2017 Cloud Migration Survey Report - CloudEndure€¦ · · 2018-03-112017 Cloud Migration Survey...

2017 Cloud Migration Survey Report

The Most Up-to-Date

Benchmarks, Trends,

and Best Practices

©2017 CloudEndure 2

Executive Summary

Welcome to the third annual CloudEndure Cloud Migration Survey Report. This survey presents benchmarks, trends, and best practices based on responses from 256 IT professionals from around the world, collected through an online survey during January 2017. While some experts have named 2017 “the year of the great migration,” what we have collected here are the practical, technical details behind the hype. How much are companies paying for migration? How many machines are IT departments planning to migrate to the public cloud vs. the private cloud over the next two years? What migration strategies are enterprises using? Key findings from this year’s survey include:

Usage of the public cloud among the companies surveyed will increase by 28% year-over-year in the next 2

years. Private cloud usage will also increase, but by a smaller percentage (15%).

The trend away from virtual and physical machines is expected to continue. The companies surveyed plan to

decrease usage of virtual machines by 20% and physical machines by 18% year-over-year for the next 2 years.

In companies with more than 1,000 employees, public and private cloud usage is expected to grow even more

-- 49% and 18%, respectively, year-over-year for the next 2 years, while virtual and physical machines are

expected to shrink by 13% and 23%, respectively.

When choosing a target cloud platform, the top consideration among the companies surveyed is price (18%).

In 2016, when the top consideration was reliability (22%), price was not even among the top 3 considerations.


As migration technology advances, the challenges facing companies have changed. In 2016, 19.3% of

companies listed technical feasibility as a primary migration challenge, whereas this year only 9.1% expressed

this concern.

Another impact of advances in migration technology is more aggressive downtime goals. This year, 26.5% of

companies stated that they cannot afford any downtime during migration cutovers, whereas in 2016 only

12.5% expressed the need for zero downtime.

While most companies (66%) surveyed utilize both re-architecture and lift & shift migration strategies, when looking at companies with over 1,000 employees, there is a clear preference (68%) for lift & shift.

Half (50%) of the companies surveyed estimate the cost of migration to be between $100-$500/machine, and 17% estimate it costs more than $500/machine. Among enterprise companies, 23% estimate the cost to be more than $500/machine.


Table of Contents

Computing Resources by Location/Type .............................................................................................................................................................. 6

Platforms Used for Production Workloads ........................................................................................................................................................... 7

Private Cloud Platforms Used for Production Workloads ............................................................................................................................... 8

Production Computing Resources Footprint ........................................................................................................................................................ 9

Migration Plans 2017-2019, All Companies .........................................................................................................................................................11

Migration Plans 2017-2019, Enterprise Companies ..........................................................................................................................................12

Primary Drivers for Migration ...................................................................................................................................................................................13

Top Workloads for Migration by Type ...................................................................................................................................................................14

“Downtime Window” Goal for Completing Migration Cutover ....................................................................................................................15

Migration Strategy ........................................................................................................................................................................................................16

Migration Phases in “Man-Months” .........................................................................................................................................................................17

Top Considerations for Choosing Target Cloud Platform ..............................................................................................................................18

Top Migration Challenges ..........................................................................................................................................................................................19

Cost Estimates per Machine ......................................................................................................................................................................................20

Respondent Demographics ........................................................................................................................................................................................22

Table of Figures .............................................................................................................................................................................................................25


Current Computing Environment


Computing Resources by Location/Type

Looking at the current computing

resource split by location/type, 28% of

computing resources are hosted in the

public cloud, 39% use VMs, 23% physical

machines, and 10% private clouds.

This division is likely to change

dramatically in the next few years. See

p.10 for data on migration plans for 2017-

2019.

Figure 1: Current computing resources split by location/type

28%

39%

23%

10%

Public cloud Virtual machines Physical machines Private cloud


Platforms Used for Production Workloads

Looking at current production workloads

by platform (not including physical

machines), Amazon Web Services (AWS)

and VMware appear to dominate the

market -- together comprising 71% of

platforms used by respondents.

All other platforms account for less than a

third (29%), including Microsoft Hyper-V

(6%), Google Cloud Platform (4%), and

Citrix XenServer (4%).

(Note: If respondents use more than one

platform, we asked them to choose the most

critical one.)

Figure 2: Platforms used for production workloads

VMware vSphere42%

Amazon Web Services

29%

Microsoft Hyper-V6%

Google Cloud Platform

4%

Citrix XenServer4%

Other15%


Private Cloud Platforms Used for Production Workloads

Private clouds are clearly dominated by

OpenStack platforms (73%), with VMware-

Integrated OpenStack (36%) the most

commonly used OpenStack platform.

CloudStack accounts for just 15% of the

private clouds used by respondents for

production workloads.

