Cloud-based data storage solutions have now become the preferred choice for most modern businesses. This is primarily because leveraging a Cloud-based database makes it easier for businesses to ensure that their databases grow along with their unique data requirements and scale up or down on-demand or automatically to accommodate all peak-workload periods. Cloud-based databases enable businesses to efficiently settle all Data Availability and Security concerns as the Cloud-based solutions allow for seamless Database Replication across multiple geographical locations, in addition to numerous backup and data recovery options.
One of the most well-known providers of Cloud-based services is Amazon Web Services (AWS). This article will provide you with a step-by-step guide on how you can deploy AWS MariaDB on AWS Relational Database Service (RDS).
Table of Contents
What is MariaDB?
MariaDB is a popular Open-source Relational Database Management System (RDBMS). It was developed as a software fork of another popular Open-source database, MySQL, by the developers who played key roles in developing the original database. MariaDB was devised in 2009 when MySQL was acquired by Oracle. It was designed to ensure ease of use, speed, and reliability for all its users.
Like all other Relational Database Management Systems (RDBMS), MariaDB houses support for ACID-Compliant Data Processing. Along with that, it also supports parallel Data Replication, JSON APIs, and multiple storage engines, including InnoDB, Spider, MyRocks, Aria, Cassandra, TokuDB, and MariaDB ColumnStore.
More information on MariaDB can be found here.
What are the Key Features of MariaDB?
The key features of MariaDB are as follows:
- Robust Transactional Support: Implementation of ACID (Atomicity, Consistency, Isolation, Durability) properties ensures no data loss or inconsistency.
- Ease of Use: Considering that it makes use of SQL for querying data, anyone with basic knowledge of SQL can perform the required tasks with ease.
- Security: It implements a complex data security layer that ensures that only authorized users can access sensitive data.
- Scalable: MariaDB is considered to be highly scalable due to its support for multi-threading.
- Roll-back Support: MariaDB houses support for roll-backs, commits, and crash recovery for all transactions.
- High Performance: MariaDB houses various fast load utilities along with Table Index Partitioning and Distinct Memory Caches that can help ensure high performance.
What is AWS RDS?
Amazon Web Services Relational Database Service (AWS RDS) is one of the most popular Cloud-based fully-managed database services that give users the ability to set up, operate and scale Relational Databases seamlessly in the cloud. It provides its users with a cost-efficient alternative to traditional on-premise database systems. With AWS RDS in place, users can focus solely on their applications and business since the time that would have been utilized in performing time-consuming database administration tasks is freed up.
AWS RDS gives users the ability to create instances of the most popular Relational Database Management Systems (RDBMS), including MySQL, MariaDB, SQL Server, Oracle, PostgreSQL, etc. This means that all existing applications of any business that might be using these databases can be seamlessly migrated to AWS RDS without any changes to the application’s codebase. Amazon RDS also carries out all necessary backups of the database on a regular basis and ensures that the version is up-to-date.
Users can significantly benefit from the ability of AWS RDS to efficiently scale the compute resources or storage capacity associated with their Relational Database, as this allows users to pay only for what they use and not invest a fortune in external hardware resources while scaling up. AWS RDS also makes it easy for businesses to implement Data Replication and ensure availability, improve Data Durability, or scale beyond the capacity constraints of a single database instance for read-heavy database workloads.
More information on Amazon RDS can be found here.
What are the Key Features of AWS RDS?
The key features of AWS RDS are as follows:
- Easy Scalability: AWS RDS allows users to scale their resources up or down as per their requirements without any downtime and pay only for the resources they use at any given point in time.
- High Availability and Durability: Amazon RDS operates on a highly reliable infrastructure offered by Amazon Web Services. Users have the ability to provision a Multi-AZ DB Instance. A Multi-AZ DB Instance ensures that AWS RDS synchronously replicates all user data to a secondary instance in a different Availability Zone (AZ). AWS RDS also houses numerous other features that exceptionally enhance the reliability of critical production databases, including automated backups, automatic host replacement, and database snapshots.
- Advanced Security: AWS RDS houses functionalities that give users the ability to control network access to their database. AWS RDS lets users run their database instances in Amazon Virtual Private Cloud (Amazon VPC), enabling them to isolate their database instances and connect to their existing IT infrastructure through an industry-standard encrypted VPN. Most Amazon RDS engine types offer encryption at rest and in transit.
- High-Speed Processing: AWS RDS allows users to choose between two SSD-backed storage options: one for cost-effective general-purpose use and the other optimized for high-performance OLTP applications. In addition, Amazon Aurora can provide users with a performance on par with commercial databases at almost 1/10th the cost.
