1. Intel Data Center Group: Enterprise Data Center Modernization
Lauren Robinette - Data Center Group
Date: April 2016
Version: v1
DCG Leadership Message
Title: “Intel Data Center Group: The Digital Service Economy Transformation” Classification level: Public Publication date: Dec 12th 2014; ~quarterly update cadence Format: ~25-30 minute ppt with narrative speaker notes
Audience: Industry analysts, tech and business press, organizational thought leaders (i.e., CxO)
Objective:
Establish criticality of data center to user experiences via the “Digital Service Economy”
Share Intel’s leadership in the data center and our key focus areas to improve IT operations
Establish consistent message framework and terminology for public Intel data center discussions
Key Messages:
Global shift to digital service economy increases pressure on data center driving the need for disruptive data center solutions
To deliver these solutions requires: workload optimized components, platforms designed for software defined infrastructure, SW orchestration of resource pools, and analytical and simulation tools to deliver new insights
Intel is the trusted partner who can do all four and has the vision and technical roadmap to drive the digital service economy

2. Modernization Agenda
“The data center is a living and breathing organism,” trends and journey to modernization of the data center
Where are you in your journey to modernization?
Legacy to Virtualization/Visibility
Software Defined Infrastructure – Easy to use
Analytics – IT supports LOB by being an asset to Big Data trends
Steps to take to modernize
Outline
“The data center is a living and breathing organism,” trends and journey to modernization of the data center
Where are you in your journey to modernization?
Legacy to Virtualization/Visibility
Software Defined Infrastructure – Easy to use
Analytics – IT supports LOB by being an asset to Big Data trends
Steps to take to modernize

3. Yesterday’s Data Center Focused on Technology
The Data Center Revolves Around HW/SW
Static Silos
Manual
Fixed Function
User-Inaccessible
Supports Rather Than Drives Business Innovation
MODELING
CRM
ERP
ONLINE SALES
NETWORK
COMPUTE
STORAGE
Yesterday’s data center is too stodgy, static, and stagnant to meet the diverse and changing demands of competitive business operations. Enterprise leaders are looking for efficient and cost-effective ways to keep up with the ever increasing connected devices and the experiences they offer.
The silo approach to data center architecture isolates the infrastructure components—compute, network, storage, apps, etc.—making it difficult for IT to quickly respond to new opportunities and new service deployments demanded by users and devices.
Siloed datacenters that don’t support balance across resources result in finger pointing: “Is it a network, storage or compute issue?” And, each team may not have the cross-silo or VM view and visibility to know what root cause is creating a particular effect on the datacenter. Manifesting issues instead of causes can point to incorrect diagnosis and delay resolution. Delay can impact business operations and profitability.
Lack of agility and responsiveness to opportunities hinders business innovation, which is needed to maintain business effectiveness, leverage opportunities, and retain a competitive edge.
A new approach—cloud architecture—is evolving to meet the demands of the digital service economy.

4. The Next Wave of Cloud: Enterprise Demand
By 2017, IT organizations will support “consumer tier” self service to their employees IDC
25%
Of IT budgets spent globally on Data Center Consolidation in 2015 (33% NA) Tech Target
40%
Cloud projects are the single most important technology initiatives right now and expected to cause the most disruption in the future, with the goal being to improve service and generate new revenue streams.
Computerworld Forecast Study 2015
Cloud architecture has matured to provide flexible, reliable service delivery that can be deployed quickly and cost effectively. Clouds are being deployed both by dedicated service providers (public) as well as used in a limited fashion inside of IT as private clouds, and in mixed public and private infrastructures to meet the services demands of enterprise IT.
With 50B connected devices by 2020, Intel estimates 65% to 85% of applications will be delivered via cloud infrastructures. A Computerworld study in 2015 revealed cloud projects as the most important technology initiative now, and cloud will cause the most disruption in the future to generate new services and revenue streams. 40 percent of global IT data center budgets is being spent on consolidation—the first step to modernization—according to Tech Target. By next year, 2017, a quarter of IT organizations will provide self-services to their employees through cloud infrastructures.
The writing is on the wall. Enterprise demand is the next wave of cloud. And that means that the role of the data center is changing.
With IT staff and resources being under constant scrutiny, the first order of business is for IT to drive a service orientation to internal clients. Investments throughout the ecosystem are making it easier to engage the cloud internally rather than turn to public clouds.
Intel is focused on enabling this innovation by taking away the remaining barriers to “Cloud in Enterprise,” where IT can take advantage of the enterprise data, software licensing, and security framework already available in the data center.
1. Sources: Cisco Internet Business Solutions Group, IDC: The Digital Universe Intel Estimate

5. Innovation Starts in the Data Center
and Fuels the Business
We talk a lot about new consumer devices or marvel at the ingenuity of a new app. But those devices and apps are nothing without the data center serving up content, making connections, and delivering services.
For example, take a look at smart phones. In 2014 there were ~1.9B smart phones in the world with an average of 26 apps loaded, each of which is estimated to connect to data centers ~20 times a day for information updates, user requests, or to be upgraded to the newest version. All of this adds up to over 1 trillion data center accesses every day.
As wearables and the internet of things increases the number of connections, data centers will handle more transactions that are more diverse across more kinds of devices than ever before.
For the innovative enterprise, new connections present new opportunities for revenue generation and services delivery as customers look to their devices. User interactions also add new sources of valuable data gathering that can lead to new insights for the business.
To leverage these opportunities, IT requires an infrastructure that enables it to respond quickly with capabilities that enable innovation. And it requires a leadership that sees the value of IT innovation.
A survey of top CIOs in 2014 by VAR Business indicated over 50% had made the “I” in CIO responsible for Innovation and SaaS based decisions. But enabling innovation and SaaS requires a modernized data center.
Innovation starts in the data center and moves to the business.

6. Modernize To Stay Competitive
IDEA
SCOPE
BALANCE
BUDGET
PROCURE
INSTALL
CONFIG
GO LIVE
Traditional
Months $
IDEA
SELF-PROVISION
GO LIVE
Transformational/Modernized
Minutes
Time to service is time to innovation
Self-service puts innovators in control of resources
Focus on service delivery
IT is well acquainted with the process of delivering new services, which can take months to years to launch. But, time to service delivery equals time to innovation. When line of business needs a new resource, they need it now, to stay competitive and innovative. Often, they might turn to outside resources in the public cloud to meet their needs, because of the time it takes to insert a new service in the infrastructure.
Transitioning from deploying technology to enabling services and delivering innovation is a process. How does IT become a service delivery engine instead of a technology warehouse?

