© 2013 Amazon.com, Inc. and its affiliates. All rights reserved. May not be copied, modified, or distributed in whole or in part without the express consent of Amazon.com, Inc.

Life Technologies' Journey to the Cloud Mark Field, CTO, Life Technologies

November 13, 2013

© 2013 Amazon.com, Inc. and its affiliates. All rights reserved. May not be copied, modified, or distributed in whole or in part without the express consent of Amazon.com, Inc.

Life Technologies' Safe Harbor Statement This presentation includes forward-looking statements about our anticipated results that involve risks and uncertainties. Some of the information contained in this presentation, including, but not limited to, statements as to industry trends and Life Technologies' plans, objectives, expectations and strategy for its business, contains forward-looking statements that are subject to risks and uncertainties that could cause actual results or events to differ materially from those expressed or implied by such forward-looking statements. Any statements that are not statements of historical fact are forward-looking statements. When used, the words "believe," "plan," "intend," "anticipate," "target," "estimate," "expect" and the like, and/or future tense or conditional constructions ("will," "may," "could," "should," etc.), or similar expressions, identify certain of these forward-looking statements. Important factors which could cause actual results to differ materially from those in the forward-looking statements are detailed in filings made by Life Technologies with the Securities and Exchange Commission. Life Technologies undertakes no obligation to update or revise any such forward-looking statements to reflect subsequent events or circumstances.

About Life Technologies

• $3.8 billion revenue (2012) • 10,000 employees • 1,500+ scientists • 180 countries • 50,000+ products • 5,000+ patents & licenses • 675,000+ citations

Shaping discovery. Improving life.

To support scientists worldwide, we offer high-quality, innovative products and services – from everyday essentials to sophisticated instruments.

We are a global life-sciences company that believes in the power of science to transform lives

4

What We Do

Our products enable and accelerate research in all areas from discovery to biologics to applications, improving the

human condition

Accelerating Scientific Discovery

Applying Biology Beyond Research

Molecular Diagnostics

The Pervenio™ Lung RS test indicated that Jamie Gonzalez,

a mother of two who underwent surgery to remove a tumor in her lung, had a very high risk of cancer recurrence. She started on chemotherapy

and is now cancer free.

Whole-genome sequencing has enabled doctors to provide the Beery twins with a simple, highly effective treatment for a

rare condition.

Life-Changing Medicine

This Is Why We’re Here

Two Disruptive Technologies Collide Cloud Computing Genetic Sequencing

Perhaps the most useful tool ever developed to explore the mysteries of human development and disease

Cloud Computing is the most disruptive technology in the first decade of the twenty-first century

Genetics • The Human Genome Project was a milestone in science • Creating the reference genome is the starting point to

unraveling the mystery of biology • We have the tools and know how to read, write and

understand DNA • Over the next decade we are going to see developments

in medical science that will forever change the way we live • Living long and healthy is the most important are of all

scientific achievements

“In the Next 10 Years, Data Science Will Do More for Medicine than All Biological

Sciences Combined” Vinod Khosla Venture capitalist and founding Chief Executive Officer of Sun Microsystem September 2013

Steps to Obtaining Biological Insight We Can Use

1. Transform biological data into digital data 2. Analyze digitized biological data to gain knowledge 3. Use the knowledge to take informed actions

We can do that! But it’s not that simple…

Transform Biological Data into Digital Data • Thousands of scientists around the world are working hard to understand the functions

of DNA and RNA • The digitization of biology is critical to understanding the mystery of how life functions • Sophisticated Instruments from Life Technologies and others do this transformation

– Ion Proton : Full Human Genome Sequencing – QuantStudio 3D: digital PCR

• Where do we store all this data? – Locally on customer storage – Increasingly data is being stored in the cloud

