Systems must go offline for some patching and scaling procedures. RDS restricts access for certain procedures to those with advanced privileges. Because it is a managed service, users do not have root access to the server running RDS. Some downsides of using Amazon RDS include the following: RDS splits up compute and storage so admins can scale them independently.The use of read replicas routes read-heavy traffic away from the main database instance, reducing the workload on that one instance.Also, the time spent maintaining instances is reduced, because maintenance tasks, such as backups and patching, are automated. According to AWS, customers only pay for what they use. RDS is compatible with database engines that users may already be familiar with, such as MySQL and Oracle And it automates manual backup and recovery processes. They also can manage multiple database instances using the management console. Admins don't need to learn specific database management tools. The main benefit of Amazon RDS is that it helps organizations deal with the complexity of managing large relational databases. There are several pros and cons to using Amazon RDS. What are the benefits and drawbacks of Amazon RDS? RDS uses public key encryption to secure automated backups, read replicas, data snapshots and other data stored at rest. Users pay a monthly fee for the instances they launch.Įncryption. See how read replicas create read-only snapshots of database instances to help with load balancing. Administrators can also enable automatic failover across multiple availability zones through RDS Multi-AZ deployment and with synchronous data replication. These are read-only copies of database instances that applications use without altering the original production database. RDS uses the Replication feature to create read replicas. Amazon RDS featuresĪmazon RDS features include the following: RDS users can use AWS Identity and Access Management to define and set permissions for who can access an RDS database. Each type comes in a variety of sizes to suit the needs of different workloads. They use these interfaces to deploy database instances to which users can apply specific settings.Īmazon provides several instance types with different combinations of resources, such as CPU, memory, storage options and networking capacity. It is called relational because it organizes data points with defined relationships.Īdministrators control Amazon RDS with the AWS Management Console, Amazon RDS API calls or the AWS Command Line Interface. A relational database uses tables to store data. Databases are used to store large quantities of data that applications can draw on to help them perform various functions.
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