Hyperconverged: The Next Computing Model for Digital ... · An IDC InfoBrief | Hyperconverged: The Next Computing Model for Digital Transformation (DX) Success Datacenter Survey 2017

Hyperconverged:The Next Computing Model for Digital Transformation (DX) SuccessAn IDC InfoBrief July 2017

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The rise of the DX economy: A case for business value-driven IT

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By 2017, revenue growth from digital products and services will be 2X that from the traditional product portfolio.

By 2018, company investments in IoT and cognitive-based operational sensing and situational awareness will yield a 30% improvement in critical process cycle times.

By 2022, nearly 20% of operational processes will be self- healing and learning – minimizing human intervention.

“Invisible” IT resources that are adaptable to changing business needs and not require much customization.

Agile and scalable resources that can rapidly aggregate and analyze multivariate data.

Dynamic in-sensing technology to meet the changing gravity of transactions and provide more compute-store-memory as necessary.

Changing business models

An IDC InfoBrief | Hyperconverged: The Next Computing Model for Digital Transformation (DX) Success

Changing IT Requirements

Leadership mastery

Omni Experience

Information Operating model Worksource

Tech-savvyCEO

Customer advocacy

Information-based offers

Agile operations

Openinnovation

25% of top executives will

have technology leadership expertise.

65% of organizations that allow customers

to own their experiences will

realize significantly better Net Promoter

Scores.

45% of top 1000 companies will

generate 2x revenue growth

from information-based products

vs. the rest of their portfolio.

20% of operational processes will be

self-learning and self-healing.

Top 1000 companies will use open innovation to increase their new

product introduction success rate by

50%.

DX is driving the need for a more immersive IT

Source: IDC Asia/Pacific FutureScapes 2017 (Timeline 2020 and % apply to Asia/Pacific Marketplace)

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Transformation to agile IT

As the line-of-business threatens to look outside for more relevant IT options, CIOs have sensed the urgency to transform quickly or risk becoming less relevant in the new digital economy agenda.

The journey starts by getting away from legacy and building a more shared and automated environment – almost mirroring the benefits of cloud.

Tightly coupled hardware-software and software-defined infrastructure seems to have struck a chord in building agile IT.

TOP IT PRIORITIES OF ASIA/PACIFIC ENTERPRISES

Modernizing traditional core business-critical applications

Investing in automation and system management SW tools

Migrating applications off mainframes and RISC/Itanium servers to x80 servers

Invest in SW-defined storage solutions

26.6%

23.8%

15.4%

14.1%

4

Source: IDC AP Enterprise Computing & Datacenter Survey 2017An IDC InfoBrief | Hyperconverged: The Next Computing Model for Digital Transformation (DX) Success

Agility’s multifaceted challengeThe new applications and enterprise infrastructure needed to support DX efforts present key questions for IT management to consider:

How can we build a more agile datacenter?

How can we deliver compute/store/connect on

demand?

How can we get better answers faster?

AGILE DEVELOPMENT AND AGILE IT

AGILE ACCESS TO IT RESOURCES

AGILE DATA EXPLOITATION

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Agility depends on having access to resources when required

Operating Expenses

Sho

rter

Tim

e to

Pro

visi

on

Avg 10 weeks to deploy

4x OPEX to CAPEX

Traditional

MONTHSTO

DEPLOYVirtualization

DAYS

Integrated

HOURS

SD(x)?

MINUTES

% of apps reach thresholds

Flips from saving to costs

Improved staff productivity

Faster time to provision

Reduced downtime or

improved high availability

Improved compute

Reduced datacenter power

and cooling

Improved security

Hybrid cloud support

Workload portability

Traditionally servers were built-to-task and tied tightly to the application they hosted. The mindset was more towards dedicated resources for eachapplication as scale-up was the natural intent.

However, with virtualization the notion of shared infrastructure became popular, and the applications tended to be built more on a scale-out premise. Enterprises started to look at provisioning in weeks and days rather than months, and provisioning and automation software took centerstage in agile deployment.

Hyperconvergence has helped push the envelope on scale, availability and instant deployment to the next level.

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Delivering agility across the organization7

IT Owned/CIO Drivenpotentially MSP run

IT Owned/App Owner Drivenoften MSP run

IT Evangelist/BU Leader

Operational efficiencyPredictable expansionLess over-provisioning

DB, EPIC…., VDIFaster deploymentPredictable performance

Mobile or analytic services (precision medicine)Fast geo expansionRapid service expansionMonetize data assets

The infrastructure requirements and expectations will vary by different stakeholders in an organization. The priorities are linked to the outcomes they care about, although there are some commonality in building an optimally balanced agile, predictable and secure IT.