Biological Data Challenge Digitizing biology produces huge volumes of data

• 3.2 billion base pairs in the human genome. CGATTTAGGCCT… • One person’s genome from one cell written on a ticker-tape would

stretch from NY to LA – Requires massive compute resources to sequence and analyze – Life Tech instruments create an estimated 10 petabytes of data

in 2013 – Most researchers and scientists don’t have easy and affordable

access to the IT services that the biological data demands

Analyze Digitized Biological Data to Gain Knowledge • Complex algorithms and software are the essential tools to understanding

biological data • The computing resources to do this are often huge

– Genetic sequencing alignment requires massive compute resource few could afford

• Use reference data banks to recognize the biology and know what it does • As the biology and scientific knowledge improves, you need to maintain

the most up-to-date knowledge bases and provide low-cost global distribution of knowledge

• Aid the collaboration and participation of all the world’s researchers • The most efficient way to provide the compute, data and collaboration is

via cloud

Using Biological Knowledge to Take Informed Actions

• Application of biological knowledge is very diverse – Cancer is a clear case – Rare genetic disease via inheritance – Human identification: CSI-type applications helping law enforcement – Synthetic biology: Huge potential in biofuel, food production

• All require unique applications • Innovative bio apps are being built on the cloud and

will have profound impact on all we do – 23andMe.com (great value at just $99)

The Cloud Powers Life Tech’s Digital Hub

Collaborative space to work securely

Instrument integration

Powered by a powerful cloud infrastructure

Storage | Compute | Network External

Data

Data integration

Marketplace to buy products and service

Vast array of innovative applications

Genomics and Cloud Computing Tackle Cancer

We Are Living Longer

Source: U.S. Bureau of the Census 2010

AVERAGE LIFE EXPECTANCY AT BIRTH FOR MALES AND FEMALES, 1900–2010 IN THE UNITED STATES

Cancer Will Be the Leading Cause of Death

Cause of Death by Age Group

Cancer Facts • Half of all men and one-third of all women will develop

cancer in their lifetime • Cancer is a disease of cells • Cancer begins when DNA is damaged in your cells

causing those cells to grow out of control

Cancer and Genetics • Advances in genetics and molecular biology have improved our

knowledge of the inner workings of cells • Knowledge and understanding of genetics is helping researchers

develop better ways understand, detect and possibly even cure cancer

• Sequencing cancer DNA and then analyzing the sequence is how we get the insights into cancer

• Sequencing cancer converts the chemical code of DNA into a digital code that computers can store and analyze

• Knowledge databases store the known genetic markers of cancer

The Cloud Powers Life Tech’s Digital Hub Vast array of innovative applications

Collaborative space to work securely

Instrument integration

Powered by a powerful cloud infrastructure

Storage | Compute | Network External

Data

Data integration

Marketplace to buy products and service

Nice Vision, But How Do You Do That?

• Cloud Infrastructure: Build or buy • Bioinformatics platform: Build it because

you can’t buy it • Applications : Build, buy, and partner

Life Selects AWS as Infrastructure Cloud Partner

Cloud Provider Landscape (2011) Infrastructure-as-a-Service

Market Share Leader AWS Leader in 2011 Gartner IaaS

Magic Quadrant

(*) Gartner Magic Quadrant for Public Cloud Infrastructure as a Service, 2011 (**) The Wall Street Journal, Meet the Rainmakers, 2011

In 2013 AWS leadership is even greater!

Global Infrastructure for AWS US West

(Northern California)

US East (Northern Virginia)

EU (Ireland)

Asia Pacific

(Singapore)

Asia Pacific (Tokyo)

GovCloud (US ITAR Region)

US West (Oregon)

South America (Sao Paulo)

North America Ashburn, VA (2) Dallas, TX (2) Hayward, CA Jacksonville, FL Los Angeles, CA (2) Miami, FL Newark, NJ New York, NY (2) Palo Alto, CA Seattle, WA San Jose, CA South Bend, IN St. Louis, MO

