Frequently Asked Questions about AWS AURORA SERVERLESS

Yes, it is possible to scale up or down an Aurora Serverless instance. Aurora Serverless has an auto-scaling feature that allows the database to automatically adjust its capacity up or down based on the workload.

1. Cost-Effective: Aurora Serverless provides a cost-efficient and pay-as-you-go model. You are only charged for the compute capacity used, and you can easily scale up and down to match your application’s needs., 2. High Availability and Fault-tolerance: Aurora Serverless provides built-in availability and fault-tolerance, so you can focus on building applications without worrying about the underlying infrastructure., 3. Automated Scaling: Aurora Serverless automatically scales the compute capacity according to your application’s needs, so you don’t have to manually adjust your infrastructure., 4. Low Latency: Aurora Serverless can quickly spin up and down resources in response to application requests, which leads to lower latency and better performance., 5. Easy to Use: Aurora Serverless is easy to use and manage, and you can quickly deploy and manage applications on the platform.

No, Aurora Serverless does not support read-write splitting.

Aurora Serverless is based on a pay-per-use pricing model. This means you are charged based on the amount of compute and storage resources you use, as well as the amount of time your functions are running. The pricing is based on the number of Aurora Capacity Units (ACUs) used per second and the amount of storage used.

No, Aurora Serverless does not support read replicas.

The primary use case for Aurora Serverless is for applications that have unpredictable usage patterns or require a dynamic scaling of resources. It is ideal for applications that require quick scaling up and down of resources, such as web applications, mobile backends, and APIs. It is also suitable for bursty workloads, such as batch processing, machine learning, and analytics.

The compute capacity of an Aurora Serverless instance is determined by the database engine’s Auto Scaling feature. This feature dynamically adjusts the compute capacity of the instance based on the current workload. It will scale up or down as needed to maintain a consistent level of performance. The Auto Scaling feature is based on the Aurora Serverless scaling policy, which is set by the user. The scaling policy determines the minimum and maximum capacity of the instance, as well as the target utilization rate.

The maximum compute capacity for Aurora Serverless is 32vCPUs and 244 GiB of memory.

Yes, Amazon Aurora Serverless supports auditing and logging. Amazon CloudWatch Logs and Amazon CloudTrail are used for auditing and logging. These services enable you to monitor and audit AWS API calls, track changes to resources, and analyze operational and performance trends.

Yes, Aurora Serverless supports high availability. It is designed to automatically scale compute capacity in response to application demand, and can be configured to provide high availability with Multi-AZ deployment.

No, Aurora Serverless does not currently support failover. However, you can use multiple Availability Zones to increase availability and fault tolerance.

1. Ability to scale up and down automatically in response to application demand.. 2. Low latency, with response times of less than a second.. 3. High availability, with up to 15 replicas across multiple Availability Zones.. 5. Security, with support for encryption at rest and in transit.. 6. Flexible deployment options, with the ability to deploy in Amazon Virtual Private Cloud (VPC).. Aurora Serverless performance characteristics include:. 4. Cost efficiency, with pay-per-use pricing and the ability to save costs when the database is idle.

No, Aurora Serverless does not currently support sharding.

No, Aurora Serverless does not currently support custom indexing.

The maximum number of databases allowed in an Aurora Serverless instance is 64.

It typically takes less than 10 minutes to set up an Aurora Serverless database.

Yes, Aurora Serverless supports custom metrics and monitoring through Amazon CloudWatch. CloudWatch allows users to monitor the performance of their Aurora Serverless instances. This includes metrics such as compute utilization, memory utilization, storage utilization, and more. CloudWatch also enables users to create custom metrics and alarms based on their specific needs.

No, Aurora Serverless does not currently support global clusters.

Yes, Aurora Serverless supports point-in-time recovery. You can specify a specific point in time to which you want to restore your database.

No, Aurora Serverless does not currently support cross-Region replication.

Yes, Aurora Serverless supports auto scaling. Auto scaling is enabled by default for Aurora Serverless clusters, and can be configured to scale up or down based on the amount of incoming requests and the amount of available resources.

Aurora Serverless is a fully managed, auto-scaling, serverless relational database, while Amazon Redshift is a petabyte-scale data warehouse service. Aurora Serverless is designed to help you save costs by automatically scaling up or down based on usage, while Amazon Redshift is designed to help you quickly analyze large datasets by providing fast query performance. Aurora Serverless offers a pay-per-use model, while Amazon Redshift requires a fixed monthly fee. Aurora Serverless also supports automatic failover and high availability, while Amazon Redshift does not.

AWS Aurora Serverless is a fully managed, auto-scaling version of the Amazon Aurora database engine that starts up, shuts down, and scales up or down based on your application’s database requests. Aurora Serverless is designed to automatically start up, shut down, and scale capacity up or down based on your application’s database workload. It enables you to run your database in the cloud without the need for provisioning, patching, or managing any servers. Aurora Serverless runs in the AWS cloud and is available in both MySQL and PostgreSQL compatible editions.