Consider their different motivations: the datacenter administrator looks for an optimal infrastructure fabric that helps build more predictability in the provisioning of resources, while the DevOps team may be additionally looking at affinity of the application to be hosted on infrastructure. For the business units, they may look at flexibility of the solution to adapt to specific business goals as well as replicability of the model.

DatacenterTransformation

Application Specific

New Service Creation


Top drivers of hyperconvergence8

VM-level managementReduced complexityDedupe/compression

Alignment of skill set to business needsReduced data center silos

Faster time to revenue

Improved lifecycle managementNo forklift upgrades/refresh

Improved DR/HA

Standardized x86 building blocksReduced overprovisioning

Reduced facility costs

Efficiency Agility Reduced Risk Lower Costs

IDC is optimistic about the the acceptance and growth outlook for hyperconverged systems since they come good on a number of relevant features required in the cloud-ready infrastructure of the future.

There are a number of primary requisites of the transformative infrastructure that a cloud-ready enterprise is looking for today.


Converged/Hyperconverged systems adoption intent in Asia/Pacific

Hybrid cloud and cloud infrastructure investments from enterprise and cloud service providers

Edge infrastructure requiring rapid compute and storage scalability

Virtual desktop infrastructure (VDI) solutions that will benefit from the tightly coupled and integrated server-storage-software defined management software in hyperconverged systems AP

ex-JapanChina India Singapore Australia Indonesia

35%

30%

25%

20%

15%

10%

5%

0%

9

The outlook for hyperconverged systems looks promising through 2020. IDC expects more general purpose servers to be replaced during refresh cycles over the next few years.

3 areas that will drive adoption:

Percentage of respondent organizations that have deployed or are testing or planning to deploy

Source: IDC AP Continuum Survey 2016An IDC InfoBrief | Hyperconverged: The Next Computing Model for Digital Transformation (DX) Success

Hyperconverged systems to reduce redundancies and improve efficiency

Improved utilization of compute and storage

resources

Improve ITstaff productivity

Reduction in Application

Development cycle

Higher applicatrion availability/reduce

downtime

Improve faster time to market/business

agility

Faster infrastructure and application and

provisioning

30%

20%

10%

0%

10

Top benefits of converged/hyperconverged systems

“Pay as you grow” is the new philosophy which sits nicely with the strengths of hyperconverged systems

Agile app deployment cycle is another critical need within the datacenter

Source: IDC AP Enterprise Computing & Datacenter Survey 2017An IDC InfoBrief | Hyperconverged: The Next Computing Model for Digital Transformation (DX) Success

Where hybrid IT will drive hyperconverged adoption11

Public cloud spending fueled almost equally by enterprise and consumer Web services

Server spending driven by public cloud much smaller than what is perceived due to the strong hype created by public cloud providers

Private cloud spending is not the same as server virtualization

Customers remain fairly conservative and risk-averse in Asia/Pacific, which explains the high share for traditional IT

As enterprises straddle across various datacenter models, hyperconverged remains most appealing in the highly virtualized workloads and those embarking on private and public cloud buildouts.

Server Spending: 2015 vs 2020

Premises

Shared

Dedicated

On Off

Private Cloud

12.4%16.8%Traditional IT

Public Cloud

Hosted IT

16.4%

5.1%66.0%

24.6%

4.6%53.9%

Res

ourc

es

Source: IDC Asia/Pacific Cloud IT Infrastructure Tracker, Q2 2016, Sep 2016An IDC InfoBrief | Hyperconverged: The Next Computing Model for Digital Transformation (DX) Success

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Digital transformation is driving CIOs to rethink their IT strategy and implement tech solutions to stay relevant in the new digital economy.

Given the flexibility, agility and scale requirements of next-generation apps, it makes sense to transform the datacenter towards new platforms that are less rigid in their approach.

The need for on-demand scale will drive the deployment of self-serviced infrastructure like hyperconverged that is easily managed and provisioned based on the workload requirements.

Another opportunity for hyperconverged systems is building up with edge infrastructure that will require to be instantly provisioned, scale to need, and software defined to hide the underlying complexities of integration .

Summary

This IDC InfoBrief was produced by IDC Custom Solutions. Copyright 2017 IDC. Any IDC information or reference to IDC that is to be used in advertising, press releases, or promotional materials requires prior written approval from IDC. For more information, visit: www.ap.idc.asia or email: [email protected] by

Hyperconverged:The Next Computing Model for Digital Transformation (DX) SuccessVisit: www.thinksolution.asia to learn more about Lenovo hyperconverged infrastructure

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Hyperconverged: The Next Computing Model for Digital ... · An IDC InfoBrief | Hyperconverged: The Next Computing Model for Digital Transformation (DX) Success Datacenter Survey 2017