Analyzing DynamoDB metric on CloudWatch

To get a better understanding of DynamoDB metrics, considering the fact that we don't have much of our data in our product table, go to the Query and Scan operations console and perform various Query and Scan operations back to back in order to get some metrics. Simply clicking on the Query and Scan buttons with some sample conditions will do the job for you.

Of course, in real time, in production systems, you would not need to do this as we will automatically have sufficient reads, writes, queries, and scans in progress.

Let's understand DynamoDB metrics on Cloudwatch:

Almost every operation in Cloud is measured in terms of bytes read/written. CloudWatch keeps track of the requests that we make to DynamoDB and stores it in the internal data store. While generating the graphs, we will use these data points, which will help us analyze the performance.

You can also analyze other CloudWatch metrics to better understand the DynamoDB behavior. These graphs will also help you decide upon the throughput values set for the tables and secondary indexes. If you see the consumed read/write capacity reaching the provisioned read/write capacity, then you can increase the provisioned throughput and vice versa.

Always look for consistent metrics; you might miss out on certain spikes because a lot of graphs give you an average of values over the last 5 minutes of time. For more detailed metrics, you can go to the CloudWatch console and look out for DynamoDB metrics at https://console.aws.amazon.com/cloudwatch/https://console.aws.amazon.com/cloudwatch/.