Figure 3: Private cloud platforms used for production workloads

VMware-Integrated OpenStack

36%

Other OpenStack Platforms

21%

CloudStack15%

RedHat OpenStack11%

SUSE OpenStack5%

Other12%


Production Computing Resources Footprint

Among the companies surveyed, 26% have

more than 1,000 production machines

whereas 51% of companies with over 1,000

employees have more than 1,000

production machines.

Figure 4: Production computing resources footprint across all locations

9%12%

17%

7%

20%

9%

26%

4%2%

7% 7%

20%

9%

51%

<10 10-25 26-50 51-100 101-500 501-1,000 >1,000

All Companies

Over 1,000 Employees


Migration Plans


Migration Plans 2017-2019, All Companies

When looking at migration plans across all

organizations surveyed, the public cloud is

expected to grow by 28% year-over-year

and the private cloud by 15%.

Conversely, virtual machines are expected

to decline by 20% year-over-year and

physical machines by 18%.

Figure 5: Computing resources split by platform 2017-2019

28%

42%

46%

39%

28%25%

23%

18%15%

10% 12%14%

Today +1 Year +2 Year

Public cloud

Virtual machines

Physical machines

Private cloud


Migration Plans 2016-2018, Enterprise Companies

When looking at organizations with 1,000

or more employees (39% of the companies

surveyed) we see different migration plans

and year-over-year growth expectations.

Public cloud usage is expected to grow by

49% and private cloud usage by 18% year-

over-year during the next 2 years.

On the flip side, virtual machines are

expected to decrease in use by 13% and

physical machines by 23% year-over-year

during the next 2 years.

Figure 6: Computing resources split by platform 2017-2019,

organizations with more than 1,000 employees

15%

31%34%

52%

43%39%

24%

15%14%

9% 10%13%

Today +1 Year +2 Year

Public cloud

Virtual machines

Physical machines

Private cloud


Primary Drivers for Migration

In 2017, the top three drivers for

migration are:

1. Cost (23%)

2. Security & Compliance (20%)

3. High Availability (18%)

In 2016, the top three drivers were:


2. Reliability (21%)

3. Cost (21%)

Figure 7: Top drivers for migration

23%

20%

18%

15%

13%

10%

Cost

Security & Compliance

High Availability

Reliability

Scalability

Application Support


Top Workloads for Migration by Type

There is a clear breakdown of migration

workloads into three distinctive groups.

At the top of the list, workload types are

focused on web applications,

testing/development, websites, and

databases.

At the bottom of the list, unsurprisingly,

we see the “heavy-weight” enterprise

applications such as CRM, ERP, and

eCommerce/Online Tools.

Figure 8: Top workloads for migration by type

14.6%

12.6%

11.7%

11.5%

10.9%

7.9%

7.9%

6.5%

6.3%

5.4%

4.6%

Web Apps

Application Test/Dev

Website

Database

Email (e.g. Exchange)

Custom Business Application

File Server

Business Analytics

CRM

ERP

eCommerce and Online Tools


“Downtime Window” Goal for Completing Migration Cutover

As migration technology advances,

companies have set more aggressive

downtime goals for themselves.

This year, more than a quarter (26.5%) of

companies stated that they cannot afford

any downtime during migration cutover,

whereas in 2016 only 12.5% expressed the

need for zero downtime.

Figure 9: “Downtime Window” goals for completing migration cutover

27%

29%

26%

13%

4%2%

13%

31%33%

16%

6%

1%

Cannot haveany downtime

Less than 1 hour 1-10 hours 11-24 hours 1-7 days More than 1week

2017

2016


Migration Strategy

A vast majority (66%) of respondents stated that they utilize a combination of Lift & Shift and Re-Architecting migration strategies. However, among enterprise companies, there is a very clear preference for Lift & Shift, with 68% stating that they use only this migration strategy.

Figure 10: Migration strategy

12%

23%

66%68%

5%

27%

Lift & Shift Re-architecting Lift & Shift andRe-architecting (Mix)

All Companies



Migration Phases in “Man-Months”

We asked respondents how many “man-

months” they spend on average on four

migration phases.

“Man-months” refer to the number of

people involved in the project multiplied

by the number of months spent on each

phase. (e.g. 3 people working on planning

for 2 months is considered 6 “man-

months.”)

The migration execution phase lasted on

average 18 “man-months” and close to

half (44%) of a total project’s time, with

planning taking 8 “man-months” (19%).

Figure 11: Migration phases in “man-months” and percentages

Planning, 8, 19%

Proof of Concept, 9, 23%

Migration Execution, 18, 44%

Test & Optimize (post migration), 6,

14%


Top Considerations for Choosing Target Cloud Platform

The top three considerations for choosing

a target cloud platform are:

1. Price (18%)



In 2016, price did not make it to the list of

top three considerations. The top

considerations were:




Figure 12: Top considerations for choosing target cloud platform

18%

17%

17%

15%

9%

8%

6%

6%

4%

Price


Reliability

High Availability

Application Support

Agility/Flexibility

Reputation

Automation

Existing Relationships with Vendor(e.g. being a Microsoft shop)


Top Migration Challenges

As the migration technology improves, the

challenges facing companies have evolved.