7. Modernizing the Data Center From Optimization to Innovation
NETWORK/COMPUTE/STORAGE
Engage hybrid cloud to
orchestrate transformation
OVERALL INFRASTRUCTURE
Become a services business
that empowers users/innovators
BUSINESS ASSET
Create greater value in IT
Drive Business Innovation
Big Data and Advanced Analytics
Use High Performance Data Analytics to Identify Opportunities, Respond to Competitive Threats
Optimize Operations Through Predictive Analysis
Improve Time-to-Market
Enhance Customer Value with New Products and Services
Focus is on Technology
Increase Efficiency, Security, Flexibility, and Adaptability
Data Center Optimization
Virtualization
Visibility
Policy-Driven/Enabled
Create Efficiency and Enable Services Accessibility
Software Defined Infrastructure (Compute, Storage, Networking, Self-Service Portal)
Respond Quickly to Opportunities
Accelerate New Service Deployments
Empower Users with Easy Accessibility to Services
The process of modernization is a continuous journey, because innovation never ends if you want to stay competitive. The data center is a like a living, breathing organism, always evolving. But the process is predictable, starting with technology and optimization, moving to a service oriented infrastructure, and delivering added value and innovation through analytics.
Technology/Optimization
Today, many IT departments are focusing on the technology. Their vocabulary centers on the rack and row and how to increase efficiency, lower power and cooling, and deploy technologies more effectively.
Virtualization and cloud technologies are key to the infrastructure at this stage. Often, Line of Business managers turn to public clouds to enable services that are not easily obtained in the data center. However, we’ll see this is not always optimal.
IT implements virtualization and private cloud to consolidate services, automate orchestration of the compute layer, and optimize the operations. This enables efficient deployments of compute resources and improves usage of compute cycles in the data center.
But virtualization itself introduces many challenges, because there is often little visibility into the layers of VMs and their functions. Thus, tools that let you effectively monitor and manage a large number of VMs and services across the data center and cloud are essential to optimize operations. Phase 1 provides the cloud operating foundation with cross-platform visibility across all workloads in your cloud, enabling the move to services delivery and Software Defined Infrastructure.
Services Deliver/Software Defined Infrastructure
Software Defined Infrastructure, or SDI, addresses the overall infrastructure and readies it for self-service delivery through user portals. SDI extends the lessons and benefits of virtualization and cloud to storage and network with automated orchestration across all areas of the data center—compute, storage, and network.
Customized storage needs can be quickly deployed using pools of storage orchestrated with Software Defined Storage (SDS). Storage becomes easily scalable and efficient by eliminating overprovisioning to meet future needs.
With SDI, IT can respond quickly to diverse needs through software orchestration of new network services using Virtualized Network Functions (VNFs).
SDI enables an infrastructure for orchestrated self-services deployment through a self-service application layer that allows the users to choose the services they need for their project and quickly ramp them up—in minutes instead of months.
Analytics Create Greater Value
As mentioned earlier, every interaction of a device with the infrastructure is a chance to acquire data about user behavior, the services being delivered, the efficiency at which they’re delivered, and more. That data and others become a valued IT asset to analyze for new insights into business operations and its markets. Through Big Data and High Performance Data Analytics, the data center is in a position to drive business innovation. Analytics creates greater value in IT.

8. Wherever You Are on Your Infrastructure Journey— Intel Architecture Makes it Better
Operations
Traditional Data Center
LABOR/ COST/TTM
Compute Virtualization
Greater Efficiency
LABOR/COST/TTM
Automated Orchestration/SDI
Greater Agility
LABOR/COST/TTM
Analytics/ Insights
Greater Insight and IT Innovation
LABOR/COST/TTM
Increased Application Performance
Improved Virtualization,
Consolidation and Utilization
Enhanced Software-Defined
Infrastructure
Greater Insight
and Intelligence
Improved SDN, NFV and SDS Performance
Deeper Telemetry
Faster Analytics
Improved
Security
Trusted Computing
The world’s leading infrastructure software runs better on Intel.
Modernization addresses all three technologies in the data center: compute/server, storage, and network. Intel is a leader in all these areas, providing both technologies in compute, storage, and network, and partnered relationships to deliver solutions for modernization.
The world’s data centers run on Intel® architecture. The reason is because of data center performance and software optimization that Intel has invested in by working with the hardware vendors and ISVs in the ecosystem. Intel developers work with ISVs across the ecosystem to deliver powerful, efficient solutions that enable better virtualization, visualization, orchestration, and analytics.
Intel has vast contributions in leading partners software solutions for cloud, virtualization, and analytics in order to optimize Intel® architecture on open source, Microsoft and VMware software.
is itself taking this journey, as we shall see later. We walk the walk of modernization.

9. Choose the Fastest Data Center Components for Winning Results
The latest software, processors, storage and network innovations drive winning performance.
High-Speed Fuel System
Upgrade to latest Intel® SSDs to fuel the processor with data faster.
High-Performance Engine
Upgrade to the latest solutions, which are optimized for performance by using the
Latest Intel® processors.
Maximize Data Center Performance
Upgrade to latest software, Intel® processors, SSDs, and Ethernet adapters.
Up to 211% More Orders per Minute Combined1
Up to 102% More Orders per Minute1
Up to 40% More Orders per Minute1
Performance-Optimized Drivetrain
Upgrade to latest Intel® Ethernet Adapters to propel data to and from the network.
Up to 10% More Orders per Minute1
1 Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software,operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information go to
*Other names and brands may be claimed as the property of others Source :
Balance across the entire infrastructure brings the highest performance for the entire system. But individual components drive the performance for compute, storage, and network. You need a strong engine to power the computation, an efficient, high-speed fuel system to feed the solution, and a fast fabric to move the data.
Older technologies are quickly outpaced by newer ones with each new innovation in architectures from Intel. Stepping up to the latest generation of Intel® architecture delivers the highest performance for your infrastructure.
Processor + Software: “Up to 102% More Orders per Minute”
(235, ,585) / 116,585 = 1.020
SSD: “Up to 40% More Orders per Minute”
(329, ,597) / 235,597 = 0.396
Ethernet: “Up to 10% More Orders per Minute”
(363, ,055) / 329,055 = 0.103
Overall: “Up to 211% More Orders per Minute”
(363, ,585) / 116,585 = 2.113
If you prefer to use speedup instead, here are the values:
Processor + Software: “Up to 2X More Orders per Minute”
SSD: “Up to 1.4X More Orders per Minute”
Ethernet: “Up to 1.1X More Orders per Minute”
Overall: “Up to 3.1X More Orders per Minute”
More information on virtualization performance and consolidation can be found here:
for the full list of OEM publications
For more information, see:
and
The performance package can be found at goto/competition includes server, network and storage proof-points along with ISV highlights and software + hardware upgrades working better together.  The full SSG ISV Enabled Application Marketing Guide (EAMG) highlighting 50 proof-points from around the world can be found at
Check back as there will be several updates over the next couple of months.  See for Intel SSD DC drives performance data and collaterals.