The minimum compute capacity for Aurora Serverless is 0.125 ACUs (Aurora Capacity Units), and the maximum compute capacity is 32 ACUs.

Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora (a MySQL and PostgreSQL compatible relational database service). It automatically starts, scales, and shuts down database capacity with per-second billing for applications with unpredictable or intermittent usage. Traditional Aurora is a provisioned database service that enables customers to launch, run, and scale relational databases in the cloud with a choice of MySQL or PostgreSQL compatibility. Unlike Aurora Serverless, traditional Aurora requires customers to provision the database capacity and pay for it regardless of usage.

No, Aurora Serverless does not support load balancing. It is designed to provide on-demand scalability, so you will need to use other services for load balancing.

No, Aurora Serverless does not support automated backups. However, you can use a third-party tool such as AWS Data Pipeline or AWS Lambda to back up Aurora Serverless databases.

The maximum storage size for an Aurora Serverless instance is 64 terabytes.

No, Aurora Serverless does not support in-memory analytics. It is designed to work with traditional relational databases.

Aurora Serverless manages query throughput by automatically scaling the database capacity up or down based on the current query load. It can scale up to a maximum of 64vCPUs and 244 GiB of memory, and scale down to a minimum of 2vCPUs and 4 GiB of memory. Aurora Serverless also automatically pauses when there is no incoming query load and resumes when it detects incoming requests.

No, Aurora Serverless does not currently support automatic backups. However, you can use the AWS Database Migration Service to migrate data from an existing database to an Aurora Serverless DB cluster.

No, Aurora Serverless does not support automatic indexing. Aurora Serverless is an on-demand, auto-scaling configuration for MySQL and PostgreSQL compatible relational databases. To optimize query performance, users must manually create and maintain indexes.

Yes, Aurora Serverless can be used with other AWS services such as Amazon S3, Amazon DynamoDB, Amazon EMR, Amazon RDS, and Amazon Redshift. It can also be used in conjunction with AWS Lambda, Amazon API Gateway, and Amazon Cognito for serverless applications.

No, Aurora Serverless does not support in-memory caching. It does support read-only caching with Aurora MySQL, Aurora PostgreSQL, and Aurora Global Database.

Yes, Aurora Serverless can integrate with other AWS services, such as Amazon CloudWatch and Amazon S3. Additionally, Aurora Serverless can be integrated with other AWS services such as Amazon Aurora, Amazon DynamoDB, Amazon Kinesis, and Amazon Redshift.

Aurora Serverless is billed based on the amount of compute that is used. The billing model is divided into two categories: the Aurora Capacity Unit (ACU) and Aurora Serverless Data API (SDAPI) charges. ACU charges are calculated based on the amount of memory and CPU used, while SDAPI charges are based on the number of API requests and the data transferred.

The minimum Aurora Serverless instance size is db.t2.micro.

Aurora Serverless supports relational queries using SQL, stored procedures, and functions. It also supports NoSQL queries using Amazon DynamoDB API. Additionally, it supports full-text search queries using Amazon Elasticsearch Service.

Yes, Aurora Serverless supports data encryption. Encryption is available for both the data stored in the database, as well as data in transit. Data at rest is encrypted using the AWS Key Management Service. Data in transit is encrypted using Transport Layer Security (TLS).

No, Aurora Serverless does not support multi-AZ deployments.

Aurora Serverless can have a maximum latency of up to 5 seconds, although this is dependent on the workload and other factors.

No, Aurora Serverless does not support global databases.

Yes, Aurora Serverless can support large-scale deployments. It is designed to scale up and down automatically and can handle up to 15 terabytes of data. Additionally, it offers the ability to manage multiple databases and clusters in a single instance.

Yes, Aurora Serverless is compatible with MySQL. Aurora Serverless is a fully managed relational database service offered by Amazon Web Services (AWS). It supports the MySQL and PostgreSQL databases, and can scale up or down automatically based on application needs.

No, Aurora Serverless does not support read-only replicas.

No, Aurora Serverless does not currently support multi-master replication.

The maximum storage size for an Aurora Serverless database is 64TB.

Aurora Serverless is a version of Amazon Aurora, a relational database engine, that automatically starts up, shuts down, and scales capacity up or down based on your application’s needs. Amazon RDS is a web service that makes it easy to set up, operate, and scale a relational database in the cloud. While Amazon RDS is a fully managed service for relational databases, Aurora Serverless is an on-demand, auto-scaling version of Amazon Aurora. Aurora Serverless is designed to provide the performance and availability of a traditional database, while only charging for usage when the database is in use. Amazon RDS is designed to provide a more traditional database service, with consistent performance and availability, and requires payment of a fixed fee regardless of usage.