR NFS NFS NFS FILE SDS CIFS NFS OSP KVM OS APP OS SVR SVR OS APP APP CLOUD FORMS / ANSIBLE – Dashboard, Self-Service, Config Management, Automation, Orchestration RHV-S SDS RDB OBJECT iSCSI FILE NFS CINDER
- 13. RED HAT STORAGE PORTFOLIO PHYSICAL VIRTUAL PRIVATE CLOUD CONTAINERS PUBLIC CLOUD
- 14. Red Hat Enterprise Linux + KVM o Basic KVM hypervisor. o No centralized management. o Max 4 VMs per host. o No enterprise features. Red Hat Virtualization o Centralized management for KVM, compute, network, storage. o Unlimited VMs per host. o Enterprise features: HA, DR, Live Migration. WHAT IS RED HAT VIRTUALIZATION?
- 15. QUMRANET ACQUISITION 2009 2012 2014 2016 2010 2013 2015 RHEV BEATS VMWARE on the SPECvirt_sc2010 benchmark on both speed and scale RHEV 3.0 More solution partners RESTful API Memory overcommit RHEV 3.1, 3.2 Windows guests NUMA collaboration with HP RHEV 3.3, 3.4 OpenStack Neutron integration Hot Plug CPU Affinity management IBM Power support RHEV 3.5 Integration with Red Hat Satellite RHV 4.0 10th product release RHEV 3.6 v-2-v tool, Migrate workloads directly from vSphere into RHEV_M RED HAT VIRTUALIZATION MILESTONES
- 16. RED HAT VIRTUALIZATION CUSTOMERS
- 17. o Software only with Reference Architecture and deployment tool (L.A.) o 3-node POD with 3-way replica, Self- Hosted Engine o Ansible based gdeploy tool (RHGS 3.1.3) o Red Hat Directory Services o Native File Server Capabilities o Consolidated Backup to Central DC RED HAT VIRTUALIZATION-S HYPER-CONVERGED
- 18. RED HAT VIRTUALIZATION-S Component Small Medium Large Server Chassis 2u 2u 3u CPU 2 x 6c - e5 2630 v2 2 x 6c - E5-2620 v3 2 x 8c - E5-2630 v3 RAM 64 128 256 Network 2 x 10Gb, 1 x 1Gb, 1 x IPMI 2 x 10Gb, 1 x 1Gb, 1 x IPMI 2 x 10Gb, 2 x 1Gb, 1 x IPMI RAID RAID-6, FBWC, 1GB RAID-6, FBWC, 1GB RAID-6, FBWC, 2GB HDD’s 8 - 6+2 12 - 8+2, 1-2HS 16 - 10+2, 1-4HS HDD Type 3.5” SAS 7K 3.5” SAS 7K 3.5” SAS 7K SSD/NVMe (optional) 1-2 1-2 1-2 Usable Capacity 12TB - 48TB 16TB - 64TB 20TB - 80TB
- 19. o Modular IaaS Architecture o Easily scale-out o 1,000's → 10,000's → 100k's of VMs o Automation, Orchestration, Provisioning o Public cloud-like capabilities for datacenter o Removes vendor lock-in WHAT IS OPENSTACK?
- 21. CEPH & OPENSTACK HYPER-CONVERGED Server #1 KVM Hypervisor Nova Compute Cinder Volume Server #2 KVM Hypervisor Nova Compute Cinder Volume Server #3 KVM Hypervisor Nova Compute Cinder Volume Server #N KVM Hypervisor Nova Compute Cinder Volume o 64TB Ceph included o Cloud Forms included o Backup snapshots o Scaled API – Cinder backup decoupled from Cinder volume o Volume Replication API o CephFS native driver - manila RED HAT CLOUD FORMS RED HAT CEPH
- 22. Workload IO Profiles Workload Examples Searchable Examples Workload IO Characteristics Hardware Characteristics IOPS • MySQL • MariaDB • PostgreSQL • Medallia • High IOPS/GB • Low latency • Compute servers • 10GbE • NVMe SSD Balanced/Throughp ut • Digital media serving • Server virtualization (OpenStack Cinder) • Bloomberg • Target • Walmart • Facebook • High MB/s • Larger sequential IO • Storage servers • 10GbE to 40GbE • HDD/SSD Capacity-Archive • Digital media archive • Object archive • Big Data archive • Yahoo • CERN • Low cost/GB • Sequential IO • 90/10 write/read mix • Dense storage servers • 40GbE • HDD CEPH CUSTOMER EXAMPLES
- 23. CONTAINERS (WHAT) o Offers persistent storage to applications running in containers o Applications and storage can co-exist on the same hardware o Allows for higher server utilization and lowers operational costs o Storage generates only 3%–10% overhead on converged servers
- 24. CONTAINER-CONVERGED - APLO CONTAINER NGINIX CONTAINER MASTER Node 2 Node 3 Node 1 Node 4 NGINIX CONTAINER POSTGRES CONTAINER Deploys storage alongside applications in containers Lowers TCO by increasing utilization of resources Unifies container and storage orchestration Allows for rapid adjustments to compute/storage ratio
- 25. IO Profile IOPS 4K 100% Random Read 1.35 Million 4K 100% Random Reads 1.15 Million 4K 100% Random Write 200K 4K 70% / 30% Read/Write OLTP Mix 452K 5* SuperMicro servers Each with 4 NVMe cards 72 cores , 128 GB RAM PERFORMANCE NUMBERS IO Profile IOPS 4K Random read 1.1 Million 64K Random read 198K 256K Random read 25.9K 4K Random write 54K Single IF100 8 OSD nodes 8 * 64 TB OSD's
- 26. 0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 RGT-200(SF) RGT-200(LF) RGT-400(LF) RGC-200 RGC-400 $ per GB per month Premium Premium + QCT Standard Standard + QCT AWS Isilon VNX STORAGE ECONOMICS QCT: 3 year basic warranty, ex freight and tax.
- 27. Backup VOD Digitization Medical Records Active Archives Sync and Share Surveillance Photos DB Dumps GENERIC WORKLOADS
- 33. CCTV SOLUTION Monitoring Stations IP Cameras Video Management Server Remote MonitoringRemote Sites Off-Site Replica
- 36. BROADCAST SOLUTION Satellite Content Delivery Server Rendering, Compositing, Transcoding Mobile IPTV WAN Auto Tiering Playout Servers Content Creation and Editing Remote Branches Content Ingestion Cloud Digital TV Workflow Content Distribution
- 38. Point 1 on Red Hat Consulting… Point 2 on Red Hat Partners… VIRTUALIZATION. KVM. RHV. OPENSTACK. NFV. STORAGE. CONTAINERS. DEVOPS. RED HAT CONSULTING & PARTNERS DISCOVERY SESSIONS WORKSHOPS IMPLEMENTATION Establish a unified culture and strategy Construct environments and development pipelines Design microservices and containerized applications Establish and adapt security, compliance, scaling and monitoring standards Improve operational efficiency, scalability and flexibility partner.redhat.com