10. Implementing a Cloud Solution for Service Delivery and a Single Pane of Glass Across Workloads
ON-PREMISES
OFF-PREMISES
Agility
Elastic
Predictive Performance
As Needed
Delivering Business
Innovation
Efficiency
Security
Simplified Path to
Secure Cloud
HW/SW solutions from Intel:
Processors | Storage | Networking | High Performance Data Analytics
Public-Cloud Like Self-Service (Accessible)
Virtualization of Compute/Network/Storage
Security and Compliance
Major IT Trends
While public cloud is often the first experience for many IT departments, it does not always adequately provide the resources that are key to IT. Comprehensive, hybrid cloud implementations can enable high efficiency, predictability, and security when orchestrated with these objectives in mind.
A comprehensive cloud solution—both on-premise and off-premise—enables a single pane of glass into the visibility of all workloads in the data center. While Line of Business has used public cloud to quickly enable needed services, a comprehensive cloud implementation enables IT to leverage the efficiency, security, predictive performance, and agility of an on-premise cloud with elasticity of an off-premise cloud. Together, they can optimize service delivery that is tuned for the business’ unique needs and to ensure compliance with enterprise policies.
Comprehensive cloud solutions are built on the best combination of software and hardware. Intel, its partners, and the ecosystem offer the technologies, software, and tools to build a cloud solution and enable your enterprise to engage each phase of data center modernization—from optimization to innovation.
An Intel-powered cloud solution leverages Intel software and hardware technologies with commercial, enterprise-grade software solutions to give enterprise IT the tools and resources it needs to innovate. Intel engineers have worked with ISVs to ensure that they can take full benefit of, and innovate upon, the strong silicon features to maximize the value of their solutions.
Transition: Let’s look at the three phases in more detail
*Other names and brands may be claimed as the property of others.

11. Data Center Imperative 1
SERVICE INNOVATION
Data Center Imperative 1
Visibility, Virtualization and Performance Management through Cloud
Cross Silo, end-to-end visibility to address issues, proactively manage SLAs, Security and predict outages for performance guarantees with the ability to remediate
Each phase on the journey to modernization revolves around imperatives to achieve the objectives of that step.
The imperative for the first phase is to build the foundation of a cloud infrastructure that offers cross-silo, end-to-end visibility and performance management, so you can efficiently see and manage what is happening in the data center.

12. Engage Cloud to Orchestrate Transformation
Build a New Operating Model
Transform from Traditional IT to a Cloud Infrastructure
Optimize IT Service Delivery through Cloud
Traditional enterprise infrastructures are siloed and increasingly complex to maintain, manage, and scale. This complexity and limited adaptability hamper efficiency, ultimately driving up total cost of ownership. A case for virtualization of compute servers has been made for years to consolidate resources, which can lead to lower costs.
According to IDC,
56% of workloads in the enterprise are virtualized. That leaves plenty of room for further optimization and consolidation of workloads, which can dramatically reduce hardware overhead.
40% of enterprises are still in server consolidation. So, we’re still losing CPU cycles to underutilized hardware and paying for power and cooling that is not being used.
By % of workloads in the enterprise will be virtualized. (IDC 2016). Are you ready?
With the promises of increasing optimization, improving return on investment, and addressing pain points of datacenter managers, engaging cloud technologies is the first step in transforming IT from traditional infrastructure to a modernized data center.

13. Build a New Operating Model
Data Center Optimization
Server consolidation
Workload optimization
Cloud strategy
Virtualization
Virtualize critical workloads
Process automation
Automated policy-based management
Visibility
X-ray what’s happening in the data center
Understand/manage all levels of operation
Proactively respond to optimize workloads
Security and Compliance
Automated regulatory compliance
Strong encryption for data at rest or in motion
A new operating model takes into account greater optimization, a virtualized infrastructure, visibility into the systems and workloads, and automated services to maintain system operations.
Virtualization is a well-known model for consolidation and optimization of resources. Many IT departments have already begun the transition to cloud by virtualizing some or much of their infrastructure to optimize data center operations.
Virtualization improves server utilization but introduces multiple workloads across a single system. Visibility into what is happening across the many VMs becomes critical to efficiently manage and optimize operations. Visibility tools exist, providing deeper insight into VMs. Leveraging these tools help improve efficiency and manage overall data center efficiency and performance.
Built into the modernized data center technologies, security and maintenance software can be policy-based and automated to help ensure compliance across the systems.
*Other names and brands may be claimed as the property of others.

14. Ready Your Infrastructure for Industry Standards
VIRTUALIZE MISSION CRITICAL
APPLICATIONS
INDUSTRY STANDARD
VIRTUALIZE INFRASTRUCTURE
Dedicated Silos
X86
Dynamic Infrastructure
Software developers typically follow a process to create features that enterprises want on the most widely used technology, then scale it across other, less-used architectures. x86_64 architecture runs the vast majority of data centers. Intel’s hardware performance and features, its relationships with leading ISVs and innovative startups, and its investments from Intel Capital have helped drive a standardization on Intel® architecture in nearly all the data centers around the world. Mainframes are pretty much a thing of the past, and RISC architectures are being replaced with scalable Intel® processor-based systems. When you standardize on the industry standard, you are able to take advantage of the latest software innovations.
If you go back two decades or so, SAP was focused on delivering their software on proprietary systems that ran the databases in the enterprise. Architectures like IBM* POWER*, and Sun SPARC* were very prominent, as was the mainframe. Later, as Intel created its Itanium® architecture, SAP was an enthusiastic supporter. But this created a dilemma for developers trying to support their latest development on multiple architectures.
With the rise of Intel Architecture, SAP shifted its focus to develop first on Intel architecture, and then extend features based on customer need. By using IA as the touchstone, SAP can scale its software across a variety of new environments such as the cloud, or flexible appliance models. As customers demand other architectures, SAP will support them, but the development and performance work is on IA first.
At the same time, the new forms of data analytics, such as Hadoop, are also being developed on Intel Architecture. You shouldn’t miss this opportunity, since you now have the ability to deploy the same architecture across your enterprise, and also support cloud models.
As mentioned earlier, virtualization is a well understood model for compute. It’s also extending to storage and network, enabling a highly flexible data center infrastructure that can quickly respond to business needs and enable data analytics that can deliver great value for the company.
And as the hardware becomes virtualized, virtualizing mission critical applications improve responsiveness and scalability for services, such as analytics.

