Planning for Converged Infrastructure Performance, Capacity and Management Peter Dyer – Product Manager

Why am I here? Alex couldn’t be here Building software for the datacenter for more than 15 years Focused on virtualization for the past 8 years Worked on a tool called PlateSpin Recon – one of the first virtualization consolidation/capacity planning tools Working with up.time customers to define the future of our product, including addressing management and capacity planning challenges in the modern datacenter

Definition – Converged Infrastructure Grouping of multiple components: server (compute), storage, networking and management software in a single, optimized computing package + + = or

Fabic Based (Hyperconverged) Two approaches Integrated Systems Fabic Based (Hyperconverged) (older, scale up) (newer, scale out)

Subcategories (Gartner) – Integrated Systems (Converged Infrastructure) Integrated stack systems (ISS) – server, storage and network with application software Simplified: really big server (one application) Integrated infrastructure systems (IIS) – server, storage and network to provide compute infrastructure Simplified: private cloud Fabric-based computing (FBC) – server, storage and network together in an integrated system designed to be building blocks Simplified: private cloud building blocks

Integrated stack systems (ISS) Examples: Oracle Exadata, IBM PureApplication, Teradata

Integrated infrastructure systems (IIS) Examples: VCE Vblock (VMware, Cisco, EMC), HP ConvergedSystem, IBM PureFlex, Cisco-NetApp FlexPod

Fabric-based computing (FBC) / Hyperconverged Infrastructure Examples: SimpliVity, Nutanix, HP Moonshot

Demand and Supply Integrated Systems Fabric-based

Under the covers Integrated systems Fabric-based Existing technology Reference architecture Pre-configured Tested Fabric-based New technology Existing parts

The History of Fabric-based Converged Infrastructure Google

Key use cases Private cloud Virtual desktops Applications Greenfield Traditional data driven: Oracle, SAP, etc Big data: Hadoop, etc Greenfield

Business Drivers Improved performance Lower operating costs Simplified support Faster deployment Simplified sourcing

Market Gartner estimates MarketsandMarkets Converged infrastructure (Integrated systems) 2014: $6B 2014: 50% growth rate Total hardware market: $80B MarketsandMarkets Converged Infrastructure $33.89B by 2019

Systems Management Good news Bad news Workloads are not changing Operating systems and applications just see (virtual) hardware Hypervisor is not changing But there are more (new) parts Bad news Hardware is changing, and access to physical hardware is changing

Not isolated Converged infrastructure Private cloud Software-defined data center

Not isolated Converged infrastructure Private cloud Software-defined data center

Software-Defined Data Center Storage Networking VMware vSANs vVols Microsoft Storage spaces EMC ScaleIO VMware NSX Microsoft Hyper-V Network Virtualization (HNV) Cisco Extensible Network Controller (XNC) VMware EVO (Rail & Rack)

Software-Defined Storage (SDS) Pool of disks treated as one disk resource Local disk VMware vSAN Microsoft Storage Spaces Fabric-based (Hyperconverged) solutions External disk (NAS, JBOD, etc) VMware vVols Goals Lower costs Easier to scale Easy management (eliminates hardware RAID and proprietary SAN operating systems)

Storage is evolving (sort of) Capacity is ever increasing, IOPS sort of IOPS is king (or at least very important) Mixing of different types of storage – fast tier Dynamic tiering Caching Replication Data protection

Software-Defined Networking (SDN) Moving switch management from the physical port to software that follows the VM (workload) Goals Lower costs Easy management Better security (egg)

The Software-Defined Challenge Who knows the truth It used to be the operating system – it isn’t any more

The Old Days Application

The Old Days (monitored) Application

…along comes SAN Application

…then comes virtualization VM VM VM VM VM Application Hypervisor

…software-defined data center SDN VM VM VM VM VM Application Hypervisor SDS

…Public Cloud SDN VM VM VM VM VM VM Application Hypervisor SDS

…monitoring SDN VM VM VM VM VM VM Application Hypervisor SDS

The New Way Tradeoff Good Bad Time to provision new systems (agility) – decreased dramatically Cost per system – decreased dramatically Bad Cost to manage new systems – increased dramatically Number of systems – increased dramatically

Not isolated Converged infrastructure Private cloud Software-defined data center

Private Cloud Defined Shared pool of computing resources inside a corporate firewall Characteristics Easy, fast provisioning / access to resources Used by many departments / groups Used for a wide variety of use cases Buzz words: agile, automated

Cloud Capacity Challenge Are people using the resources they have requested? Generally, no they are not

Strategies to address challenge Show costs upfront at time of provisioned Chargeback Show-back Shame-back Lease only (must be renewed) Overprovision

Not isolated Converged infrastructure Private cloud Software-defined data center

Capacity Planning Challenge Limited ability to isolate capacity and performance to discrete elements CPU, memory, disk (fast and slow) purchased together

vBlock example (small and simple)

Related challenge Fast and slow disk

vBlock example (small and simple)

Nutanix

Simplivity Omnicube

Wrap Up

Questions What type of converged infrastructure is being deployed? What is it being used for? How easy is it to add capacity? How much capacity must be purchased? How much lead time is required? Can capacity be optimized across compute and storage? What is the maximum workload size that needs to be supported?

Takeaways Converged Infrastructure doesn’t exist in isolation – Software-defined data center Use case (ie Private Cloud, VDI, etc) Software-defined data center introduces “source of truth” management challenge Private Cloud introduces capacity challenges Converged Infrastructure introduces capacity challenges

Thank you. Map Dashboard Capacity Dashboard Topology Dashboard peter.dyer@uptimesoftware.com Global Scan Resource Scan