Europe Amsterdam (2) Dublin Frankfurt (2) London (2) Madrid Milan Paris (2) Stockholm South America Sao Paulo

Asia Hong Kong Osaka Singapore (2) Tokyo (2)

Australia/NZ

(Sydney)

Australia/New Zealand Sydney

AWS Regions AWS Edge Locations

Built for Enterprise Security Standards

Certifications

SOC 1 Type 2 (formerly SAS-70)

ISO 27001

PCI DSS for EC2, S3, EBS, VPC, RDS, ELB, IAM

FISMA moderate compliant controls

HIPAA & ITAR compliant architecture

Physical Security

Data centers in nondescript facilities

Physical access strictly controlled

Must pass two-factor authentication at least twice for floor access

Physical access logged and audited

HW, SW, Network

Systematic change management

Phased updates deployment

Safe storage decommission

Automated monitoring and self-audit

Advanced network protection

AWS Services We Use Today at Life Technologies

Cor

e IT

Sy

stem

s Am

azon

Web

Ser

vice

s (A

WS)

Corporate IT System eBusiness E1 (ERP) EDW

Agile

Comergent, LT.com Portal

Siebel

Instrument/Services Portal

OAM Identity Management Product Search

Digital Hub Application Platform User Manager App Manager Data Manager Subscription

Manager

Metrics Manager

Instrument Integration Mobile APIs Analytics

Cloud Applications Panda Aero Flash Pascal

Middleware

Life Tech Cloud Platform Components

Life Tech’s Cloud is LIVE! • Several instruments are now cloud enabled,

many more to be released in 2014 • Several SaaS apps are live too, many more in

the works for 2014 • Thousands of very happy customers actively

using Life Tech cloud service • Much more work ahead…

Impact: Applying Cloud to Scientific Research • Before Cloud

– Scientists need to install software on PCs – PCs are limited in compute and storage – Plate studies restricted to 10 plates per study due to PC memory / CPU size – To do more than 10 plates, the scientist needs to collect and analyze data in Excel; very time

consuming manual work that is error prone

• Moved analysis to the cloud – In the cloud we use large compute instances – Can process 150 plates in seconds vs hours – Saving scientists days of managing the study in Excel – Cost of cloud compute: $4

Full automation and saving days of science time

Cloud Speeds Research by Providing Inexpensive Compute and Storage

120x improvement in plate-processing time

Lessons on How to Succeed at Building a Cloud • Use cloud to transform the relationship with the customer • Give the customer incredible VALUE • Pay attention to developing technical cloud skills • Make reliability your top priority (even before usability) • Security is the top customer concern, so address that first • Use open standards and provide clear architectural governance so that app

developers are producing high-quality productively and predictably • Usage metrics are the key to success • Don’t waste time trying to convert everyone, just get support from your top

executive • Move fast to beat the innovation killers

Imagine the Possibilities I believe we are entering a new era in science where every researcher has access to technology that reads DNA and super computers to analyze DNA. This will improve our lives in ways we can’t imagine today.

Over the next decade we will all benefit from the exciting future made possible by the convergence of cloud computing and genetics.

© 2013 Amazon.com, Inc. and its affiliates. All rights reserved. May not be copied, modified, or distributed in whole or in part without the express consent of Amazon.com, Inc.

Life Technologies’ Journey to the Cloud - Recommendations

Sean Baumann, Director of Enterprise Software Engineering

November 13, 2013

Lifetech AWS Footprint • 4 AWS regions • 35+ application environments • 11 deployed applications, customer facing • 350 average and 1,145 peak EC2 instances

AWS Spend Breakdown AWS Usage

EC2

RDS

DynamoDB

Support

EverythingElse

EC2 Breakdown

Compute

EBS

EverythingElse

Architecture

Architecture, AWS Services • Amazon EC2 is the foundation

– Substitution for server virtualization – Networking features: Amazon Virtual Private Cloud, Elastic Load Balancing, Elastic IP, Amazon Route 53