15. On-Premise Private Cloud Core1 High Business Value
Cloud Decision Guide
Standard
Cloud Focus
Public Cloud
Examples
Basic business apps
, CRM, Web, Collaboration
Stable
Context1
Dynamic
Stable
Hybrid Cloud
On-Premise Private Cloud
Cloud Aware apps Customer engagement and services
Traditional or Cloud Aware apps Analytics, BI, Supply Chain, ERP
Core1 High Business Value
CONTROL/VISIBILITY
High %
Low %
Stable
Unpredictable
VARIABILITY
High %
Low %
VIABILITY
Established
Born on Web
BUSINESS TYPE
We’ve talked about cloud and different implementations. But, you need to make cloud decisions intelligently, based on what your business needs are—the context of your business and the core of your business. For example the more control and visibility in highly regulated environments a workload may be best on-premises.
What the business and IT define as core to the business versus context to the business will drive the decisions of what services need higher oversight and control. These types of decisions drive what should be hosted on-premises and what can be run in the public cloud.
Whether you know it or not you have a cloud strategy…it just may be being defined by your lines of business in department purchases for new projects by fast moving clients of IT. This may not be optimal for the business decisions on what remains with oversight versus what is being quickly developed.
Driven mainly by leadership alignment to come up with oversight over workload decisions IT should help the business drive these decisions. The continuum is not fixed or ridged, and deciding on what remains on-premised may be driven by compliance and hard and fast rules for guidance.
There may be other factors central to the decision-making process of where to host services. Every company is different, and IT and business leadership must rate and rank them appropriately to guide how services will be hosted and deployed.
1Crossing the Chasm: Dr. Geoffrey Moore Marketing and Selling High-tech Products to Mainstream Customers (1991, revised 1999 and 2014)

16. Success Stories
Five Days to Thirty Minutes: Accelerated Services Delivery
Pharmaceutical Company
Objective: Accelerate time to service, reduce errors
Tools: HP Operations Orchestration*, BMC Remedy SRM* and Atrium*, SAP*, Microsoft SCCM*, VMware vCenter*
Result: 30 minutes to service delivery; reduced risk with single, automated, compliant process
Onboarding from Two Months to Four Hours
HR Software Resources Provider (SaaS)
Objective: Accelerate new customer onboarding from two months
Tools: vRealize Automation*, vRealize Orchestration*
Result: Four hours to onboard, inclusive of CMDB, load balance, DBs, web servers, CDNs
What can cloud do for your operations?
It can accelerate services delivery, as it did for a large pharmaceutical company, that reduced new services activation from five days to 30 minutes using available solutions from HP, BMC*, Atrium*, SAP*, Microsoft*, and Vmware*.
An HR SaaS provider had a similar experience bringing new customers on board hours instead of the historical two months process time, using virtualization tools from vRealize*.
*Other names and brands may be claimed as the property of others.

17. Data Center Imperative 2
Migration to Services Business through Software Defined Infrastructure
Self-Service, Easy-to-Use, Cross-Cloud Visibility, and Management
With the foundation of cloud in place, enabling self-services by creating a fully flexible, quickly deployable infrastructure of compute, storage, and network is the next step. Software Defined Infrastructure abstracts the hardware to enable capabilities through easily deployed software functions running on powerful processing and storage platforms, all without losing the cross-cloud visibility and performance management established earlier.

18. Deliver Easy-to-Use Self Services
Modernize and Accelerate Service Delivery through Software Defined Infrastructure
Enable Self-Service Portal Across Compute, Storage, and Networking
Ease-of-Usage for Development to Production Workloads
Enhance Customer Value with Real-Time Responsiveness
The sooner services can be deployed, the quicker users will begin employing the capabilities they need for their projects. An easily orchestrated infrastructure with a self-service portal enables ease of use for any type of workloads—development to production.

19. An Architectural Shift is Needed
One Application
per System
YESTERDAY
One Application
per Virtual System
TODAY
Orchestration
Abstracting the Data Center
Resource Pool – Server-Based
APP
Applications Define the System
FOUNDATION FOR INNOVATION
Orchestration
Abstracting the Data Center
Resource Pool – Server-Based
APP
Applications Define the System
FOUNDATION FOR INNOVATION
Easy Solution
Self Service Enables:
Agility—Public Cloud-Like Consumption
Efficiency—Reducing the Cost of Consumption
Compliance—Operational and Risk
Traditional Hardware
APP
Compute
Storage
Network
Abstracting the Compute
APP
Compute
Hypervisor
To enable quickly deployable services from a menu-type self-service portal requires a modernized infrastructure that automates configurations and deployment of hardware and software. Today’s infrastructure models do not facilitate these types of requirements.
Virtualization enabled abstraction of the compute from pools of processing resources—the servers. But, hardware still defines the system where network and storage are concerned, creating bottlenecks in these remaining components.
With self-service applications delivery, the applications define the system and the functionality, and the hardware adapts to the need of the services—as they are deployed. Software Defined Infrastructure, or SDI, abstracts the entire data center from pools of compute, storage, and network resources, using software to redefine and deploy the functionality to the needs of each service.
Orchestration automates the deployment of these functions with software layers running on top of the hardware resources and defining how the compute cycles, network transactions, and disk sectors will be assigned to empower the services.
For example, when an resource for a new project is required, the orchestration layer might use predefined packages of the necessary resources to quickly build that service out of virtual CPUs, Software Defined Storage (SDS), and network functions—all according to policies established by IT to maintain security and regulatory compliance. If that resource or another within the project needs specific network routing or filtering capabilities to meet policies, orchestration can use Network Functions Virtualization (similar to compute virtualization) to assemble an on-premise network processing service (software) as a Virtualized Network Function running on one or more VMs dedicated for that VNF.
In minutes, an automated, mini-data center is being established, giving the project the IT resources it needs to function and empowering the users to begin innovating new products, insights, or whatever the charter of the project is. Intel enables NFV using hardware enhanced capabilities that software leverages for performance and security.
All this makes it easy to deploy new services in minutes rather than hours, days, or weeks.
SDI enables data center and IT agility, efficiency, and compliance, while delivering ease-of-use for self-service applications.

