data center revolution the growing impact of software defined infrastructure

Data center (r)evolution:The growing impact of software-defined IT

TBR Webinar: Data center (r)evolution | 6.24.15 | www.tbri.com | ©2015 Technology Business Research Inc. 2

Christian PerryPrincipal Analyst and Practice Manager, Data Center

Email: [email protected]: @ITwriter

Data center (r)evolution — Speakers

Stanley StevensSenior Analyst, Storage

Email: [email protected]: @steamer1905

mailto:[email protected]



Software-defined IT grows critical to data center evolution

• Software-defined data center is a vision or “marketecture.”

• Next-generation IT infrastructures will require software-defined networking and software-defined storage.

• Software-defined IT will change—or force—the roles of IT personnel.

• Software-defined infrastructures will be a game-changer for enterprises that adopt it and vendors that deliver it.

Data center (r)evolution — Overview

TBR Webinar: Data center (r)evolution | 6.24.15 | www.tbri.com | ©2015 Technology Business Research Inc.

Software-defined data center: The vision (marketecture) definedData center (r)evolution — Data center evolution

Software-defined

• Tablets, smartphones• Mainstream virtualization/cloud• SLAs• Converged/unified storage• Centralized management

• Client/server; file share• Physical hardware• Shared, best-effort transport• Distributed• Fibre Channel• Device management

1990s

Mid-2000s to 2015

• Desktops, laptops, cellphones• Early-stage virtualization• Dedicated, QoS transport• Sprawls and siloes• iSCSI

Early 2000s

• Sensors• Open-source cloud• Real-time SLAs• Hyperconverged• Mainstream centralized

management (software-defined IT)

Beyond 2015

4


Software-defined technologies are changing the role of ITData center (r)evolution — IT role transformation

App-centric New personae Internal sales Cross-functional

IT organization strategy will shift from

traditional model to an application- and data-centric model.

IT personnel take on new personae:

evangelist, politician and strategist.

Internal sales become critical, with a focus

on “as a Service.”

Membership in cross-functional teams bridges the gap

betweeen IT and business.


Management challenges and the need to eliminate complexity are driving customer interest in software-defined

Data center (r)evolution — IT role transformation

• The benefits delivered—or promised—by software defined are fueling billions of dollars in opportunity for vendors.

• IT organizations are under pressure to handle quickly evolving business requests.

• Alternate infrastructures are expanding quickly in data centers to bring customers closer to software-defined IT reality.


Software-defined storage: Separating the hype from reality

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Data center (r)evolution — SDS Definition

Facts, Goals, Challenges

There is no current standard, so definitions vary and can be confusing. SNIA definition: The abstraction and simplification of network storage management

SDS promises heterogeneous, multivendor management of storage environment, and storage management for commodity hardware via SDS software.

Back-end planning and administrations still requiredFirmware still requiredROI can take several years.Rising costs and controls impact opex and capex components of savings.

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FACTS

GOALS

CHALLENGES


Market dynamics drive, impact and complicate how IT organizations address storage

VirtualizationThe creation of virtual machines and desktops became pervasive across IT and placed a requirement on storage to virtualize.

Big Data and Analytics

Cloud Computing

Hybrid IT

The adoption of digital and social media led to new technologies, including object and unified storage.

Automation and orchestration tools required new storage management in the form of software-defined storage.

Lines of business look to “as a Service” offerings to address departments needs.

Data center (r)evolution — SDS trends and drivers

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Storage growth Increased demand for storage driven by mobile, cloud, big data and social networking

CHALLENGE 1Storage management Multiple platforms and storage types result in the creation of disparate storage silos.

Proactive planningInability to gather and manage storage performance metrics and capacity planning in real time

Departmental autonomyInability to map storage utilization back to lines of business for chargeback and accountability

Data center evolution is sparking challenges to traditional storage infrastructure and storage management

RISING COST AND COMPLEXITY

Data center (r)evolution — SDS challenges

CHALLENGE 2

CHALLENGE 3

CHALLENGE 4

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Software-defined networking (SDN) Network functions virtualization (NFV)

Definition • An architecture that decouples the control plane (forwarding function) from the data plane (destination function)

• SDN further abstracts the control plane from applications and network services, which enables direct control and programmability of network switches and the underlying infrastructure.

