This lab walks you through to create an Amazon Timestream database and then create a table in that database. Next we will insert some values to the table using a Lambda function and then list them.
You will be practicing this lab using the Amazon Timestream Database and Lambda function.
Duration: 45 minutes
AWS Region: US East (N. Virginia) us-east-1
Amazon Timestream is a fast, scalable, and serverless time series database service for IoT and operational applications that makes it easy to store and analyze trillions of events per day.
Amazon Timestream saves you time and cost in managing the lifecycle of time series data by keeping recent data in memory and moving historical data to a cost optimized storage tier based upon user defined policies.
Amazon Timestream is serverless – there are no servers to manage and no capacity to provision, so you can focus on building your applications.
Amazon Timestream's purpose-built query engine transparently accesses and combines data across storage tiers without you having to specify the data location.
You no longer need to use disparate tools to access recent and historical data.
Amazon Timestream ensures that your time series data is always encrypted, whether at rest or in transit.
IoT applications : Amazon Timestream makes it possible for you to quickly analyze time series data generated by IoT applications using built-in analytic functions such as smoothing, approximation, and interpolation.
DevOps applications : Amazon Timestream is ideal for DevOps solutions that monitor health and usage metrics and analyze data in real-time to improve performance and availability. It collect and analyze operational metrics such as CPU/memory utilization, network data, and IOPS to monitor health and optimize instance usage
Analytics applications : Amazon Timestream enables you to easily store and analyze data at scale. It stores and processes the incoming and outgoing web traffic for your applications.
Log into AWS Management Console.
Create an Amazon Timestream Database.
Create a table in the database.
Create a Lambda function.
Insert data into the table.
View the data in the table.
Validation of the lab.