Aurora database 101: aurora database engine?

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This vid helps get started w/ Aurora database.

i. Amazon Aurora is a relational database engine developed by Amazon Web Services (AWS). It is designed to provide high performance, scalability, and availability while maintaining compatibility with MySQL and PostgreSQL. Here's an overview of the Aurora database engine:

**1. Architecture**:
- Aurora is built on a distributed, fault-tolerant architecture that separates compute and storage layers.
- It replicates data across multiple availability zones within an AWS region to ensure high availability and durability.
- The storage layer uses a distributed, SSD-backed storage system that automatically scales as your database grows.

**2. Performance**:
- Aurora is designed for high performance and low latency, making it suitable for applications with demanding throughput and response time requirements.
- It uses a multi-tenant, distributed caching system to accelerate read operations and reduce disk I/O.
- Aurora's storage system is optimized for both read and write workloads, with support for parallel query processing and efficient data storage formats.

**3. Scalability**:
- Aurora can automatically scale storage capacity up to 64TB per database instance without downtime or performance impact.
- It supports up to 15 read replicas per Aurora database cluster for horizontally scaling read-heavy workloads.
- Aurora Serverless is a mode that automatically scales compute capacity based on workload demand, allowing you to pay only for the resources you use.

**4. Compatibility**:
- Aurora is compatible with MySQL and PostgreSQL, which means you can use existing MySQL or PostgreSQL tools, drivers, and applications with Aurora databases.
- It supports common features of MySQL and PostgreSQL, including stored procedures, triggers, and user-defined functions.

**5. Managed Service**:
- Aurora is a fully managed service provided by AWS, which means AWS handles routine database management tasks such as patching, backups, and failover.
- AWS manages the underlying infrastructure, including hardware provisioning, software installation, and database setup, allowing you to focus on developing and optimizing your applications.

**6. Security**:
- Aurora provides built-in security features such as encryption at rest and in transit, IAM integration for authentication, and network isolation using VPC (Virtual Private Cloud).
- It supports fine-grained access control using database users and roles, allowing you to restrict access to sensitive data and operations.

**7. Global Database**:
- Aurora Global Database allows you to replicate your database across multiple AWS regions for disaster recovery and low-latency global access.
- It supports cross-region read replicas and automatic failover to a secondary region in case of a primary region failure.

Overall, Amazon Aurora offers a powerful and cost-effective solution for running relational databases in the cloud, with features tailored for high performance, scalability, and availability. It is well-suited for a wide range of applications, from small-scale web applications to large enterprise workloads.

Learn more@ https://www.youtube.com/c/ITGuides/search?query=aws.