• A network architecture that virtualizes network device functions such as load balancers, firewalls, intrusion detection and WAN accelerators

• Uses commercial off-the-shelf hardware and one or more virtual machines that support different software and processes

Focus Data center networks Service providers networks

Benefits Increased network agility, flexibility and reliability/uptime

An open ecosystem that simplifies and accelerates the deployment of network services while improving opex and capex

Protocols OpenFlow None

Standards bodies Open Networking Forum (ONF) ETSI NFV Working Group

Common applications Cloud orchestration and networking Network devices (routers, firewalls, CPE, IDS)

Market adoption • 2014 to 2015: Early trials for large enterprise• 2016: Gradual migration to production

networks• 2019: Mainstream adoption as vendor

solutions and standards mature

• 2014: Standards evolve, Tier 1 operators mandate NFV and suppliers begin investing in NFV

• 2015: Tier 1 operators begin implementation phase• 2018: Tier 1 operators scale NFV and begin to

replace legacy equipment.

Software-defined networking presents a complex ecosystemData center (r)evolution — SDN Definition

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Customer adoption of SDN will increase gradually, accelerating as the technology becomes more prevalent in mature networksSDN Customer Adoption Trends Overview

TBR believes SDN, despite offering a variety of clear benefits, requires further progress — namely, greater customer awareness, a more clear and easily understandable business case, and further clarity as to which group in the IT organization is responsible for deciding which SDN architecture to implement — to entrench itself in the broader enterprise market and drive meaningful supplier revenue.

The early adopter phase of SDN will begin in 2016 as vendors complete successful trials and solidify the business case. SDN deployments will be mainstream by 2019, with most enterprises having implemented some form of the technology in their networks.

Accelerated adoption of SDN will happen in developed markets first. This is particularly true in the U.S., where the majority of deployments have taken place, customers are more apt to consider emerging technologies such as SDN and the majority of SDN vendors are based.

Data center (r)evolution — SDN Overview

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Lack of customer awareness/understandingReduced need for intelligent and expensive hardware

SDN Drivers and Inhibitors Summary

SDN offers a variety of benefits to enterprises, but obstacles to its widespread adoption remain

Increased network agility, flexibility and reliability/uptime

Increased operational efficiency

Lack of a clearly defined business case

Adoption Drivers Adoption Inhibitors

Software-based purchasing and deployment model

Technical complexity

Standards and vendor solutions still immature

Conflict in decision making between network and server teams

Vendors will overcome the obstacles inhibiting enterprise adoption of SDN by educating customers on the benefits

of the technology and vendor solutions, helping IT make a strong business case and supporting industry standards as

they develop.

Data center (r)evolution — SDN Drivers & Challenges

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Opportunities

Software-defined IT unveils threats for established hardware vendors, but opportunities exist

Threats

• Software-defined IT (SDIT) will contribute to a faster adoption rate for commodity hardware (switches and storage) versus traditional hardware.

• SDIT will negatively impact revenue for traditional IT hardware vendors.• Unproven SDIT architectures can slow or disrupt deployment cycles. • SDIT can create a false positive around the initial value that SDIT will

deliver to data center ecosystems.

Data center (r)evolution — Software-defined IT Threats and Opportunities

• SDIT will create acquisition targets of niche startups by IT and CT vendors.

• New market potential exists via closer partnerships with telco operators. • Drive strategic-level engagements with C-level decision makers. • There is a higher margin potential via software-led strategy versus

hardware.

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Vendor Landscape: SDS

Traditional storage vendorsKey Vendors• HP• IBM• Dell• EMC

• Traditional storage vendors are providing SDS platforms for dual purposes.

