Data is proving out to be the most crucial asset for businesses and enterprises of all kinds. With Big Data, IoT, and AI and ML-based applications taking over the role of business intelligence and strategic decision making, it becomes critical to accurately gather, store, process, and present data as insightful information.
There are plenty of enterprise-level relational database services available out there, and Amazon Relational Database Service (Amazon RDS) is one among those which makes it so easy to set up, operate, manipulate, and scale the relational databases on the cloud. RDS offers a highly cost-effective and reliable solution while trying to automate the otherwise time-consuming administrative tasks of:
- Hardware provisioning
- Setting up of databases
- Backup and recovery etc.
With its unique toolset and computational power, RDS helps free you up from the chaos of database administration and lets you focus more on your applications for faster performance, security, high availability, and compatibility.
Database user cases ideal for Amazon RDS
It is available for different DB instances with memory-optimized, I/O performance. It offers you six most familiar and available database engine choices as PostgreSQL, MySQL, Amazon Aurora, Oracle Database, SQL Server, and MariaDB. You can also easily use the AWS Database Migration Services to migrate your existing database onto RDS or easily replicate it to RDS.
With this easy mergeability and replicability, the developers and admins can use any programming platform, tools, or applications they are already comfortable with your existing database to use on Amazon RDS. This innovative solution can also correctly handle the routine DBMS tasks such as provisioning, backup, patching, failure analysis, repair, etc.
Amazon RDS also makes it easier for the users to leverage the replication features to enhance the reliability and availability of their production workloads. Using the advanced option of Multi-AZ deployment, you may quickly run the mission-critical applicational workloads to optimum availability. Using the option of reading Replicas, users may also scale out their database beyond the formal capacity of a single DB deployment, especially for the read-intensive database workloads.
As familiar to all available Amazon Web Services (AWS), you do not have to bear any up-front investment for the entire suite, but only have to pay for those resources you use. This lowers the administrative burden also.
Easy to manage
You can effectively use the AWS Management Console or the RDS CLI to manage RDS. Users may also use simple API calls for accessing the features of any production-ready RDBMS with ease. The RDS database instances are pre-configured with all the settings and parameters ideal for the class and database engine you have selected. Users can instantly launch the database instance and connect your application to it in minutes. The DB Parameter Groups also provide a fine-tuning and granular control of your enterprise database. For more options in remote database management services, refer to the offerings of RemoteDBA.com.
Automatic S/W patching
RDS will also ensure that any RDBMS you use to power your deployment stays up to date with all the latest patches being run. The users can also exert the optional controls as and when your database instances are patches.
Amazon RDS best practices
Once you select an appropriate service suite, Amazon RDS will provide customized guidance by analyzing your usage metrics and configuration needs for your database instances. As the utility and functionality needs of each enterprise databases differ, it becomes easier for the application developers and owners to have a better understanding of the most appropriate measures through this service. RDS recommendations may cover the entire areas as a version of database engine version, storage capacity needed, types of instances, and networking specifications, etc. Users can browse through the recommendations and initiate immediate actions accordingly or schedule them for their forthcoming maintenance window.
Performance of RDS
- General Purpose (SSD) storage
The general-purpose storage of Amazon RDS is a powerful SSD-backed option that can deliver a consistent and stable baseline of three IOPS per each provisioned GB. It also offers the capacity to burst up to about 3,000 IOPS beyond the baseline. This type of storage is ideal for a wide range and types of workloads related to the database.
- Provisioned IOPS (SSD) Storage
The Provisioned IOPS Storage of Amazon RDS is a kind of SSD-backed storage that can deliver a much predictable and faster I/O performance. Users can specify a particular IOPS rate while creating the database instances and RDS provisions for the entire lifetime of a given database instance. This type of storage is optimized for the I/O-intensive transactional (OLTP) workloads of databases. The users can quickly provide up to about 40,000 IOPS per each database instance even though the actual realized IOPS will vary based on the workload, type of cases, and the choice of database engines.
- Scaling as push button
One can scale the memory and computations resources that power up your database resources with much ease through RDS. This can go up to a maximum level of 32 vCPUs and about 244 GiB of the RAM. These types of scaling operations can be finished in a matter of just minutes.
- Quick storage scaling
As the storage requirements also grow with the growth in data volume, you can quickly provide extra storage on the go. The Amazon Aurora engine powering RDS can automatically increase the database volume size as the requirement goes up. It can go up automatically to a maximum of 64 TB by default or to a user-defined maximum. MariaDB, MySQL, PostgreSQL, and Oracle engines allow the users to 64 TB storage, whereas SQL Server supports only up to 16 TB by default. Storage scaling can also be done with no downtime, on-the-fly.
Along with the above top features, there are many more functional advantages too coming packed with Amazon RDS as:
- Read Replicas, making it easy to scale out elastically beyond the constraints.
- Automated backup, which ensures point-in-time recovery of any database instance.
- Database snapshots can function as the user-initiated backups of the instances stored.
- Multi-AZ deployments ensure availability and durability anytime.
- Automatic host replacement can replace all the compute instances which power your deployment.
- Encryption at rest and at transit using the keys you manage through the Key Management Service (KMS) of AWS.
Provided all the benefits, it is advantageous for the users that there is no commitment to up-front payment with Amazon RDS subscription. You have to only pay a monthly fee for each of the database instances you launch on RDS, and once you finished that instance, you can delete that. Being a cost-effective and function risk database management service, Amazon RDS is mainly gaining in popularity lately.