Liquid is the next BIG thing - Amazon S3 · 6 200M 5 40M 1000M 400 2.5M 57M 800 712K 700M 32 21.8M...

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Liquid is the next BIG thing

Max Furmanov

Managing Director, Accenture

Role of Technology in Business Fundamentally Changing

Copyright © 2015 Accenture All rights reserved. 2

How technology is delivered

(cycle-time, quality, efficiency, ops costs)

increasingly a business differentiator.

Customers increasingly expect a

seamless and personalized experience

from any service or product in every

industry

Automation, platforms, and microservice

ecosystems are eliminating entry barriers

enabling rapid disruption

3

Software no longer enabling business,

Software is the business

Copyright © 2015 Accenture All rights reserved.

Uber, the world’s largest taxi company, owns no vehicles.

Facebook, the world’s most popular media owner, creates no content.

Alibaba, the most valuable retailer, has no inventory.

And Airbnb, world’s largest accommodation provider, owns no real estate.

4Copyright © 2015 Accenture All rights reserved.

DEPLOYS CODE TO

PRODUCTION 250

TIMES PER DAY

5

Users Engineers Users : Engineers

1,300M 15K 87K

1M* 1.4K 715K

1,230M 2K 615K

Sources: Gizmodo, Gigaom, Amazon, Facebook, Google, Accenture analysis

Digital Natives’ Efficiency

6

200M 5 40M

1000M 400 2.5M

57M 800 712K

700M 32 21.8M

Sources: Google, Netflix, Instagram blog, Statista, Accenture analysis

Competitive Barriers Disappearing

Users Engineers Users : Engineers

Personalized, Unique and Engaging Experience with Disney

MagicBands create an experience with more of what you want -- more

delight, surprise, experience – while removing things that otherwise get

in the way – payment, lines, reservations.

MagicBands connect directly with ride, restaurant reservations, and

hotel reservations, and even serve as contactless payment, for an entire

family.

They are a key driver of 75 percent of guests staying in Disney-owned

hotels now reserving ride times ahead of their trips, and >25 percent of

day visitors. Guests who plan more of their trip schedules in advance

ultimately spend more time and money at Disney World, rather than

visiting rival attractions.

Disney gets personal with

new MyMagic+ system

Copyright © 2015 Accenture All rights reserved.7

Heavy Operating Model

Technical Debt

Support Effort

Application Inventory

Small Medium Large

Incremental Cost

Base Cost

< 20%

Productivity

Why is traditional IT slow?

An average of 12 months to onboard a single new integration client, quality issues, poor team productivity

Poor Productivity Hiding Behind Complexity


Total Capacity: 5,120 Hrs (100%)32 people

Committed: 2,366 Hours (46%)From Rally Task Data

New Deliverables Completed: 959 Hrs (19%)Rally user story data

• Various “Debt” takes up majority of delta

• Comprises Admin, break fix, req

clarification, meetings, release

support, env support, planning,

coordination, etc

• Not all these tasks reflected in

Rally

• Accenture typically sees “debt”

encompass 30% on industrialized

projects while 70% goes to “New

Deliverables”.

Traditional Businesses Often Measure the Wrong KPIs


Operations Cost

Resources per

Function

Quality

Defect densities and

production issue

occurences

Time To Market

Total elapsed time

to make production

change

Throughput

Design,

development, and

testing Velocity


Traditional ApproachDelivering Technology

WebscaleDelivering Value

More People

More Process

Checks

Reduce Unit

Costs

Less People,

Lean Culture

Can We Remove

Process?

Focus on

Total Cost of

Ownership

12

What are leaders doing?

I don’t always build applications, but when I do, its always using this architecture!

Being Rigid to be Agile


Platform optimized to support

search, “work arounds” for other

products

Optimized for interactive

services and smaller workloads

such as Checkout

Enhanced to support

incremental indexing for real-

time search relevancy

Transformation of infrastructure to

deliver at planetary-scale

Dis

trib

ute

d S

ys

tem

s P

latf

orm Compute

RDBMS

Storage

File System

Cluster Mgmt

BigTable

Google File System

Borg

SawzallMap

Reduce

Megastore

BigTable

Google File System

Borg

SawzallMap

Reduce

Colossus

Omega

Blob Store

Spanner

F1

Caff

ein

e/

Pe

rc.

