infosys solution for data center migration and consolidation services

8/18/2019 Infosys Solution for Data Center Migration and Consolidation Services

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© 2014 VMware Inc. All rights reserved.

Consolidate and TransformData Centers with VMware:

A Partner StudyKurt Grover, VMwareRenjith Sreekumar, Infosys

VPN3236

February 12, 2014


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Disclaimer

This presentation includes forward looking statements thatare subject to risks and uncertainties. Actual results maydiffer materially as a result of various risk factors, includingthose described in the 10-K's, 10-Q's and 8-K's VMware fileswith the SEC.


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About the Presenters

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Renjith Sreekumar

Principal, Infrastructure Transformation @ Infosys

Leads the practice for Infrastructure Consulting.

Technology practitioner advising clients on Next

generation infrastructure solution adoption through

Strategic Consulting, Migration and Transformation.

Email: [email protected]

Blog: http://www.infosysblogs.com/infra-matters

Kurt GroverGlobal Technical Alliance Director – VMware

Manage a global team focused on solutionsdevelopment and readiness for key

strategic alliances.

Email: [email protected]

mailto:[email protected]://www.infosysblogs.com/infra-mattersmailto:[email protected]:[email protected]://www.infosysblogs.com/infra-mattershttp://www.infosysblogs.com/infra-mattershttp://www.infosysblogs.com/infra-mattersmailto:[email protected]


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Challenges of Today’s IT Organizations

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Fear of Lock-In

Managing

heterogeneous IT

environments

New applications

types e.g. Big

data, mobile Vendor lock-in

Inflexibility

Slow time to market

Reactive IT

organizations

Rise of “Shadow IT”

Inefficiency Downtime

Challenging to

meet SLAs

Long issue

identification /

resolution times

Security andcompliance issues

High capex

and opex

High complexity,

Siloed IT

Operational

inefficiencies

Traditional New


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The Road AheadWorkloads are doubling every 4 years…

** Equinix.com blog, Cisco VNI 2011 Gartner 2009 and 2011, IDC 2011

…how do we manage this growing complexity?

50x – Data managed within enterprise datacenters

44x – Storage growing from 0.8 ZB to 35 ZB in 2020

26x – Mobile data traffic growth from mobile devices

10x – Servers worldwide growth

5x – IP-based video and real time applications growth

4x – IP traffic growth

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By 2 15

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Succeeding In the Mobile-cloud Era RequireKey IT Capabilities

• HW-agnostic and elastic scalability

• Automated, dynamic resource assignmentwith ecosystem integration

• Apps & services on-demand, with

hybrid control

• Cloud infrastructure management

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Software-DefinedData Center

The ideal architecture for private,

hybrid and public clouds.

All infrastructure is virtualized

and delivered as a service, and

the control of this data center is

entirely automated by software.

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Software-Defined data center

Compute

Software-defined Data Center:Top Level Capabilities

Automation

XaaS: Self-service catalog,

lifecycle management

Operations Management

Analytics-based operations enabling

self-healing, self-regulating IT

guCloudmanagement4

Storage & Availability Network & Security

Policy-based control &automation of infrastructure services

Abstraction & pooling

HW agnostic

& elastic

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Apps & services

on-demand, with

hybrid control3

Dynamic resource

assignment2

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Software-defined Data CenterNetwork Virtualization

• Logical Switching – Layer 2 over Layer 3,decoupled from the physical network

• Logical Routing – Routing between virtualnetworks without exiting the software container

• Logical Firewall – Distributed Firewall, KernelIntegrated, High Performance

• Logical Load Balancer – GSLB in software

• Logical VPN – Site-to-Site & Remote AccessVPN in software

• NSX API – RESTful API for integration into anyCloud Management Platform

• Partner Eco-System

Networking in Software

GA Q4,

2013

VMware NSXThe Platform for Network Virtualization

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CONFIDENTIAL 10


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CONFIDENTIAL 11


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Software-defined Data CenterOperations Management

• Prebuilt and configurable operations dashboardsprovide real-time insight into infra. behavior

• Self-learning performance analytics and dynamicthresholds enable early problem detection

• Policy-based config mgmt ensurescontinuous compliance

• Capacity management optimizes resource usage

• Application discovery, monitoring and dependencymapping enable enterprise-wide visibility

Benefits

Overview

Right Now Future Focused

vCenter Operations Management Suite

Sources: *Forrester, “The Total Economic Impact of VMware vCenter Operations Management Suite” Dec 2012;

**Management Insights Customer Survey, September 2012

Integrated performance, capacity and

configuration management

• Higher quality of service, fewer incidents and lessdowntime of infra and app services

• 67% IT productivity gain from simplifiedperformance, incident & change mgmt tasks*

