![]() The VPC in each availability zone has multiple subnets - a private - accessible only by other subnets within the VPC and public - open to the internet. Prior to creating the MySQL Cluster, I created a Virtual Private Cloud (VPC) that spans multiple availability zones in order for applications to have high durability and availability. I have attached a visual representation of the AWS resources that would be interacting with the MySQL cluster. In order to ensure a highly available, fault tolerant, scalable, and elastic arhitecture in AWS, I will walk you through provisioning a MySQL Clustered database that acts as the back-end for Apache Web applications. The high level architecture of the AWS Resources is as follows: It will also touch on some of the other resources that interact with the RDS Database in the main areas, networking, security, storage, and high availability. This blog post will walk you through creating a MySQL Database Instance with Multi-AZ Availability in Amazon Aurora. ![]() However, with EC2 and AWS resources in general, there is an ease of scalability, high availability, fault tolerance, and elasticity that is unmatched with any on-premise data center. With EC2, you could easily use an older version of your database software, but the biggest drawback is it requires a more involved approach to create the database and storage. Whereas, EC2 is similar to what most DBAs and System Administrators are used to - using a SSH client to connect to a host server, downloading and installing software, and being able to control every facet of database and host maintenance and administration. One of the main limitations of RDS is that legacy versions of database systems and OS versions are not allowed. All you have to do is choose your options during instance creation, and your database will be available after a few minutes. With that level of automation, RDS does not allow access to a host server, connections to the database instances will be via tools, Identity and Access Management, and local tools such as MySQL workbench and PgAdmin. That means that tasks such as upgrades, backups, and snapshots are handled automatically without any user intervention (DBA). The main difference between creating an instance in RDS/Aurora versus in EC2 is that RDS and Aurora are fully managed services. Amazon Aurora is a fully managed MySQL database engine, the PostgreSQL compatible version of Amazon Aurora is fairly new and currently in the preview phase. The options range from a fairly simple and fully managed database instance in Relational Database Service (RDS) and Amazon Aurora, to a more involved setup process using Elastic Compute Cloud (EC2). Use the same password you used when previously configuring the server to accept remote connections.Amazon Web Services (AWS) offers various options for hosting databases in the cloud. If the connection is successful, click “OK” to save the connection.ĭouble-click the new connection to launch the MySQL Workbench SQL Editor. Select “Standard (TCP/IP)” as the “Connection Type”.Įnter your cloud server’s IP address in the “Hostname” field.Ĭlick “Test Connection” to test the connection. Follow these steps:Ĭlick the “+” symbol in the “MySQL Connections” tab to add a new connection.Įnter a name for the connection in the “Connection Name” field. Once your MySQL server is configured to accept remote connections, you can connect to it using MySQL Workbench. To connect to your remote MySQL database server using MySQL Workbench, you have to allow remote connections to the server. NOTE: This section assumes that you have downloaded and installed MySQL Workbench. The output of the command indicates which database server (MySQL or MariaDB) is used by the installation, and will allow you to identify which guides to follow in our documentation for common database-related operations. To identify which database server is used in your stack, run the command below: $ test -d /opt/bitnami/mariadb & echo "MariaDB" || echo "MySQL" On account of these changes, the file paths and commands stated in this guide may change depending on whether your Bitnami stack uses MySQL or MariaDB. NOTE: We are in the process of modifying the configuration for many Bitnami stacks.
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