![]() ![]() The new schema is now listed in the console. Review the SQL and click the "Apply" button. To create a new schema, click the new schema button on the toolbar.Įnter the details for the new schema and click the "Apply" button. You will be logged into the console just like any other MySQL instance. Open MySQL Workbench and create a new connection using the endpoint information from the "Instances" page and the credentials you used while setting up the service. The following picture shows the monitoring graphs. If you want to see the monitoring information for the specific service, click the checkbox next to the service and click the "Show Monitoring" button. Once the status is "available", you can connect to the service. The resulting page shows the status of your services. Once you are happy with the settings click the "Launch DB Instance" button.Ĭlick the "View Your DB Instances" button to see the status of your service. Once you are happy with the settings click the "Next Step" button.Įnter the advanced settings, making sure the backup and maintenance settings are correct for your service. When you've made your choice, click the "Next Step" button.Įnter the database details. In this case I'm using the non-production option. Select the high-availability state of the service. Select the "MySQL" option by clicking the "MySQL" tab and clicking the "Select" button next to it. Select the RDS option from the service catalog. A Cure for Virtual Insanity: A Vendor-Neutral Introduction to Virtualization Without the Hype.Amazon Web Services (AWS) : Relational Database Services (RDS) for MySQL.This article describes the creation of a database using Amazon Web Services (AWS) Relational Database Services (RDS) for MySQL, a Database as a Service (DBaaS) offering. The first step in migrating your existing RDS for MySQL instance to an Amazon Aurora cluster is to select the instance in the Amazon RDS Management Console. ![]() Home » Articles » Vm » Here Amazon Web Services (AWS) : Relational Database Services (RDS) for MySQL ![]()
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