cloud-enabled enterprisecuvix.co.kr/etnews/ciosummit2017/track2-2_cio_summit_2017.pdf · complexity...

Cloud-Enabled Enterprise조원섭 Senior Cloud Consultant

Ericsson-LG

Cloud-enabled Enterprise

조원섭

Senior Cloud Consultant, Ericsson-LG

Public | Ericsson-LG | February 2017 | Page 3

Executive Summary

Journey is challenging

Significant organizational, cultural and technical changes

Tight budgets, the need to scale solutions exponentially, and increasing

complexity

Internal resistance to transformation for cloud-enabled enterprise

Compromise agility, scale, distribution with delivery of end-to-end digital

services

Well-planned, structured approach to transform for cloud-enabled enterprise


“Ready for Business Transformation”

Cloud-Enabled Enterprise

Agility and DevOps Automated Hyperscale and Hybrid Containerize and Modernize

+ +Organization/

CulturePlatform Application



IT must be both flexible and rock solid to keep up to the pace of business change without compromising

stability in operation. Unless IT manages to combine two modes of delivery, we will not overcome shadow IT,

lose operational efficiency, and fail new business.

Long distance runner

Short distance

sprinter

The perfect storm requires running two races simultanEously

Organization/cultureBimodal IT Approach



PlatformFrom Silos to Services

Service layers cutting across both platform and

organizational silos

Hyperscale for the future



ApplicationModernization and Containerization

Busin

ess V

alu

e

Time

Modernize

Retire

Upgrade

Retain/

Consolidate

Analysis Technology

Maturity

Business

Value

Cost

Effectiveness

Portfolio

Risk



How to go there

PLATFORM

Application and Platform

without Org./Culture

=

Poor adoption of Application/Platform

leading to ineffective use of systems, and

staff attrition

Application and Org./Culture

without Platform

=

Frustration and Inefficiency

High Cost of Operation

Org./Culture and Platform

without Application

=

Automated Operation Chaos

Poor Customer Experience & ServiceORG./CULTURE

Automated

Chaos

APPLICATION

Alienation

Frustration

SWEET

SPOT

TRANSFORMATION

STRATEGY AND

APPROACH

CLOUD-ENABLE

ENTERPRISE



The Way Forward


Bimodal IT Approach

Bimodal IT

Ch

an

ge ra

te

+

-

Innovation

Differentiation

Records

Arc

h I

mp

act

+

-Mode 1

Mode 2

* Mode 2 is exploratory and nonlinear, emphasizing agility and speed

as opposed to traditional mode 1

› IT Operational/Procurement

› Cost Reduction

› Efficient Infrastructure

› Low-cost commodity

› Lift and shift – Dev/Test

› Static or predictable

› ITIL, COBIT, etc.

› Extend existing tools

Mode 1: Traditional IT

› Enterprise Architect

› Developer Productivity

› Infrastructure as code

› Highly Differentiated

› New Apps – Digital Business

› Dynamics – Web-Scale

› DevOps

› Adopt Cloud-Native Tools

Mode 2: Agile IT

Leadership

Priority

Viewpoint

Expectations

Use cases

Scale

Management

Tools



Disaggregated Datacenter

Using Intel Rack Scale Design


Traditional IT is end of life


Hardware disaggregationUsing Intel RSD1)

Today’s servers

CPU Mem Disks NIC Acc CPU Mem Disks NIC Acc


~80% of HW CAPEX & power consumption

Workload usage

Un-used hardware

CPUs

Disks

Memory

NICs

Accelerators

x86 x86x86

x86

1) Intel Rack Scale Design



Networking

Compute

Accelerators

Disks

Ericsson HDS 8000 - Worlds first Disaggregated DC Solution using Intel Rack Scale Design