Pre

ge

l

Ma

p

Red

uce

Sa

wza

ll

Dre

me

l/

FJ

Fu

sio

n

Ta

ble

s

MapReduce

• Enabled distributed computing

with commodity hardware

• 5x reduction in code base

Megastore

• Enabled RDBMS capabilities at

scale

• 10-100ms read latency vs 200-

400ms for Cassandra

• 100-400ms write latency vs 3-

7ms for Cassandra on 32 nodes

F1 and Spanner

• Enabled real-time database access

• RDBMS capabilities

Omega

• Cluster Management

BigTable

Google File System II

(Colossus)

Borg

Megastore Blob Store

Caff

ein

e/

Pe

rc.

Pre

ge

l

Ma

p

Red

uce

Sa

wza

ll

Dre

me

l

Flu

me

-Ja

va

2003-2006 2006-2008 2008-2010 2010-Present

Designed-to-Fail and Ops Built into Product


Monitor Infrastructure Monitor Applications Manage IncidentsAutomate Test &

RepairPredictive Auto Scaling

Imp

act

Enables educated decisions

to be made regarding

allocation of resources

Improves service to customers

and reduces instances of

complete service failure

Minimizes or eliminates the

impact of software failures to

subscribers

De

sc

rip

tio

n

• A birds-eye view of Netflix’s

complex cloud landscape from

a usage and cost perspective

• Quantifies AWS footprint by

trending usage patterns

• Enables publishing of custom

metrics that most accurately

capture the load for a given

application

• Simplifies the amount of code

required

• Isolates connections between

services, stopping cascading

failures, and providing fallback

options

• Provides improved tolerance of

latency and failure to service

• Induces random failures, or detect

abnormal conditions, and test the

ability to survive them

• Increases resiliency by identifying

weaknesses

• Predicts the number of AWS

instances needed to handle

customer traffic prior to the time

of need

• Utilizes variable traffic patterns

as video is watched more at

specific times and days

To

ols

Ice Servo Hystrix Simian Army Scryer

Prevents the need to always

scale up to handle maximum

potential traffic

Enables auto-scaling capabilities

with external systems

Teams Own Products or Services End-to-End vs. Traditional Design/Dev/Test/Ops Silos

Promoting E2E Ownership


Release Lifecycle

Time

Sta

bili

ty

LRR

HRR

HRR

Launch

New Releases

Hand-off

Hand-back

Hand-off

SRE Waiting

List

Dev SRE SREDevOps Owner

6 months minimum

The way applications look, how they are delivered and who delivers them is

fundamentally changing.

Leading Companies Becoming Liquid!


Liquid Architecture

Lean Practices &

Tools

Operating Model

The “What”

Virtualized Infrastructure, Lightweight

Architectures, Microservice-based Application

Styles, Mobile and API-first Patterns

The “Who”

Culture & Environment, Talent, E2E

Teams, Proximity to AssetsThe “How”

Design Thinking, Agile, DevOps, and

Automation

Journey to Industrialization


Visibility

• Measure Everything

• Publish

• Learn

Continuous Delivery Continuous Improvement

• Automate Delivery

• Automate Testing

• Reduce Cycle Time

• Increase Throughput

• Increase Quality

Seamless & Autonomous

• Product Org Model

• No More Ops!

• Convergence on Execution

and Development

Architectures across Org

• Self Operable and Self

Healing Systems

Shift Culture

• Integrated Teaming Model

• Reduce and eliminate

boundaries between IT.

Business, Ops

• Address Process

Dependencies


18

Accenture’s Liquid App Studio

Copyright © 2015 Accenture All

• Ideation, Creativity, and Design Thinking

• Rapid Application Development

• Experimentation with Emerging Tech

• Immersive Culture, Environment and Collaboration

From Idea to Experience


Max FurmanovGlobal Managing Director

Emerging Technologies & Liquid App Studios

@maxfurmanov

http://www.accenture.com/liquidappstudio

Liquid is the next BIG thing - Amazon S3 · 6 200M 5 40M 1000M 400 2.5M 57M 800 712K 700M 32 21.8M...

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