20. Software Defined Infrastructure
Self-Service Portal
Service Orchestration
Centralized and Automated
Policy-Based Automation
Storage
Controller
Network
Controller
Compute
Controller
Security
Controller
Infrastructure
Attributes
Power
Performance
Thermals
Utilization
Location
Latency
Durability
Security
Self-Provisioned
Compute Pool
Network Pool
Infrastructure Pool
Storage Pool
Pooled, Virtualized Resources
VMs
Containers
Virtual Router
Virtual Firewall
Virtual VPN
Virtual SAN
Scale Out Storage
Legacy Storage
Intelligently Orchestrated
Virtualization
Servers
Accommodates Legacy
SDI is a multi-layered technology. Users access the services they need through a public-facing interface. Services are deployed in accordance with policies that ensure compliance to whatever the business requirements are—SLAs, security, performance—with full awareness of the capabilities of the platforms in the data center and adapting to the capabilities of the client.
Instead of siloed technologies, SDI sees the infrastructure as a pool of resources that can be deployed to enable the needed services. And it accommodates legacy resources, integrating existing investments with the SDI view of the data center, preserving those investments while adopting the new approach.
Like the modernization journey, implementing SDI is a phased process. Most data centers are already employing compute virtualization to consolidate servers.
The amount of data to store is growing exponentially every year according to 451 Research 62% CAGR growth in storage demand with only 2% growth CAGR for budget for storage. With the fast accumulation of the variety and volume of data, adopting Software Defined Storage (SDS) next helps companies stay ahead of the competition. SDS enables a scale-out approach to storage rather than the often expensive and inflexible scale up approach of storage area networks (SANs) and network attached storage (NAS).

21. SDI Infrastructure Maturity Model
Service-based
PHASE
Policy-based
Real-Time
(SLA Managed)
Orchestrated
Automated
Virtualized
Standardized
Pooling
Real-Time Enterprise
Service Level Management
Hybrid Service Managed
Rationalized
Orchestrated (workload, SLA based movement)
Automated Resource Pools (Virtualization, Provisioning)
Automated
Basic Automation (patches, VM’s)
Storage Virtualization
Virtualized
Automated Application Stack (Paas)
Compute Virtualization
Simplified
Server , Storage, Network Consolidation
Centralized
Management
by Reaction
Basic
LATE
MAINSTREAM
EARLY

22. Success Stories Major Grocery Chain
Months to Minutes: Accelerated Service Delivery through NFV
Objective: Accelerate service deployment, enable flexible offerings
Tools: Nuage* SDN, Blue Planet* Orchestration, Openstack* Cloud OS, Intel® Xeon® processor-based servers, Intel® Ethernet Controllers
Result: Accelerated services delivery—from months to minutes; consistent service delivery regardless of 3rd-party data center
10X Footprint Reduction, 80% Cost Reduction using Software Defined Storage
Major Grocery Chain
Objective: High-performance, cost-effective, scalable, flexible storage
Tools: Vmware* VSAN*, Intel® Xeon® processors, Intel® SSD Pro Series, Intel Networking
Result: 10X footprint reduction, 80% cost reduction
Software Defined Infrastructure has helped redefine businesses like CenturyLink* and a major retail grocery chain, by accelerating services delivery and cutting the costs of IT.
CenturyLink used several commercially available solutions from Nuage*, Blue Planet*, OpenStack open source cloud operating system, and Intel to reduce times to be able to roll out new services to its customers.
A major grocery chain was able to significantly reduce its IT footprint with SDI, cutting is physical footprint 10X and reducing costs by 80% through virtualization and Intel® Solid State Disks for storage capacity.
*Other names and brands may be claimed as the property of others.

23. Intel® IT SDI Journey—So Far
SDS Pilot
SDC Migration
SDN Overlay
2015
2007
1997
2010
2011
2012
2013
2005
Office/Enterprise Environment
Network Commodity Hardware
Design Environment
Modular Design
Data Center Model of Record
Open Standards
SDN Exploration
Software-Defined Compute (SDC)
Software-Defined Storage (SDS)
Software-Defined Network (SDN)
Data Center Facilities
$1.4B Savings in Server Hardware – 50% Reduction in Network Costs – Increase Flexibility and Agility
No data center is alone in their modernization journey. Intel is going through the same process all IT departments have to engage, and we’ve learned key best practices and processes along the way. We have progressed through standardizing on Intel® architecture, on commoditizing our compute, storage, and network, on looking at SDNs and employing open standards. We’ve engaged key stakeholders, established objectives, and evaluate our progress along the way. We are looking at NFV where it makes sense and have a server defined storage platform in pilot. It is a time-consuming process that we began in the late 1990s and will continue going forward, because technology innovation is always emerging that will improve our IT operations.
For more information, see these white papers.
*Other names and brands may be claimed as the property of others.

24. Data Center Imperative 3
Create Greater Value in IT by Driving Business Innovation
High Performance Data Analytics (Big Data) and Data Center Predictive/Prescriptive Analysis Allow IT to be Proactive and Deliver Solutions to Business Challenges
As services are deployed and users interact—both employees and customers—the result is a gathering of richer and richer data available for analysis to reveal new insights. Now IT becomes a driver of innovation through analytics.

25. Drive Business Innovation
Turn Business Intelligence into a Competitive Edge
Optimize operations through predictive/prescriptive analytics
Improve time-to-market
Enhance customer value with new products and services
Engage High Performance Computing (HPC) for discovery and insight
We mentioned earlier that ‘I’ in CIO is becoming Innovation, making the CIO responsible for innovation in the organization. Analytics drives insight, and insight enables innovation. As a source for insight and innovation, IT can help turn business intelligence to a competitive edge, help optimize operations through more accurate predictable responses from understood inputs. Some enterprise may require high performance compute solutions (HPC) to address real-time to drive their growing need for powerful analytics resources.