vPOD 1

vPOD 2

vPOD 3

vPOD, virtual POD

SW defined infrastructure combining

components into virtual performance

optimized datacenters

Disaggregated hardware

Seamless scalability with efficient

life cycle management

Become agileSee everything Get lean

Open management and

integration with Command Center

of the complete datacenter, Ericsson and

3PP


Expandable vPOD resources

Expandab

le

Co

mp

ute

Netw

ork

Sto

rage

vPOD C

Expandable

vPOD B

ExpandableExpandable

vPOD A


SDI TCO studyAmazon economics in a private cloud

UP TO

OPEX SAVINGS

75%UP TO

CAPEX SAVINGS

55%+

› Capex savings largely based on higher utilization

› Opex savings largely based on automation of system admin tasks



Datacenter Automation

For the intelligent DC


There’s A NEW MANDATE FOR the Data Center

EXPENSE LINE ITEM PLATFORM FOR INNOVATION

MANAGED AS A COST CENTER

GUESSWORK

PEOPLE-INTENSIVE

INEFFICIENT: UNDERUTILIZED

TIGHTLY COUPLED TO BUSINESS

MANAGED AS AN INTEGRATED, ECONOMIC SYSTEM

DATA-DRIVEN

AUTOMATED

LEAN: DELIVERS EXACT RESOURCES TO WORKLOAD

ENABLES ANY BUSINESS



CURRENT approaches fall short

POINT SOLUTIONS

FROM NICHE PLAYERS

• Exclusive focus on ITOA (IT

Operations Analytics) with

singular capability in one area of

DC

• Can’t handle legacy systems

• Available only via SaaS model

• Manually intensive—requires

heavy lifting

BIG DATA ANALYTICS

FROM THE OLD GUARD

• Offered as an after-thought—as

add-ons to existing solutions

• Lack of differentiation

• Locked into vendor end-to-end

solution set

• Often, delivered as a set of non-

integrated solutions

• Not flexible

DAP1)

• Integrates into any existing

environment, tools and

processes

• Software-only solution that is

built in—not bolted on

• Machine learning at the core

• Serves as a tool for business

case “what-ifs”

• Designed to work across

multiple data centers 1) Datacenter Automation Platform


How it should work beyond current approaches

Unified Data

Collection

Real-Time

KPI Dashboard &

Suggestive Actions

Resource

Management

Simulation &

Automation

Ericsson Datacenter Automation Platform

Data Data Data AppAppApp

Data and Application Platform

IT Infrastructure

Datacenter facility

Co

llectio

n

Pro

vis

ion

ing

Datacenter


automated factoryIntelligent data center

Continuously

improving throughput,

while optimizing cost structure

The Autonomous

Data Center

Self-OrganizingContinuous

Integration

Continuous

DeploymentSelf-Learning



Apps and Data Platform

With Mode 2


Gives:

> developers the productivity they want

> operations the governance they need

> purchasing the flexibility they demand

“Un-Governed Clouds

and Shadow IT”

“Lock-Down” “Global Governance

AND Fast Innovation”

Go

ve

rna

nce

IT Development Speed

“Unsustainable Business”

high

low

low high

The challenge of Speed & Risk


Why containers?

› Container Registries – “App store”

for server apps across platforms

› Minimal integration costs to change

underlying infrastructure

› A portable and self-scaling

microservices “promise”

› Easy to deploy, but orchestration &

governance challenge

private cloud

public cloud

Pre

pare

once,

use

every

where



The Problem we Solve

openness & diversity of ecosystems

openness & diversity of global cloud infrastructures

openness & diversity of ecosystems

An infinite array of possible stacks

Cloud Native Legacy x86 ContainerizedAny application

Any Infrastructure Private Public Services

Policy automation & enforcement

HYPER

SCALE

DATA

CENTER

DIVERSE

WORKLOADS

DEPLOYMENT

PREFERENCES

DATA

SOVEREIGNTY



THE APCERA PLATFORM

DockerMULTI-WORKLOADS Bare OS for Traditional

ApplicationsWeb Applications Big Data Frameworks

POLICY

Declaration and

Enforcements

Framework

DEPLOY

ORCHESTRATE

GOVERN

MULTICLOUDSBare

metal



Thought of Ericsson

Fully Cloud-enabled

Enterprise IT

- delivers dynamic supply of

resources to meet the demands

from business

DC

S

Apps and Data Platform (Apcera)

Datacenter Automation Platform (DAP)

HDS 8000 Intel RSD

AWS

Azure

Google

Reusable Services

Catalogue

Mode 2:

Agile/DevOps

Platform

SDDC/SDI

Apps E-mail ERP BI Mobile

Dynamic

Demand

Dynamic

Supply

Mode 1:

Traditional Enterprise IT

Digital



Fail cheap

Fail fast

Get agility

Biz. Success

by IT

Hyperscale DC and Platform- Software Defined Infrastructure with

disaggregated h/w and automation

Bimodal IT approach

- Start with small Mode 2 (Agile/DevOps)

Containerize and Cloud Native- Simple Deploy, Centralized

Orchestration and Policy driven

Governance

Key take away

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