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This article provides a unique perspective on Amazon Aurora.
What is Amazon_Aurora?
- MySQL and PostgreSQL compatible relational databases built for the cloud
Aurora Features
- Aurora's multi-master feature allows for the creation of multiple Writer masters in different AZs in multiple configurations.
- Automatic backup is always enabled on DB instances
- Unable to disable automatic backup
- Backup retention periods are managed by the DB cluster
- Deliver up to 5x the throughput of standard MySQL
- Up to 3 times the throughput of postgresql
In this scenario, both the web server of the EC2 instance and the database that performs OLTP processing need to be made available through a scalable configuration.
Therefore, the basic response is to set up Auto Scaling groups and ELBs for EC2 instances that span multiple availability zones.
In addition to this, the database will use Aurora serverless due to irregular peak processing.
Aurora Serverless allows you to create database endpoints without specifying the size of the DB instance class. Set minimum and maximum capacities.
In Aurora Serverless, database endpoints are connected to a proxy fleet. This proxy fleet autoscales the fleet of resources to which workloads are routed.
With a proxy fleet, Aurora Serverless automatically scales resources based on minimum and maximum capacity specifications, ensuring uninterrupted connections.
Aurora is a relational database built for the cloud and compatible with MySQL and PostgreSQL.
It can achieve faster performance than regular RDS, but ElastiCache is better suited for high-speed processing of user behavior data.
Amazon Aurora (Aurora) is a fully managed relational database engine, compatible with MySQL and PostgreSQL.
MySQL and PostgreSQL combine the speed and reliability of high-end commercial databases with the simplicity and cost efficiency of open source databases.
You can use the code, tools, and applications you currently use in your existing MySQL and PostgreSQL databases with Aurora, which delivers 5x the throughput of MySQL and 3x the throughput of PostgreSQL with a fraction of the workload, without changing much of your existing applications. Aurora delivers 5x the throughput of MySQL and 3x the throughput of PostgreSQL with a fraction of the workload, without changing most of your existing applications.
Amazon Aurora is designed to exceed 99.99% availability with six replications of user data across three availability zones and continuous backup to Amazon S3. Physical storage failures are transparently recovered, and instance failover typically takes less than 30 seconds. With Global Database, a single Aurora database can be used across multiple AWS regions for fast local reads and rapid disaster recovery. Global Database
Reference Site
About Aurora Availability
Measures with SLAs in place to ensure monthly availability of at least 99%.
Aurora can create a read replica in a different region than the source DB cluster. This approach improves failure recovery capabilities and facilitates migration from one region to another while extending read operations to a region closer to the user Amazon Aurora MySQL DB cluster can be created as a read replica in a different AWS region than the source DB cluster. This approach allows for the creation of a lead replica in a different AWS region than the source DB cluster. This approach improves disaster preparedness, scales read operations to AWS regions closer to users, and facilitates migration between AWS regions.
About Aurora Serverless
use case
The system is highly loaded during peak call center hours, but the cycle of load generation is not constant. The database is subjected to online transaction processing ( OLTP), and this processing must be scalable as well.
AWS database configuration to meet these requirements
The basic support is to set up Auto Scaling groups and ELBs for EC2 instances across multiple availability zones. In addition to this, the database will use Aurora serverless due to irregular peak processing.
Aurora Serverless allows you to create database endpoints without specifying the size of the DB instance class. Set minimum and maximum capacities. Aurora Serverless connects the database endpoint to a proxy fleet. This proxy fleet autoscales the fleet of resources to which workloads are routed. With a proxy fleet, Aurora Serverless automatically scales resources based on minimum and maximum capacity specifications, ensuring uninterrupted connections.
About AutoScale
Aurora and RDS do not automatically scale performance through autoscaling.
Databases provided by AWS other than Aurora
dynamo DB