26. Advanced Analytics in the Data Center
In the data center enables IT to predict and prescribe appropriate actions necessary to achieve required outcomes
Enables IT and the company to innovate and remain competitive
Advanced Analytics
Predictive Analytics
What, When, and Why Will it Happen
PREDICTIONS
How to Benefit from These Predictions
DECISIONS
How Will These Decisions Impact Business Opportunities
EFFECTS and OUTCOMES
Analytics creates greater value for IT at the business table. Mining the volumes and varieties of data an organization acquires can reveal insights not seen before, which can prescribe next steps to achieve desired outcomes.
For example, as customer demands increase and change, it is essential to gain deep, real-time insights in order to reduce customer churn. Big data can drive innovation and help you get new services to market faster than the competition. And big data leads to new business models that can transform your organizational processes and reduce your costs.
We expect that the value of data analytics will become so valuable that it will be a differentiator for companies, not just for the IT organization within the company. From the variety of customer examples that we’ve seen, we view big data as a key emerging opportunity for any company. Here are a couple examples.
Parkinson’s Research: Leveraging wearables moves understanding from subjective to objective analysis of the progression of Parkinson’s disease. Intel and The Michael J. Fox Foundation are changing real time data into real time progression analysis through technology and big data analytics.
Penn Medicine Heart Failure: Using Intel’s Trusted Analytics Platform (TAP) Penn Medicine is leveraging technology and big data analytics for predictive identification of patients at risk of heart failure, while reducing costs and increasing service to patients.

27. Analytics Landscape and Scaling
In-Memory
Scalable Streaming
Real-Time
Analytics Landscape and Scaling
Scale-up
RBDMS, SQL
Scalable No SQL
Batch
Highly Structured
Un-Structured
Scale-out
Analytics covers a large landscape with technologies that allow companies to scale out and scale up their analytics capabilities in order to meet their needs as they move toward a real-time enterprise.
Intel works with the entire analytics ecosystem to help them optimize their software solutions on Intel technologies and deliver performance, reliability, and greater capabilities for their customers.

28. Advanced Analytics Maturity Path: Moving to Real Time
Self-learning and Completely Automated Enterprise
SCALE AND MATURITY
Cognitive Analytics
Prescriptive Analytics
ENTERPRISE MATURITY--BASELINE
Simulation-driven Analysis
and Decision-making
On-demand Enterprise
Predictive Analytics
Foresight
No/New-SQL, Mature In-Memory DB and Processing , Early Data Lake
Optimized and Integrated Enterprise
Diagnostic Analytics
Insight--What Happened and Why
Enterprise Data Warehouse, In-memory DBs + Processing
Descriptive Analytics
Hindsight--What Happened
Operational Enterprise
Files, RDBMS, ODS, Early Data Warehouse, OLAP
Like data center modernization, analytics is a journey to achieve greater analytics value by adopting new analytics tools and capabilities.
Companies’ insights and innovation can grow as they become a real-time, on-demand enterprise through adoption of analytics. Many businesses start with simple spreadsheets and progress along a maturity path, employing advanced analytics, High Performance Data Analytics with Big Data and Hadoop, and eventually moving to an on-demand enterprise powered by data streaming and cognitive analytics.
As your adoption of analytics evolves, you gain greater insight, from understanding what did happen and why to driving what will happen, because you understand what actions to take to prescribe a wanted outcome, and eventually automating some decision making through machine learning and cognitive analytics. ​
SILOED
VIRTUALIZED
COVERGED/CLOUD/SDI
INFRASTRUCTURE

29. Modernize Your Data Center- lauren.robinette@intel.com
The Data Center is Dynamic—Follow Your Path to Modernization
Virtualize the Data Center with visibility tools to enable a flexible, efficient, manageable infrastructure
Evolve a Software Defined Infrastructure for efficient self-services delivery
Adopt High Performance Data Analytics and Data Center Predictive/Prescriptive Analytics to drive business innovation
Data Center Modernization is a Continual Process that Drives Innovation
If increasing agility and reducing TCO are now top priorities for your business, then implementing the steps in your journey is critical. This checklist can help you get started.
UNDERSTAND THE BUSINESS PROBLEM. Work with your users to define the compelling business imperatives. What key business initiatives might benefit most from a more flexible IT approach? Do you need to improve quality of service delivery? What are the business requirements for your unique workloads?
ASSESS YOUR CURRENT INFRASTRUCTURE. Evaluate the operational costs of your current environment, such as space, HVAC, replacement costs, and performance.
IDENTIFY A PILOT PROJECT. Pinpoint the project that is best solved by moving to cloud-based workloads and software-defined project with a high probability of success.
EVALUATE RISK TO YOUR DATA. Determine which data is strategic to your business or core, and identify legal and regulatory requirements with which you must comply.
CONSIDER YOUR PLATFORM AND DEPLOYMENT OPTIONS. Will you build your solution from a portfolio of vendors and open-source hardware and software, a pre-validated turnkey solution, or a converged or hyper-converged option?
GET EDUCATED. Read white papers, research studies, and analyst reports. See what other companies have learned when implementing software-defined journey and solutions. Build on their best practices. Find reference architectures of proven SDI solutions at Intel® Builders Program.

30. Resources
Business Brief on Modernization Presentation

31. Disclaimers
No license (express or implied, by estoppel or otherwise) to any intellectual property rights is granted by this document. Intel disclaims all express and implied warranties, including without limitation, the implied warranties of merchantability, fitness for a particular purpose, and non- infringement, as well as any warranty arising from course of performance, course of dealing, or usage in trade. All information provided here is subject to change without notice. Contact your Intel representative to obtain the Intel product specifications and roadmaps. The products described may contain defects or errors known as errata which may cause deviations from published specifications. Current characterized errata are available on request. Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more complete information visit Cost reduction scenarios described are intended as examples of how a given Intel-based product, in the specified circumstances and configurations, may affect future costs and provide cost savings. Circumstanc­es will vary. Intel does not guarantee any costs or cost reduction. Copies of documents which have an order number and are referenced in this document may be obtained by calling or by visiting Copyright © 2016 Intel Corporation. All rights reserved. Intel, the Intel logo, Intel Xeon, Intel Atom, Intel Xeon Phi, and 3D XPoint are trademarks of Intel Corporation in the U.S. and/or other countries. * Other names and brands may be claimed as the property of others.