Technical challenges are less of a concern

(9.1%) while staying within tight IT

budgets is now a greater concern (19.1%)

than in previous years.

Top migration challenges in 2017:

1. Minimizing Downtime (22.1%)

2. Staying Within Budget (19.1%)

3. Performance Impact (16.4%)

Top migration challenges in 2016:

1. Minimizing Downtime (25.5%)

2. Performance Impact (20.2%)

3. Technical Challenges/Feasibility (19.3%)

Figure 13: Top migration challenges

22.1%

19.1%

16.4%

13.1%

11.7%

9.1%

8.4%

Minimizing Downtime

Staying Within Budget

Performance Impact onProduction

Minimizing Data Loss


TechnicalChallenges/Feasibility

Maximizing Automation


Cost Estimates per Machine

Half (50%) of the companies surveyed estimate the cost of migration to be between $100-$500/machine, and 17% estimate it costs more than $500/machine. Among enterprise companies, 23% estimate the cost to be more than $500/machine.

Figure 14: Estimated cost to migrate per machine

9%

25%

28%

22%

8%9%

11%

22%

27%

18%

7%

16%

Less than $10per machine

$10-100 permachine

$101-200 permachine

$201-500 permachine

$501-1000 permachine

$1,000+ permachine

All Companies



Respondent Demographics



Most of the survey respondents serve more

than one type of customer.

Just over 40% of companies serve

enterprises, 30% serve consumers, and 29%

serve small businesses.

Figure 15: Type of customers served

Consumers

30%

Enterprise

41%

SMB

29%



While 32% of survey respondents come

from organizations with up to 100

employees, 29% have 101-1,000 employees

and 39% have more than 1,000.

Figure 16: Number of employees

Twenty-two percent (22%) of respondents

are with companies that have less than

$10 million in revenue, 27% work for

companies with $10-100M in revenue, and

51% are with companies that have

revenues of more than $100M.

Figure 17: Annual revenue

17%15%

29%

14%

25%

1-50 51-100 101-1,000 1,001-5000 >5,000

22%

18%

9%

25% 26%

< $10m $10-$50m $50-$100m $100m-$1B > $1B



Of this year’s respondents, over one-third

(34%) are responsible for cloud

technologies and 37% work in IT

operations.

Figure 18: Job responsibility

This year’s respondents hold a wide range

of positions at their companies. One-third

(32%) are in director or manager positions,

and 21% are VPs or C-level executives.

Figure 19: Position in the organization

IT37%

Cloud (Ops, Architecture etc.)

34%Security & Compliance

6%

Application Development

5%

Dev Ops3%

DR & BC3%

Network2%

Other10%

Team Leader20%

Team Member18%

Manager16%

Director16%

C-level12%

Vice President9%

Other9%


Table of Figures

Figure 1: Current computing resources split by location/type, today ................................................................................... 6

Figure 2: Platforms used for production workloads ............................................................................................................... 7

Figure 3: Private cloud platforms used for production workloads ......................................................................................... 8

Figure 4: Production computing resources footprint across all locations .............................................................................. 9

Figure 5: Computing resources split by platform 2017-2019 ............................................................................................... 11

Figure 6: Computing resources split by platform 2017-2019, organizations with more than 1,000 employees .................. 12

Figure 7: Top drivers for migration ...................................................................................................................................... 13

Figure 8: Top workloads for migration by type .................................................................................................................... 14

Figure 9: “Downtime Window” goals for completing migration cutover ............................................................................. 15

Figure 10: Migration strategy ............................................................................................................................................... 16

Figure 11: Migration phases in “man-months” and percentages .......................................................................................... 17

Figure 12: Top considerations for choosing target cloud platform ...................................................................................... 18

Figure 13: Top migration challenges .................................................................................................................................... 19

Figure 14: Estimated cost to migrate per machine .............................................................................................................. 20

Figure 15: Type of customers served.................................................................................................................................... 22

Figure 16: Number of employees ......................................................................................................................................... 23

Figure 17: Annual revenue ................................................................................................................................................... 23

Figure 18: Job responsibility ................................................................................................................................................ 24

Figure 19: Position in the organization ................................................................................................................................ 24


About CloudEndure® All Systems Go. CloudEndure provides Cloud Migration and Cloud Disaster Recovery for any application, allowing companies to mobilize entire applications with their data to and across clouds with near-zero downtime and no data loss. CloudEndure enables truly consistent, block-level, real-time replication using continuous data protection (CDP). Founded in 2012, CloudEndure’s Cloud Workload Mobility technology creates an exact copy of the entire application at an alternative cloud location -– at the touch of a button, within minutes, and with the latest data. CloudEndure supports physical, virtual, and cloud-based applications as the source and Amazon Web Services (AWS), Google Cloud Platform, and Microsoft’s Azure as target cloud locations. For more information, please visit www.CloudEndure.com.

http://www.cloudendure.com/

https://www.cloudendure.com/request-a-demo/

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