• 30% reduction in server CapEx from rightsizingand reclaiming over-provisioned capacity*

• 60% increase in VMs managed by asingle VI admin**

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Software-defined Data Center Automation

• On-demand access to any infrastructure orapplication service

• Comprehensive governance for approvals,reclamations, cost profiles and transparency

• Initial provisioning and lifecycle management

• Broad support for physical, virtual and cloudprovisioning end points and software mechanisms

• Extensibility through integration with existinginfrastructures and customizable workflows

• Enable business agility through rapid delivery ofIT services

• Provide IT control by governing who provisionswhat and where

• Extend existing infrastructure, processes andenvironments with a flexible automation solution

Benefits

Overview

Self - Service

IaaS PaaS DaaS XaaS

Cloud Automation Center

Heterogeneous Infrastructure

Policy-Based Governance with Automated Delivery

On-demand self-service access to services

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Transformation is a continuous,Ever-running process …

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Hyper-Scale

Hybrid-IT Ecosystem

Predictive Analytics

Convergence

Software Defined

Autonomics

Migration if the common factor across all the transformation scenarios.

How to make Migration seamless is a big question and concern across Enterprises…

As-Was As-Is To-Be

Consolidation

Centralization

Service Orientation


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Mapping The Key Success Drivers…

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In todays scenario, you cannot run a “Technology Adoption“ as an isolated change

Line of Business Readiness

Business Case ($$) for Change

Org, People and PoliticsThe real need - Facing the

reality with conviction!!

How do we make this happen?


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1: Creating a “Comprehensive Intelligence”

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Key Mantra - Creating a “comprehensive insight”

• Multiple data points and often inaccurate

data to enable migration decision making

• How to make the most accurate decision for

technology choices and migration ?

• How to Maximize the data collection to help

plan for various possibilities and choices ?

1. Upgrade requirements

2. Utilization and performance3. Infrastructure Inventory

4. Platform modernization

5. Design/ deployment patterns

6. Deployed Configurations

7. Processes and policies

Identification and mapping of all data needs comprehensively

Structured and iterative data collection and analysis – Migration DB

Hypothesis driven decision enablement for Migration options

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2: Migration Strategy Through Detailed Profiling

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• Application driven Profiling

• Map data points critical to Migration

• Derive Migration & upgrade Options

• Grouping hypothesis & Bundles

Key Mantra – Use of Application Profiles as the “single source of truth”

Functional Mapping

Infrastructure / deployment Map

External Dependency

Vertical Slicing

Horizontal Slicing

Migration Options

Migrate / Upgrade Bundles

Move methodologies

Risk, mitigation & Remediation

Transform and Migrate

Migrate and Transform

Application Profiling Migration Strategy

Regulatory/ Compliance Risk Profiling


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3: Readiness Through Scalable Design and Build

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1. Build in-house or external

2. Target platform choices

3. Address Remediation scenarios

4. Level of modularity possible

5. Define parameters for readiness

Key Mantra – Modular, Value driven Design

• Inability of the business partners to certify

and onboard to new technology decision

• Approach for Remediation of applications

to adopt the new platform choices

• Design for Hybrid IT model with disparate

workload driven disposition models

Top-Down: App scalability and NFR, Patterns mapped to Catalog

Value transformation (re-engineering) to influence the demand

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Scalable & Modular Design – Enable discrete units to work harmoniously


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4: Stabilization Through Risk-free Migration

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Key Mantra - Factory based Model and De-risked migration execution

• Leverage of Automation and Run books

• Rebuild or Replicate from source

• Swing-Kit, DR, Lift-shift, Load-balance

• Validation, Readiness, Back-out & Cut-over

Migration Factory

Change & Commn. Mgmt

Operational Readiness

Risk Mitigation

Migration Command Center

Core Infrastructure Readiness

Pre-Migration Validation

Migration Plan Migration Execution

Right sized automation of tasks

Decommission and data removal

Warranty support and readiness

Workload, Data & App migration

Migration Runbook / Day-wise plan


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To Summarize… Key takeaways

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Realize the potential - Significant potential, Applications will never be constrainedby Infrastructure bottlenecks, rather Apps will drive the Infra to deliver performance

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Blueprint driven - Visibility of the current and future landscape is the key, across the

5 layers – Infra, Control, Access, App and Management

Modular Readiness - Application readiness to onboard in the modular construct,

enable application and hardware resources to work independently, but harmoniously

Phased, Value driven Adoption: Gradual onboarding to modular design through

re-use and refresh. Empower Business – Create visible value props

Be prepared for Change: SDDC will also evolve from the current construct to more

of a federated cross-cloud fabrication model and enabling a Hybrid IT ecosystem


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Thank you


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