Helping business case formation, adoption strategy, team planning and road map creation, we enable the IT organization to deliver business value from your cloud investments.


cloud migration sequential approach


Our process consists of 5 phases (Each built up on the other)

  1. Assess
  2. Pilot
  3. Move Data
  4. Move Applications
  5. Optimize


Phase One: Assess

Before any movement is even considered, we form a discovery exercise intended to understand current state your applications and determine suitability for Google cloud.


During this phase, we focus on hardware and performance requirements, users, licensing, compliance needs and any application dependencies.


We then classify the applications into 4 buckets:

  1. No Impact
  2. Low Impact
  3. High Impact
  4. Not suitable for the cloud


In our experience, applications that most often fall into the No impact bucket are greenfield apps, test and dev, staging and Q&A. In addition any internal web apps that include batch processing applications are also great Google cloud candidates due to the ability to scale horizontally rather than vertically.


Phase Two: Pilot

This is the phase where some action occurs, we plan and take one or two applications from the no impact group and try moving them. Of course, a lot of testing and upfront validation is involved before launching into a production move. We also help your team to learn about the Google Cloud Platform and its design patterns and how to to validate performance. We also discuss Google cloud licensing options and establish how to perform a rollback. Our advice is not to skip this step, and resist the temptation to migrate too many apps at once.


pilot phase


Phase Three: Data Movement

The cloud migration world has all kinds of approaches. We’ve heard many people say that it is best to move your applications first and only then move the data. Google recommends moving the applications after the data migration. Google understands that most applications have a lot of data and come with a lot of dependencies. Hence, proper movement of data to the cloud sets the stage for a successful application migration.


Phase 3 is the time to consider the various cloud storage options — regular Google Cloud Storage or NearlineLocal SSDs or persistent disksGoogle Cloud SQLDatastore or Bigtable?


There also needs to be proper planning around how the actual data movement will occur — will this be done via batch data transfers or will we leverage offline disk imports, or database dumps, or streaming to persistent disks?


Phase Four: Application Migration

Once the data is in the cloud, validation will be performed and in the most part this means, once the validation is completed, the movement of the actual apps is ready to go.


However, there still are decisions to make. Google recommends doing the minimum necessary to get the application up and running in the cloud. This doesn’t mean that there are compromises or changes in any functionality or complexity that was already there.


An example of the application migration considerations are: Is doing a straight lift-and-shift feasible? Or perhaps is there a way to get the app into the cloud by way of backing it up there?


There are various considerations in the event of an outage for example – this way, there’s a full copy of your environment in GCP waiting to take over at any point of failure.


Phase Five: Optimize

This is where you see the real power of the cloud and the fun begins.


After an application and its data have been migrated to Google Cloud Platform, there are some very cool ways to make it easier and seamless.


An example might be – This would be a time to think about adding redundancy in the form of availability zones, elasticity with auto-scaling groups, or enhanced monitoring with Stackdriver.


There also might be opportunities to offload static assets off of the application tier into Cloud Storage, or decouple tiers by using Pub/Sub.


Google’s Deployment Manager can make it very seamless to launch and scale new instances, while preserving your configuration in a second region thus insulating you from a regional outage.


Next Steps

Every environment and business situation is unique and thus needs to be treated as such. Your custom cloud journey is actually made faster and simpler with our phased approach.


Whether it is decommission or consolidation of on-premises data centers, migration of existing VMs (as is), or considerations to upgrade the VM’s to more agile forms like containers, we help map these applications into cloud services.


Google Cloud solutions and products cover VMs, apps, databases, and many more migration use cases.


See? That wasn’t so bad. In the meantime, if you’d like to turbocharge your VM migration process or even just chit-chat, geek or non-geek, we have systems integration folk that are cloud migration and GCP experts who love to nerd or just exchange ideas, and would be happy to assist you.

Acumen is on a mission to help organizations innovate faster, scale smarter, and operate securely with cloud services.

As a Google Cloud Partner, Acumen maintains its reputation of being an exceptional service provider with proven expertise in enterprise consulting, data management, cloud platform migration, professional services, networking and change management.

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