Google cloud migration offers several lucrative services that will increase operational efficiency in businesses
Google Cloud is gradually becoming a market leader in cloud services and closely follows Microsoft Azure, Amazon Web Services, and Amazon Web Services.
You’ve reached the right place if you are thinking of migrating to Google Cloud but don’t know how to begin.
This guide will show you how to migrate your workloads from the Microsoft Azure platform to Google Cloud in four easy steps.
Three types of environments can be considered.
There are two types of workloads, depending on whether they’re cloud-native.
Next, take inventory of all the workloads you intend to migrate to the Cloud. Also, note their requirements, such as licensing, hardware, and dependencies. The following question should be asked:
To better understand the cost of Google Cloud deployment (including maintenance), you should also do a total-cost-of-ownership (TCO) calculation. This is particularly important for migrating from an existing environment to the Google Cloud Platform (GCP), or other cloud environments. Hidden costs are often overlooked when calculating costs in an old environment.
These assessments will help you decide which workloads to migrate and which ones to prioritize.Also read: Top 10 Trending Technologies You should know about it for Future Days
This phase focuses on identifying the resources required to achieve the goal of the Google Cloud migration. Prioritizing the steps is important.
It is usually better to start with the easiest aspects of the migration. This will allow you to get familiar with the Google Cloud Platform and give you the opportunity to test different aspects of the migration.
Google Cloud is a special case, so you will need to take into account the following aspects when planning.
As the name implies, this phase is about preparing for the migration process by provisioning workloads.
You may or not want to use the exact same deployment method for all workloads depending on how many you have to migrate. However, a consistent approach will make it easier to manage and allow you to assess and improve the process.
However, it is important to validate and test all configurations and resources before migrating. After all, configurations have been tested and verified that they work as intended, you can only move assets.
There are two options when it comes to deploying your workloads:
If you’re migrating in stages, you can optimize your Google Cloud environment during migration (i.e. after a basic deployment of priority workloads is completed and tested on Google Cloud), or after you have finished migrating.
Optimizing is a phase that ensures you get the best performance possible according to your business goals while using fewer resources.
This should include training your employees to maximize the adoption of Google Cloud.
To optimize your migration process, you can use multiple tools and solutions. This includes Google’s Cloud Monitoring Tool. You should also consider optimizing your cost with autoscaling.
Pythian’s Google Cloud Migration Services might be of interest to you if you need more assistance. These services will ensure that you have a smooth and secure migration to the Google Cloud Platform (GCP). This will allow you to enjoy Google Cloud’s benefits faster and also give Pythian access to in-depth data expertise as well as customizable security solutions.
A smooth transition to Google Cloud will allow your company to maximize the ROI of cloud migration so that you get the most out of your cloud environment.
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