33. Internal Use Only – DELETE BEFORE PRESENTING! !
Tools: Reference Collateral
Tools
Link/ Pointer
DCG Resources (central repository for DCG’s prioritized content)
Data center Optimization Guide
file:///Users/lrobinet/Downloads/data-center-optimization-planning-guide.pdf
Workload video for Datacenter
Why Private Cloud video
Why Orchestration? video
Datacenter refresh for increased efficiency video
V-DCG-SDI-200: Make Money from Software Defined Infrastructure
SDI SDN & NFV ESS Leadership (slides)
Health care success story Datacenter Optimization
Data Center SDI strategy (recorded session)
Private versus Public 101
Private versus public decisions WP
Intel IT best practices
Faster Time to market – Intel IT best practices
Delivering path to hybrid cloud – virtualization first step
Hardware and software upgrade performance with Xeon
E7 Performance
E5 Performance
Server Refresh Message:

34. Intel SDI-Enabling Building Blocks
Responsive
Energy Efficient
Secure
High Availability
Compute
Storage
Network
Software and Technologies
Intel® Xeon® Processor Family E3-E5-E7
Intel® Atom™ Processor
Intel® Xeon Phi™ Processor
Intelligent Storage
Scale-out Storage
Scale-up Storage
Intel® SSD DC S3710 Series
Intel® SSD DC P3700 Series
3D Xpoint™ Technology
Future Memory Technologies
Intel® Omni Path Architecture
Intel® Ethernet Controllers
Intel® Ethernet Adapters
Intel® DPDK
Intel® Quick Assist
Intel® Data Center Manager
Intel® Node Manager
Intel® Expressway Service Gateway
Intel® Cache Acceleration Software
Intel® Solutions for Lustre*
Intel® VT and Intel® TXT
Intel® AES-NI
CHOICE
Key Message: Intel’s foundational technologies offer advanced solutions for new workloads.
Story:
###############################
Additional Information:
Our main building blocks consist of:
Server. The Intel® Xeon® processor family consists of the E3, E5 and E7 product lines which offer different combinations of capabilities and price points for different workloads. The upcoming Intel MIC (Many Integrated Core) processor is targeted primarily at the portion of the HPC market that values maximum parallel processing density such as… And our Atom line aims at the low-cost, low-power, ultra dense microserver market where node density is paramount.
Networking. Intel is the Industry’s #1 selling 1GbE and 10GbE adapters and silicon and also offers a family of industry leading, low latency 10GbE/40GbE switch silicon products
Storage: one of the biggest trend in storage is the increasing use of compute within the storage box to reduce latencies and also provide lower overall cost/GB of storage thru more efficient storage. For large data sets and those storage workloads requiring the lowest latencies Xeon is the industry choice. Xeon provides the compute capability in over 80% of the storage market. And Intel enterprise SSD’s are designed for the demanding performance and endurance needs of the data center
Software and other technologies: We are developing strong open-source components such as our Intel Distribution of Hadoop. Intel Datacenter Manager enables better power management at the server, rack and datacenter level. Advanced RAS (reliability, availability and serviceability) features ensure high levels of system resiliency and availability.
And Intel’s heavy investment in industry enabling ensures these come available in the widest choice of systems. The most popular are general purpose systems, but many of our partners innovate further to create highly workload-optimized platforms and converged architecture systems. The greater level of bundling and integration in these systems allows for simpler and faster deployments and ongoing maintenance.
*Other names and brands may be claimed as the property of others.
Intel’s Foundational Technologies Offer Advanced Solutions for Cloud
*Other names and brands may be claimed as the property of others.

35. Analytics Scale Up Processor Upgraded on In Memory Workload
Powerful performance
Baseline7
Family
Intel® Xeon® Processor
E7 v2
SPS 08
SAP HANA*
Family
Configuration 1
Intel® Xeon® Processor
SPS 09
E7 v2
SAP HANA*
Configuration 2
Family
Intel® Xeon® Processor
E7 v3
SPS 09
SAP HANA*
Configuration 3
Family
Intel® Xeon® Processor
E7 v2
SPS 09
SAP HANA*
Key Message:
Story:
####################################
Here you can see that using platforms with Intel® TSX enabled and powered by the Intel® Xeon® processor E7 v3 family with an upgraded SAP HANA® SPS 09 can yield nearly six times the performance over a system that was just introduced last year. And the specific improvements enables by Intel TSX alone essentially doubles the performance. This pace of innovation will continue as Intel and SAP continue to work together.
The constant innovation by both Intel and SAP yields business results. As SAP innovates the software, it takes advantage of new system features to get even better performance for your invested dollar. By upgrading your hardware to the newest Intel Xeon processor E7 v3 family, you can realize significant results in a complex system using SAP HANA.
*Other names and brands may be claimed as the property of others.
1 Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products.

36. Optimize Analytics Performance
Intel® Technologies Deliver Performance on a Traditional Hadoop* Cluster
Hadoop* Apps Run Faster on Intel® Enterprise Edition for Luster Softwarea
3X Fastera
TeraSort* for 1 TB sort > 4 hour process time
Time to Completion
Intel® Xeon® Processor
5600 HDD 1 GbE
Upgrade processor
Upgrade
to ssd
Upgrade
to 10 gbe
50%
REDUCTION1
ADDITIONAL REDUCTION2
80%
50%
ADDITIONAL REDUCTION3
Traditional
Hadoop
Hadoop on HPC
with Intel EEL
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. 1Intel estimated reduction using Base Cluster Configuration with Intel® Xeon® Processor E vs. Intel® Xeon® Processor X5690 with 10K SAS HDD and Intel® Ethernet 1 Gigabit running Apache* Hadoop 1.0.3
2Intel estimated reduction using Base Cluster Configuration with Intel® SSD 520 Series vs. 10K SAS HDD with Intel® Xeon® Processor E and Intel® Ethernet 1 Gigabit running Apache* Hadoop 1.0.3
3Intel estimated reduction using Base Cluster Configuration with Intel® Ethernet 10 Gigabit SFP+ vs. Intel® Ethernet 1 Gigabit with Intel® Xeon® Processor E and Intel® SSD 520 Series running Apache* Hadoop 1.0.3
For more information go to
Results have been estimated based on internal Intel analysis and are provided for informational purposes only. Any difference in system hardware or software design or configuration may affect actual performance.
Key Message:
Story:
##############################
With a complete Intel-based solution, you can complete tasks that used to take hours in sub-15 minutes opening door to analysis and insights to fuel innovation.
Additional Information:
This opens up new avenues of innovation for customers who can now reach near real time analysis of massive amounts of unstructured data. This could enable faster responses to customer complaints, more rapid supply chain adjustments, and more chances to get a jump on the competition with products and services.
As this Hadoop testing shows that as important as the processor is in improving the customer experience, it’s not the entire solution. By understanding the benefits of SSDs, 10GbE, and Intel SW tools we can give an even better experience with Intel optimized platforms, and boost business results.
Slide Notes: Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products.
Intel estimated reduction using Base Cluster Configuration with Intel® Xeon® Processor E vs. Intel® Xeon® Processor X5690 with 10K SAS HDD and Intel® Ethernet 1 Gigabit running Apache* Hadoop 1.0.3
Intel estimated reduction using Base Cluster Configuration with Intel® SSD 520 Series vs. 10K SAS HDD with Intel® Xeon® Processor E and Intel® Ethernet 1 Gigabit running Apache* Hadoop 1.0.3
Intel estimated reduction using Base Cluster Configuration with Intel® Ethernet 10 Gigabit SFP+ vs. Intel® Ethernet 1 Gigabit with Intel® Xeon® Processor E and Intel® SSD 520 Series running Apache* Hadoop 1.0.3
For more information go to
Results have been estimated based on internal Intel analysis and are provided for informational purposes only. Any difference in system hardware or software design or configuration may affect actual performance.
*Other names and brands may be claimed as the property of others.
a Source: TATA Consultancy Services, Inc., 2015;

