PLANNING FOR CONVERGED INFRASTRUCTURE Performance Capacity and Management

PLANNING FOR CONVERGED INFRASTRUCTURE Performance, Capacity and Management Peter Dyer – Product Manager www. uptimesoftware. com

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 Plate. Spin 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 www. uptimesoftware. com

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

Two approaches Integrated Systems Fabic Based (Hyperconverged) (newer, scale out) (older, scale up) www. uptimesoftware. com

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 www. uptimesoftware. com

Integrated stack systems (ISS) Examples: Oracle Exadata, IBM Pure. Application, Teradata www. uptimesoftware. com

Integrated infrastructure systems (IIS) Examples: VCE Vblock (VMware, Cisco, EMC), HP Converged. System, IBM Pure. Flex, Cisco-Net. App Flex. Pod www. uptimesoftware. com

Fabric-based computing (FBC) / Hyperconverged Infrastructure Examples: Simpli. Vity, Nutanix, HP Moonshot www. uptimesoftware. com

Demand Supply Integrated Systems www. uptimesoftware. com Fabric-based www. uptimesoftware. com

Under the covers • Integrated systems – – Existing technology Reference architecture Pre-configured Tested • Fabric-based – New technology – Existing parts www. uptimesoftware. com

The History of Fabric-based Converged Infrastructure Google www. uptimesoftware. com

Key use cases • Private cloud • Virtual desktops • Applications – Traditional data driven: Oracle, SAP, etc – Big data: Hadoop, etc • Greenfield www. uptimesoftware. com

Business Drivers • • • Improved performance Lower operating costs Simplified support Faster deployment Simplified sourcing www. uptimesoftware. com

Market • Gartner estimates – Converged infrastructure (Integrated systems) • 2014: $6 B • 2014: 50% growth rate – Total hardware market: $80 B • Marketsand. Markets – Converged Infrastructure • $33. 89 B by 2019 www. uptimesoftware. com

Systems Management • Good 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 www. uptimesoftware. com

Not isolated Converged infrastructure Private cloud www. uptimesoftware. com Software-defined data center

Not isolated Converged infrastructure Private cloud www. uptimesoftware. com Software-defined data center

Software-Defined Data Center Storage • VMware – v. SANs – v. Vols • Microsoft – Storage spaces • EMC – Scale. IO Networking • VMware – NSX • Microsoft – Hyper-V Network Virtualization (HNV) • Cisco – Extensible Network Controller (XNC) • VMware – EVO (Rail & Rack) www. uptimesoftware. com

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

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 www. uptimesoftware. com

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) www. uptimesoftware. com

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

The Old Days Application www. uptimesoftware. com

The Old Days (monitored) Application www. uptimesoftware. com

…along comes SAN Application www. uptimesoftware. com

…then comes virtualization Application VM VM VM Hypervisor www. uptimesoftware. com VM VM

…software-defined data center SDN Application VM VM VM Hypervisor www. uptimesoftware. com VM VM SDS

…Public Cloud SDN Application VM VM VM Hypervisor www. uptimesoftware. com VM VM VM SDS

…monitoring SDN Application VM VM VM Hypervisor www. uptimesoftware. com VM VM VM SDS

The New Way Tradeoff • Good – 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 www. uptimesoftware. com

Not isolated Converged infrastructure Private cloud www. uptimesoftware. com 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 www. uptimesoftware. com

Cloud Capacity Challenge • Are people using the resources they have requested? – Generally, no they are not www. uptimesoftware. com

Strategies to address challenge • Show costs upfront at time of provisioned • Chargeback – Show-back • Shame-back • Lease only (must be renewed) • Overprovision www. uptimesoftware. com

Not isolated Converged infrastructure Private cloud www. uptimesoftware. com 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 www. uptimesoftware. com

v. Block example (small and simple) www. uptimesoftware. com

Related challenge • Fast and slow disk www. uptimesoftware. com

v. Block example (small and simple) www. uptimesoftware. com

Nutanix www. uptimesoftware. com

Simplivity Omnicube www. uptimesoftware. com

WRAP UP www. uptimesoftware. com

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? www. uptimesoftware. com

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 www. uptimesoftware. com

Map Dashboard Capacity Dashboard Topology Dashboard Thank you. peter. [email protected]. com Global Scan www. uptimesoftware. com Resource Scan