• Accelerate application development through use of AWS services – Save time in database management: Amazon Relational Database Service, Amazon DynamoDB – In-memory caching with ElastiCache – Decoupling components through queuing: Amazon Simple Queue Service, Amazon Simple Notification

Service – Flexible storage using web object store: Amazon Simple Storage Service – Anticipate dynamic services – Architect for failures, reduce dependencies – Instances are temporal, services will change

• Reliability is the priority – Multitier architectures, eliminate single points of failure – Load balancing, multiple Availability Zones – Use tools such as Netflix Simian Army to test resiliency

Lifetech Journey • Identify the business need, focus on innovation • Select a project for demonstrating capability, specific

success criteria • Enlist support from organization leadership • Build and organize the cloud team • Execute in an iterative approach • Show value through metrics • Commit to continuous improvement

Gain Leadership Support • Well-defined scope and success criteria for initial project

– Start small, show quick wins – Consider a proof of concept with short duration – Use AWS to fail fast – Is success of your cloud project based on functioning software or ability to shorten

development cycle?

• Educate stakeholders on cloud fundamentals – Difference between public and private cloud – TCO calculations, http://aws.amazon.com/tco-calculator/ – Low initial investment, quick-start initiatives – AWS shared responsibility model

• Publish a usage policy – Define and enforce acceptable use – Clearly state roles and responsibilities across teams – Create “contact” with AWS users regarding billing

AWS vs. On Premises

On Premises AWS

Application ServicesSupportEnvironmentStorageCompute

AWS Usage Pattern

EC2 UsageMaximum

Gain Support, Cost Transparency • Show exactly what services are used

– Sign up for AWS detailed billing – Consider Netflix ICE https://github.com/Netflix/ice

• Tie value to consumed services – Use resource tagging to identify applications and tiers

• Show resource utilization – Retire unused resources – Use metrics to determine appropriate resource sizing

• Consider alternate architectures – Reduce redundancy for lower environments

Build the Team, DevOps • Recognize interdependence of software

engineering and IT operations • Abandon traditional IT silos

– Separate teams cause process bottlenecks

• Define DevOps for your organization – Blur the lines between development, system

administration and QA – DevOps is not a separate organization

Development

Infrastructure Operations

Quality Assurance

DevOps

Build the Team, Training

• Commit to AWS training – Train the team, not an individual – Utilize AWS reference architectures – Keep up to date on AWS releases

Use Knowledge Resources • Consider AWS support

– Several support levels available – Not just for technical issues, but also use case review

• Leverage the AWS forums – Collective experience of the developer masses – Get near instant answers to questions

• Meet-ups – Learn from people in your local community

Build the Team, Agile • Recruit the right talent, both internal and external

– Development team, SCRUM master, product owner

• Empower cross-functional development teams to deliver • Time-box development through Agile methodology • Clearly communicated definition of “done” • Principle 10: Simplicity – the art of maximizing the

amount of work not done – is essential

Continuous Delivery

• Restrict control in high-value environments • Lessen developer need to access higher environments • Use automation to create continuous delivery

– Remove human error – Ensure code quality

PROD

Less Control More Control

Continuous Delivery Continuous Delivery Continuous Delivery

DEV TEST STAGE

Report on Metrics • Select meaningful metrics, report regularly

– Quality, defects – Turn-around, velocity – Predictability – Resource utilization – Cost

• Comparison to previous efforts – Select metrics that are equivalent

Continuous Improvement • Assess work completed, set standards

– Evaluate technical decisions – If it worked, consider it a standard and publish findings

• Be prepared to throw something away – Use “spikes” to try technologies, learn through doing – A solution created during a sprint meets a current need, maybe not the long-term need – Code may need to be refactored as the team learns

• Don’t limit improvements to technology – Consider improvements to organization and process – SCRUM retrospectives – Be open with feedback, ask for outside perspectives

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