37. Unlock the Potential of High Performance Data Analytics (Big Data)
Integrate your organizational processes with end-to-end analytics powered by Intel® technologies that can accelerate Apache Hadoop*.
Transform/Analyze  Compute
Intel® Xeon® E7 v4 Processors
Intel® Xeon® E5 v4 Processors
Intel® Atom™ Processors
Intel® Xeon Phi™ Processor
3D XPoint™ & Memory Technologies 1
Move  Network
Intel® 1/10/40 Gigabit Ethernet
Intel® Omni Path Architecture
Intel® Quick Assist Technology 3
Persist  Storage
Intel® SSD Pro Series
Intel® Solutions for Lustre* Software 2
DATA
Key Message: To achieve insights from big data, you need the compute, network, and storage resources required to process large amounts of data.
Story:
Additional Information:
The process of manipulating data has some common attributes. It’s likely that you are gathering your data from edge devices, the cloud, or other information sources. Once the data is in your environment, there are three major components of data management.
You will need compute resources to analyze and transform data. Inside the box, this takes the form of data analytics, In-Memory DB, or standard data processing. Outside the box, the data warehouse is transforming the modern enterprise data center. Compute is clearly the major component of analytics for insight, but there are more needs.
A solid network is necessary to move the data to the analytics engine. In some cases, networks and datacenter topologies actually move the analytics engines closer to the data, which reverses the normal trend. Having a good network is key to getting the most out of your data.
Finally, there’s a necessity to store or persist your data in a format that enables you to quickly gain insight. The structure of your data store along with the nearness of the analytics engines make all the difference in garnering information in minutes versus hours.
Intel is a leading supplier of silicon and systems. Additionally, we are growing our software competencies in Big Data. We can be a trusted advisor to you as you begin to scope your Big Data and analytics deployments.
*Other names and brands may be claimed as the property of others.

38. Legacy Infrastructure
“Human Orchestration”
Service Orchestration
Islands of Management VM VM VM VM VM VM
Compute Mgmt
Virtualization
Resource Silos
Servers
Proprietary
Router
Appliance
Proprietary
Firewall
Appliance
Proprietary
VPN
Appliance
Network Mgmt
Lots of Proprietary Platforms
Proprietary
NAS
Proprietary
SAN
Proprietary
Archive
Legacy and Vendor Lock-in
Storage Mgmt

39. Legacy Infrastructure
Self-Service Portal
Service Orchestration
Service Orchestration
Policy-Based Automation
Storage
Controller
Network
Controller
Compute
Controller
Security
Controller
Infrastructure
Attributes
Power
Performance
Thermals
Utilization
Location
Latency
Durability
Security VM VM VM VM VM VM VM VM VM VM VM VM
Compute Mgmt
Virtualization
Virtualization
Compute Pool
Network Pool
Storage Pool
Servers
Servers
VMs
Containers
Virtual Router
Virtual Firewall
Virtual VPN
Virtual SAN
Scale Out Storage
Legacy Storage
Proprietary
Router
Appliance
Proprietary
Router
Appliance
Proprietary
Firewall
Appliance
Proprietary
Firewall
Appliance
Proprietary
VPN
Appliance
Proprietary
VPN
Appliance
Network Mgmt
Virtualization
Servers
Proprietary
NAS
Proprietary
NAS
Proprietary
SAN
Proprietary
SAN
Proprietary
Archive
Proprietary
Archive
Storage Mgmt

40. Hybrid Cloud with bursting capability
Cloud – Intel® Building Blocks Flexibility to Make Workload-Based Decisions
Public Cloud
Enabling: Performance and quality Broad support of Intel architecture ecosystem
Benefit: Excellent for enabling new ideas or unproven workloads
Private Cloud
Enabling: Optimized applications and infrastructure efficiency
Benefit: Excellent for maximizing competitive workloads
Hybrid Cloud with bursting capability
Enabling: Optimized TCO across hybrid infrastructure Fast and agile application/service delivery
Benefit: Excellent for connecting multiple pools of resources, and enabling “invest in base, partner for spikes” deployment model
SYSTEMS Intel® Cloud Technology, Intel® VT-x, Intel® VT-d, Intel® VT-c, Intel® TXT, Intel® AVX2, Intel ® AES-NI, Virtual IPS, SATA SSD, NVMe, Hytrust, DPDK, Intel Security
INTEGRATED TELEMETRY Cache monitoring, Intel® Node Manger 3.0 Orchestration Ecosystem Enablement
Key Messages:
With the hybrid cloud approach, you have the flexibility to use the private or public cloud depending on the workload. For VoIP applications that may experience demand peaks, the rapid scalability of the public cloud may be ideal. For highly sensitive and mission-critical applications, the private cloud is likely a better choice.
Security Throughout story
SDI story (rackscale arch)
NSG enabling
*Other names and brands may be claimed as the property of others.