Cloud Migration Part One: An Overview
Business is all about efficiency and effectiveness. In today’s world, however, those twin goals
almost always lead to cloud migration.
This anecdotal observation is supported by Gartner which sees worldwide
public cloud service revenue jumping to over
$300B by 2021.
Independent research from Market and Markets echoes this
expectation in its cloud migration services forecast which sees this market
subset growing
from $3.17B in 2017 to $9.47B by 2022,
at a Compound Annual Growth Rate (CAGR) of 24.5%. With migration being such a high priority
activity, many organizations are looking for the most efficient and effective
cloud migration strategy.
In addressing this query from thousands of customers
worldwide, IBM Global Technology Services (GTS) has migrated applications in
just about every industry. These
migrations have targeted global service providers like AWS and Azure, as well
as regional and local ones. The best
practices GTS has honed through these experiences include:
- How to understand and classify business critical data;
- Executing an efficient process for screening and selecting applications for cloud migration;
- Following a methodology for discovering the most effective strategy for each application migration; and
- Selection of the most cost-effective and industry aligned cloud service provider(s).
- Planning and designing common foundational infrastructure services;
- Pattern and Template based automated deployments for public clouds;
- Migrating workloads to the most appropriate cloud through a standardized, repeatable tool driven framework;
- Monitor and Manage workloads using standardized tools and process aligned to cloud platforms; and
- Governing, tracking, managing and optimizing cloud usage and spend.
These common best practices and initial stages are common to
the most successful cloud migration projects.
This series, presented in
four weekly installments, lays out the details of how leading
organizations have transformed themselves through cloud migration and how GTS
has embedded industry best practices into their hybrid cloud service delivery
model. “Part Two: Classifying Organizational Data,” covers the identification
of key business processes and their associated data types. The article
also the outlines the importance of
identifying process data owners and the required security controls for each
data type. “Part Three: Application Screening,”
looks at determining the most appropriate
target deployment environment, each application’s business benefit, key
performance indicator options and target return on investment. That segment also
shows how to select the most appropriate migration strategy for each
application. “Part Four: Executing The Migration” presents experience informed guidance on how to effectively and
efficiently execute a cloud application migration strategy. This segment includes selecting the most
appropriate cloud service provider and technology services, reviewing and
verifying available data security controls and suggested steps for SLA
negotiations. It also addresses business/mission model alignment, organizational
change management, and migration project
planning.
The series also presents
the three most common cloud adoption
paths for business, namely:
- Innovation: Building cloud-native applications using the DevOps model;
- Agility: Modernizing and migrating legacy applications and infrastructure to a native cloud model; and
- Stability: Managing workloads and infrastructure in clouds and on premises
( Thank you. If you enjoyed this article, get free updates by email or RSS - © Copyright Kevin L. Jackson 2016-2018)
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