Utilize Nuvento, the Strategic Migration Assessment and Readiness Tool, to assess your level of cloud readiness and receive expert advice and tools to move closer to your cloud migration objectives.
Phase 1:
Develop and
promotethe
position of
migration
architect
The first step to a successful cloud
migration is to establish the role of the
migration architect. All planning, strategy,
and completion aspects of the migration
process fall under the purview of this
system architect-level role.
3.
Phase 2:
Choose the
degreeof
cloud
integration
Using a shallow (lift and shift) cloud integration approach
or a deep cloud integration, you can move applications
from an on-premises system to the cloud. With lift and
shift, you may migrate apps to the cloud while making
minimal changes to the servers. Deep cloud migration
allows you to fully utilise important cloud capabilities while
modifying your apps during the process. Compared to
using serverless computing services like AWS Lambda,
this would provide you advantages that are at least as
great. Compared to auto scaling or dynamic load
balancing, this approach is significantly more progressive.
4.
Phase 3:
Choose a
singlecloud
or a group
of clouds
This choice is quite important. Once you make the decision to
work with a single cloud vendor, switching to a different cloud
managed services provider in the future may be challenging
because you could need to start the migration process from
scratch. Additionally, this has detrimental effects on your
negotiation skills, particularly with regard to pricing and SLAs.
If you choose multiple clouds, you gain the advantage of
optimising all of your applications and the freedom to put them
wherever you want in the cloud. The best course of action is to
Riven your apps among different cloud providers. You can
benefit from whatever they have to offer in this manner. The
user experience of your application is dependent on all of the
multi-cloud providers, so if any of them has problems, it could
have a negative influence. One way to lessen the risks is to
make your applications cloud-independent. You can change
the providers of your loads.
5.
Phase 4:
Create cloud
KPIs
Establishyour cloud KPIs and check to determine whether
they meet your objectives. Your cloud KPIs should reflect the
progress of your migration in order to ensure success.
Additionally, it highlights any obvious, subtle, or likely issues
that might be lurking in your apps. Additionally, cloud KPIs can
provide a general estimate of when your migration project will
likely be finished.
Cloud KPI Example for User Experience Page load time, lags,
session length, etc. are examples of categories. Infrastructure
KPIs include disc performance, CPU and memory utilisation,
and network throughput.
6.
Phase 5:
Establish
performance
benchmarks
You canuse baselines to compare present performance to
expected performance following a migration. You can improve
and fix any issues by using baselines. The cloud KPIs you
want to track can have a baseline metric chart configured. You
can gather any kind of data, including average data, data
gathered over long periods of time, data gathered during peak
or crucial times, and so forth. The type of data and duration
should be specified in detail.
7.
Phase 6:
List and
orderthe
migration
components
Decide whether you want to transfer all of your applications at
once or in stages. The migration order of the components
must be determined. You could decide all of them using
dependency graphs.
8.
Phase 7:
Finish all
necessary
refactoring
Beforeyour apps are moved, consider everything you want to
change about them, such as refactoring. You can benefit from
dynamic scaling, which will enable you to cut expenditures on
cloud services and dynamic cloud capabilities.
9.
Phase 8:
Create a
data
migration
strategy
Abi-directional syncing system is an option for connecting
your on-premises and cloud databases. Make your
cloud-based version the primary database and make the new
database accessible.
A cloud data migration service like Microsoft Azure or Amazon
Web Services can be used. Follow your data migration plan
exactly.
10.
Phase 9:
Change the
production
Thecomplexity and design of your apps, data, and data stores
will determine if you should move from on-premise to the
cloud. Change traffic from the on-premise stack to the cloud
stack after moving the entire application to the cloud. If not, go
stage by stage, test to ensure everything is functioning
properly, and keep going until all applications and data have
been moved to the cloud.
11.
Phase 10:
Analyze the
distribution
of
application
resources
Evenwhen the migration process is finished, resource
optimization is still something you should think about. Dynamic
resource distribution is tailored for the cloud. Ensure that the
application has the appropriate allocation of your resources.
Furthermore, cloud computing allows you to scale up and
down according to your business's demands.