Aurora was designed for customers who require a fully managed database service with the cost-effectiveness and simplicity of open-source databases but the same performance as a commercial database. Aurora is unique in that it offers a track record for operational excellence and enterprise features at a fraction of the cost of commercial databases. Aurora provides unparalleled performance, availability, security, and reliability globally. Aurora has been the fastest-growing service in AWS’s portfolio since its inception in 2014. Aurora’s remarkable growth has been driven by strong interest from many industries. We have seen strong interest in Financial Services, Software, and Internet, as well as Entertainment and Games and Retail verticals over the past twelve months. Customers migrate to Aurora MySQL and Aurora PostgreSQL to consolidate their MySQL and PostgreSQL databases. We also see many customers migrate from legacy databases like Oracle or Microsoft SQL Server to Aurora PostgreSQL. These customers who are “break-free” have grown tired of paying high licensing fees and locking themselves into legacy databases. Customers with high growth want to scale quickly and seamlessly in all regions. They also want to be able to integrate across AWS services.
Scalability
You can enable autoscaling. It will increase the storage capacity when you have more storage. It will also decrease the size of your database if there is a decrease in storage space.
Cost-Effective
Only pay for the processing power and storage space you use. There are no upfront fees or other charges. It’s simple to make monthly payments.
Security
Use AWS Key Management Service to create encryption keys that protect your data.
High availability and durability
You can create replicas of the Aurora in many Availability Zones. It’s a global database that can easily be distributed across multiple AWS regions, which could decrease the local read/write speed.
Support for Migration
To migrate your local database to Aurora, you can use the pg-dump or MySQL dump commands.
Fully Managed
Cost-effective: Only pay for what you use. There are no upfront costs or other fees. It’s simple to make monthly payments. Migration support: To migrate your local database from Aurora to Aurora, you can use the pg-dump or MySQL dump commands. Aurora is fully managed: You can start using it immediately. All you need to do is create an instance using the AWS RDS console or call an API from your code. There is no need to worry about provisioning, updating, or upgrading. The Aurora Database’s entire architecture is built on top of a traditional DBMS. It reuses the majority of DBMS components such as transaction manager, query execution engine, and recovery manager. These changes are:
A primary replica setup is used Remote storage of the data can be replicated Only changelogs are to be saved to the remote disk
This allows for the creation of many new features, such as:
Instant crash recovery: You don’t need to replay logs from the last checkpoint Rapid failovers: There’s no need to worry about which replica database has the most recent redo log record. The storage layer handles that. Backtracking: Because the storage layer has streamed redo logs, it can “rewind” the data to specific points in the past without having to restore a checkpoint from the S3 backup
#1. Login to the AWS management console and open RDS. #2. Click on create database. #4. Select the Aurora MySQL version you need. #5. Create a DB cluster identifier and set the credential settings username and password. #6. Select the instance configuration from the dropdown option and choose an option to create replica or not. #7. Select the connectivity options as shown below. #8. Choose from existing VPC security group or create a new one. #9. Enable enhanced monitoring, select the granularity and monitoring role option. #10. Finally, click on create database. Aurora Serverless ACUs v2 cost $0.12 an hour, twice the price of provisioned Aurora ACUs. This means:
Minimum current running cost: 4 ACUs, $0.48 an hour or $350 per monthly For workloads that are pathologically triggering the auto-scaling function, there is a minimum scalability increase of 30 seconds or $0.0005 for a half ACU.
The monthly cost for Aurora Serverless V2 is $350. Each auto-scale event will be charged at least $0.0005. Although the equivalent Aurora capacity is $175 per month, it would not have responsive serverless auto-scaling.
#1. Software as a Service (SaaS)
#2. Gaming purpose
AWS Aurora functions in the same manner as Relational Database. It provides high throughput, massive storage capacity, high availability, and high availability.
#3. Enterprise Application
Aurora’s compatibility with MySQL and PostgreSQL
DB Snapshots are usually quick to complete, but it will depend on how much and what format of data is being migrated.
