(10) We will leave “Automatic Storage increases” enabled so that we don’t accidentally run out of disk space. Check out the performance calculator on the right.Īs we add capacity, our disk performance increases, which allows our database to process more operations per second. Because, increasing disk capacity also increases performance. You can scale the instance up or down later. That said, don’t worry too much about initial sizing. Maximizing memory is a good choice for SQL Server because it can take advantage of the extra memory for performance. (8) Select Machine Type as “High Memory” from the list and select CPU “4vCPU, 26 GB” as shown below. ![]() ![]() (7) Select Database Version and Edition as “SQL Server 2017 Standard” from the list. This instance will be created in the US, and we’ll leave the zone set to “any” so Cloud SQL can choose for us. (6) Select Region (us-central1) & Zone (any). (4) Enter SQL instance ID (acumensqlserverinst – in this example) as per the rules provided on the page below. (3) Choose “SQL Server” option by clicking on the option “Choose SQL Server”. (2) Start creating a new instance of Cloud SQL by clicking on “CREATE INSTANCE” button. (1) Login to GCP console and navigate to SQL option on the left side menu. Here are the steps:Ĭreate a Microsoft SQL Server Instance in Google Cloud Platform If you have any questions or need assistance, feel free to contact us. You can try the below steps by quickly signing up for an almost free Google cloud account, if you give us a call, we might be able to help you receive upto $500 as free credits for trying out the cloud through our partner programs available only to Google cloud select partner like Acumen Velocity.īelow are the steps to move your Microsoft SQL Server to Google cloud and still retain complete control knowing that the management of that database is now not your headache and you are assured of paying for licensing cost and hardware for only the duration of use and not burdened with heavy yearly licensing fees. Note that, we have used the terms as follows : GCP console – Google cloud platform console. Moving to Cloud SQL, you can simply choose the image you want and launch your instance in the cloud and migrate your database to Google cloud platform using the steps we’ve outlined below. Many IT shops are currently hosting their data / database systems in co-location centers, the biggest difference when it comes to cloud is not only the heavy licensing you are currently burdened with but also that your systems need to be managed actively. The benefits of cost savings, reduced maintenance and management and virtually non existent performance problems in a managed database are yours to keep. This way, you need to change nothing about your database and you can very easily connect to it using your favorite tools locally just like you normally would. Cloud SQL is a SQL Platform that enables you to launch any kind of database in Google cloud including Microsoft SQL Server, MySQL, PostgreSQL. Let’s say, you are that extreme case, not only are you and your DBA’s and system support folk having to manage, maintain and run these different databases on premise, managing backups, recovery, security, patching etc etc.you are also be paying heavy licensing (on a yearly increasing basis) to the vendor (Ex: Microsoft).įortunately, Google platform has a service: Cloud SQL – Cloud SQL is not just a different type of database created by Google. ![]() In the extreme case, you might be an organization that has every type of database on premise. This hybrid architecture might mean having to support more than one type of database. Over the years, many organizations tend to accumulate a hybrid IT architecture. SQL Servers come in various flavors, Microsoft SQL Server, PostgreSQL, MySQL etc.
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