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These databases deliver quick response times, even in extreme volumes of concurrent requests. Over the years, customers have used Amazon Alexa voice commands to order supplies, listen to music, support meetings, manage home devices, and get weather and news updates. But GetSessionToken must be called using an IAM user’s long-term AWS security credentials, and not through an IAM role. When a Lambda function executes, it automatically assumes its IAM execution role to interact with other AWS services. These databases help developers build and update applications quickly.In-memory databases are used for applications that require real-time access to data. Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Manage databases through custom skills with Amazon Alexa and AWS Systems Manager. In this case, you can retrieve the top session for a specific metric (for example, CPU, memory, DB time, and so on).The EC2 instance storing the .sql scripts should exist in every Region where you manage your databases. The token, provided to Alexa through the voice together with the command, is sent to STS through the GetSessionToken action.Here’s a challenge: The GetSessionToken action provided by STS cannot be requested directly by the Lambda function. These databases are designed to support ACID transactions, and maintain referential integrity and strong data consistency.MySQL and PostgreSQL-compatible relational database built for the cloud. The system stores this tag as a parameter in the Parameter Store tool provided by Systems Manager.If you have questions or suggestions, please leave a comment.The AWS CloudFormation template used to build the demo provides an IAM user’s long-term AWS security credentials as input parameters and stores them as encrypted parameters with Parameter Store.Finally, you can also learn to manage more advanced aspects of your databases with your voice. This intent runs a .sql script through the Systems Manager Run Command tool:When you request a reboot or a failover through voice, the Lambda function confirms the validity of the provided MFA token by calling the previously described GetSessionToken. Here’s the code run when you call the RebootInstance intent:AWS STS enables you to request temporary, limited-privilege credentials for IAM users or for federated users whom you authenticate. When you call the RebootInstance intent, the Lambda function calls the reboot_db_instance command directly, which in turn reboots a specific database instance or read replica (RDS or Aurora). Each Alexa skill needs a proper interaction model, including the following resources:When Alexa responds to intents with the potential to generate higher numbers of occurrences, code limits outputs to a maximum of 20 results and the API actions run with default page-size attributes.You can now reboot or failover a database instance through voice using the RebootInstance and the FailoverInstance intents, respectively. By storing data directly in memory, these databases deliver microsecond latency to applications for whom millisecond latency is not enough.Ledger databases provide a centralized and trusted authority to maintain a scalable, immutable, and cryptographically verifiable record of transactions for every application.Managed, Memcached-compatible, in-memory store. Amazon breaks down your “orders” into individual sounds. Get more out of Alexa. By calling the CloudWatch DescribeAlarms action, you can get a list of the alarms with the state equal to ALARM, filtered by the alarm prefix:To manage these resources properly through Alexa, you must set up some specific tags:This intent triggers a Lambda function, which calls the describe-db-instances RDS command to retrieve a list of the databases running in a specific Region, filtered by application.