Architecture Design
The Aurora database storage system is reliable and fault-tolerant. The database storage for Aurora is independent of the instances. Aurora stores data in six copies, each with 10GB chunks. These copies are distributed to three Availability Zones. Even if you only have one Aurora instance, there will still be six copies of your data.
Performance
RDS uses SSDs storage for improved I/O throughput performance. There are two SSD-backed storage options available. One is for high-performance OLTP applications, while the other is for general-purpose, cost-effective use. Aurora offers twice the performance of PostgreSQL and five times that of standard MySQL on comparable hardware. Aurora’s performance has been consistently higher and more consistent.
Database Engine Support
RDS is compatible with MySQL, PostgreSQL, and MariaDB, as well as Microsoft SQL Server and Oracle. Aurora is compatible with both PostgreSQL as well as MySQL. This means that you can use your existing database tools and apps on both PostgreSQL and MySQL without making any changes.
Durability and Availability
Aurora has a unique storage model that allows for continuous backups and restores with very low RPO (recovery points objective). This makes it more reliable and durable than RDS. Data is durable by design in Aurora. There are always multiple copies of your data. Each Aurora cluster has six storage nodes spread across three AZs. Even if you only have one compute node, there are still multiple copies of your data.
Resilience
Because of its architectural design, Aurora is more resilient than RDS. It is quick to recover from failures. If a compute node crashes, Aurora can recover quickly.
Storage
RDS storage auto-scaling scales storage capacity to 64 TiB (except SQL Server’s 16 TiB) to accommodate growing database workloads. There is no downtime. Aurora automatically increases storage by increasing it from a minimum of 10 GB to a maximum of 128 TiB. The storage is increased in 10 GB increments without any effect on database performance.
Scalability
Vertical Scaling: RDS and Aurora both allow you to scale memory and compute resources to a maximum of 244 GiB RAM and 32 virtual CPUs. In a matter of seconds, you can scale operations. Aurora Auto Scaling Dynamic: Aurora Auto Scaling dynamically adjusts how many Aurora Replicas are available for an Aurora DB cluster by using single-master replication. RDS does NOT support such Auto Scaling.
Replication
RDS can be used to provide up to five replicas. The process of replication is also slower than Aurora. Aurora can provision up to 15 replicas, and the replication takes only a few seconds. Aurora scales quicker because it can quickly add new read replicas.
Failover
In RDS, failover to read the replica happens manually. This could cause data loss. Multi-AZ (Standby Instance) can be used to automate failover and prevent data loss. To prevent data loss, Aurora uses failover to read replicas automatically. Aurora has a faster failover time.
Cluster Endpoints
RDS has a cluster endpoint that you can use to execute your write queries. It is the DNS pointer to your current master database instance. RDS routes the endpoint to the new master via a simple DNS change during a failover. The cluster endpoint is still available in Aurora for writing queries. This endpoint also acts as a load balancer for your read replications. This endpoint can be used to answer your read queries.
Backup
RDS automatically creates and saves backups of your DB instances during your DB instance’s backup window. RDS makes a snapshot of your DB instance as a storage volume, backing up all databases and not just the ones you select. Aurora automatically backs up cluster volumes and keeps restoring data for the duration of the backup retention period. Aurora backups are continuous and incremental so that you can quickly restore any point within the backup retention period.
Durability and availability
Backups and restore
DynamoDB offers an on-demand backup as well as PITR (Point in-time backups), which allows you to access any database state. DynamoDB is capable of backing up any amount of data. Performance and availability will not be affected. Backup takes very little time, and users don’t have to worry about backup schedules or background processes. AWS allows backup recovery with just one API call.
Access Control
However, Aurora also provides MySQL and PostgreSQL-compatible connection interfaces to connect to the database.
Conclusion
That was it. We are all entering a new era in relational databases, and Aurora is only the beginning. Customers have responded with overwhelming agreement. Leaders in every industry–like Capital One, Dow Jones, Netflix, and Verizon–are migrating their relational database workloads to Aurora, including MySQL and PostgreSQL-compatible editions.
