AWS Aurora Postgres
Compatibility: Aurora is fully compatible with existing PostgreSQL databases, which means that any application, tool, or code that runs on a PostgreSQL database can run on Aurora with little or no modification.
Performance: Aurora has been designed to deliver high performance and supports a high number of concurrent connections. It can handle large volumes of data and traffic.
Scalability: Aurora automatically scales your database to match your application’s requirements. It supports up to 64 TB of storage and can scale compute capacity up to 488 GB of memory and 96 vCPUs.
Durability and Availability: Aurora automatically replicates your data across multiple AZs in a region, and continuously backs up your data to Amazon S3. This helps ensure that your data is safe and available, even in the event of a failure.
Security: Aurora is built with multiple layers of security, including network isolation using Amazon VPC, encryption at rest using keys you create and control through AWS Key Management Service (KMS), and encryption of data in transit using SSL.
Fully Managed: AWS takes care of the underlying infrastructure, so you can focus on application development. This includes hardware provisioning, software patching, setup, configuration, automatic backups, and recovery.
Serverless option: For unpredictable workloads, Aurora Serverless can automatically scale database capacity up and down as needed.
Integrated with AWS ecosystem: Aurora is deeply integrated with the AWS ecosystem, which means it works seamlessly with AWS services like AWS Lambda, Amazon RDS, Amazon S3, and AWS Glue.
Demo Day 1 Video:
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