• The first purpose is to provide single-pane management for disparate storage platforms.

• The second purpose is to address the market shift to commodity hardware.

Software vendors Key Vendors• Symantec

(Veritas)• Red Hat• VMware• Microsoft

• Software vendors continue to be a major competitive threat to hardware vendors.

• These vendors will continue to leverage open standards to drive their SDS initiatives.

SDS is causing market confusion and opportunities across all vendor segments

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Startups Key Vendors• Coho Data• Primary Data• Nutanix

• Since the mid-2000s, startups have been entering the SDS market, leveraging commodity hardware.

• Some vendors are focusing efforts on emerging trends with tremendous market potential, such as hyperconverged.


Vendor Landscape: SDN

Proprietary hardware and SDN controller Key Vendors• Arista• Brocade• Cisco• HP• Juniper

• Traditional network hardware vendors seek to leverage their install bases to drive sales of new SDN-enabled solutions.

• Vendors such as Cisco are looking to make a strong case that their proprietary solutions are less risky and offer a greater ROI than solutions that combine virtualization software and commodity hardware.

Network overlay software Key Vendors• Big Switch• Cumulus• Microsoft• Oracle• VMware

• SDN has attracted a host of startups and established software vendors, with the latter looking to leverage their success in server virtualization to expand into the network domain.

• The approach of these vendors involves providing solutions that are hardware-agnostic, enabling customers to derive many of the benefits of SDN through a purely software-based approach without changing the underlying hardware infrastructure.

SDN lowered the barrier to entry in the networking space, creating new competitors for hardware vendors

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Software-defined IT will disrupt traditional markets increasingly, delivering opportunity for vendors that make the shift

• Software-defined data center remains primarily a vision, tied closely to marketing efforts.

• The future of enterprise IT infrastructure will rely on the game-changing technologies of SDS and SDN.

• The role of IT will change along with the rise of software-defined technologies.

• Software-defined infrastructures will be a game-changer for enterprises that adopt it and vendors that deliver it.

Data center (r)evolution — Summary


Questions?

Data center (r)evolution — Q&A


TBR’s SDN Market Landscape analyzes the strategies of leading and emerging vendors in the software-defined networking market. This report highlights current and emerging market opportunities and details major drivers and trends shaping the market.

TBR’s Hyperconverged Platforms Market Landscape analyzes the strategies of leading and emerging vendors in the hyperconverged platforms market. This report highlights current and emerging market opportunities and details major drivers and trends shaping the market.

TBR tracks data center convergence regularly through extensive market research

Data center (r)evolution — Related Research


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Data center (r)evolution — Contact Information

Christian PerryPrincipal Analyst and Practice Manager, Data Center

Email: [email protected]: @ITwriter

Stanley StevensSenior Analyst, Storage

Email: [email protected]: @steamer1905


https://twitter.com/TBRinc

http://www.slideshare.net/TBR_Market_Insight

http://www.youtube.com/user/TBRIChannel

https://www.linkedin.com/company/technology-business-research




TBR Data Center Syndicated Coverage

Data Center Syndicated Research Coverage

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• Check Point Software Technologies*• Cisco Systems Inc.• Dell Corp.• EMC• Fujitsu• HP Corp.• HP Telecom and Mobility*• Huawei*

• IBM• Intel Corp.• Intel Security*• Juniper Networks• Lenovo Group• NetApp• Palo Alto Networks*• Symantec Corp.

• Converged Systems Market Landscape*• Hyperconverged Platforms Market

Landscape*• SDN Market Landscape*

Data Center Benchmarks Data Center Customer Research

• Data Center Benchmark• Data Center Server and Storage Market Forecast*• Enterprise Network Vendor Benchmark*• Enterprise Networking Market Forecast**• Enterprise Security Benchmark*• Network Infrastructure Services (NIS) Benchmark

*Semiannual publication**Annual publication

20

• Hyperconverged Platforms Customer Study*

• Corporate IT Buying Behavior & Customer Satisfaction Study: x86-based Servers

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