Software Defined Datacenter – from Vision to Solution Gorazd Šemrov Datacenter Solution Architect Microsoft WW Modern Datacenter Center of Excellence

Session Takeaways Understanding what is Software defined Datacenter and what are the benefits that can bring to the business. Vision of Software Defined Datacenter and how Datacenter future looks like. How Software Defined Datacenter will change your jobs. Understanding technical details and concepts of solution by example.

Agenda Introduction – WHAT? Vision – WHY? Solution – HOW? Definition of Software Defined Datacenter (SDD) What are the components of the SDD What are the goals of SDD Vision – WHY? What is Infrastructure Vision and why you should care about What are the benefits of SDD Solution – HOW? Software Defined Storage Software Defined Networking Q/A and Open Discussion

What is Software Defined Datacenter?

What defines SDD? Abstraction Instrumentation Automation Orchestration Decoupling of a resource from the consumer of the resource (also commonly referred to as virtualization when talking about compute resources). This is a powerful foundation as the virtualization of these resources should enable us to define ‘models’ of infrastructure elements that can be managed without requiring management of every element individually. Instrumentation Opening up of the decoupled infrastructure elements with programmatic interfaces (typically XML-based RESTful APIs). Automation Using these APIs, wiring up the exposed elements using scripts and other automation tools to remove “human middleware” from the equation. This is an area where traditional information security tools are woefully inadequate. Orchestration Beyond script-based automation, automating the provisioning of data center infrastructure through linkages to policy-driven orchestration systems where the provisioning of compute, networking, storage, security and so on is driven by business policies such as SLAs, compliance, cost and availability. This is where infrastructure meets the business.

What are the goals of SDD? Agility Speed to respond human middleware, speeding the ability of infrastructure to be provisioned. Adaptability Ability to change infrastructure usage to dynamic meet dynamically changing requirements and changing context – such as location, sensitivity of the data being handled and so on. Also ability to adapt to changes in the infrastructure elements underneath without changing the models being managed (new hardware, new vendors, etc.) Accuracy By removing the human middleware component, reducing the chance for misconfiguration and mistakes by making infrastructure “programmable” and tying this into automation systems. Assurance Confidence that what is deployed accurately meets your policy and compliance requirements

Why should you care about Software Defined Datacenter?

Infrastructure-as-a-Service Vision Dramatically lowering the costs and effort of delivering Infrastructure services Turn key solutions. Disaggregated compute, storage and network Independent manage and scale at each layer Industry standard servers, networking and storage Inexpensive networks Inexpensive shared JBOD storage Commodity hardware Compute Clusters SMB Scale-Out File Server Clusters Storage Spaces Virtualization and Resiliency Shared JBOD Storage

Impact to the business

How should I implement Software Defined Datacenter?

Steps to building cloud solution Tools are not capabilities or skills Prioritize stack integration over high end features… whatever you don't buy, you'll end up building, and supporting You will need more skills not less… Prioritize PEOPLE A lot more Statistics, Quality Assurance, Service Definition and Business Architecture is a good thing Extreme Standardization Step 1 Base lining / Health Management Step 2 SLA Service Management Step 3 Process Engineering & Pre-Production Step 4 Automation & Orchestration Step 5 Change Control Step 6 Self Service Step 7 Quality Configuration Units Design for catastrophe Agree on service delivered Quality Assurance Pre production Automate best practices Build a consistent quality delivery cycle Provisioning & service level portal

Product Line Architectures Deployment models Unsupported Design Custom Design Recommended Practices Product Line Architectures Office 365 / Azure (Public Cloud) Supported Complexity Recommended Cost Structured Standardized

Software Defined Compute – Hyper-V Virtualized compute, memory, devices Isolation of tenants Containerized storage (VHDX) QOS limits on networking, storage Live migration Transparent servicing of hardware Dynamically load balance compute Host based backup and replication Comprehensive automation – pervasive powershell support

Software Defined Networking - NVGRE Network resources are carved out from a common pool Seamless migration to the cloud Move n-tier topology to the cloud Preserve policies, VM settings, IP addresses Automated resource deployment with flexibility to place VMs across any cloud Private Cloud datacenter consolidation and efficiencies Extension of datacenter into hybrid cloud Incremental integration of acquired company network infrastructure Technology Investments Hyper-V Switch as the policy edge Hyper-V Network Virtualization for tenant network overlays Multi-tenant gateways for hybrid connectivity Automated physical switch management with OMI and Powershell SCVMM and Windows Azure Pack for automation

Software Defined Storage – Scale Out File Server Build upon “dumb storage” Mix of HDD and SSD housed in JBOD Multiple JBODs Multi-path IO to JBODs/disks Software virtualizes, makes reliable, continuously available Storage Pools Storage Spaces (mirrored, parity) Write Back Cache Tiered storage (SSD/HDD) Volume Snapshots Clustered Storage (CSVFS) Continuously Available Storage (SMB3) Storage Migration

SDS design