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What are the Steps to Deploy AWS MariaDB on AWS RDS?
Users can deploy AWS MariaDB on AWS RDS by implementing the following steps:
- Deploying AWS MariaDB Step 1: Log in to your AWS account and open the AWS Management Console.
- Deploying AWS MariaDB Step 2: Under the Database section in the AWS Management Console, select RDS. This will open the AWS RDS Console.
- Deploying AWS MariaDB Step 3: Select the region you wish to create the AWS MariaDB instance in, from the upper right corner of AWS RDS Console.
- Deploying AWS MariaDB Step 4: Under the Create Database section, click on the Create Database button.
- Deploying AWS MariaDB Step 5: Under the first section, you can choose to select Standard Create or Easy Create. If you choose the Standard Create option, you will have to configure all settings regarding Security, Backups, etc., manually, and if you choose the Easy Create option, AWS will configure all these automatically for you. Under the Engine Options section, select AWS MariaDB. The latest version or any other version based on requirements can be selected under the Version section. Finally, under the Templates section, you can choose to create a Production Instance by selecting Production as the template, a Development Environment by selecting Dev/Test instance, or the Free Tier template if you wish to understand how AWS MariaDB works or test existing an application. The final pricing will depend on the kind of instance you create. More information on AWS MariaDB pricing can be found here.
- Deploying AWS MariaDB Step 6: Enter a suitable DB Instance Identifier, Master Username, and Master Password for your AWS MariaDB instance.
- Deploying AWS MariaDB Step 7: Select a suitable DB Instance Size Class as per your requirements. A list of supported instance classes and their pricing can be found here.
- Deploying AWS MariaDB Step 8: Under the Storage section, select the Storage Type and the space you wish to allocate. Information on more storage types supported by AWS RDS can be found here. Minimum storage can be allocated based on business and data requirements. Ensure that you enable Auto Scaling. Auto Scaling ensures that if the storage goes beyond the minimum storage, the database will scale till it reaches the maximum storage threshold value. Make sure the threshold value is comfortable to you from a cost perspective.
- Deploying AWS MariaDB Step 9: Select the Security and Connectivity options as per requirements. Ensure that Public Access is enabled here. The VPC security group of your created database instance decides the incoming and outgoing connections that your instance is able to serve. You can either choose to create a new security group or use an existing one. If you are using an existing one, ensure that incoming connections to Port Number 3306 are enabled in that security group.
- Deploying AWS MariaDB Step 10: Your estimated cost for the selected instance type will be displayed in the final stage along with the Create Database button. If no changes are required, and the price is suitable, click on Create Database to create and start your database instance.
- Deploying AWS MariaDB Step 11: Your AWS MariaDB instance will take a few moments to launch on AWS. Once configured and launched, you can view all details by clicking on the View DB Instance Details button.
- Deploying AWS MariaDB Step 12: Once you have set up the AWS MariaDB instance, you need to install an SQL client on your local system that will connect to that AWS MariaDB instance. Since MariaDB is a fork of MySQL, the best SQL client that can be used here is MySQL, which can be downloaded from here.
- Deploying AWS MariaDB Step 13: Install MySQL Workbench on your local system and launch it.
- Deploying AWS MariaDB Step 14: From the top Menu bar, click on Database and select Connect to Database.
- Deploying AWS MariaDB Step 15: A dialog box will open asking for information on the database you wish to connect with. All necessary information about the AWS MariaDB instance that you created previously, will be entered here. You can access the required information about the AWS MariaDB instance by selecting View DB Instance Details in the Database section on the AWS RDS Console. The following image shows what information about your AWS MariaDB instance is required by MySQL to connect to the database:
- Deploying AWS MariaDB Step 16: A connection between your MySQL Workbench and AWS MariaDB instance has been created. The required queries to perform database operations can now be executed through the workbench directly.
Conclusion
The article provided you with a step-by-step guide on how you can create an AWS MariaDB instance on AWS RDS. It also helped you understand how you can connect your AWS MariaDB instance to MySQL Workbench, enabling you to perform the required database operations.
Most businesses today use multiple platforms to carry out their day-to-day operations. As a result, all their data is spread across the databases of these platforms. If a business wishes to perform a common analysis of its data, it would first have to integrate the data from all these databases and store it in a centralized location. Building an in-house data integration solution would be a complex task that would require a high volume of resources. Businesses can instead use existing automated No-code data integration platforms like Hevo.
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