DynamoDB

Certain practices optimize code, prevent errors, and minimize throughput cost when working with various sources and elements. The following are some of the most important and commonly used best practices…

On unsuccessful processing of a request, DynamoDB throws an error. Each error consists of the following components: HTTP status code, exception name, and message. Error management rests on your SDK,…

DynamoDB streams enable you to track and respond to table item changes. Employ this functionality to create an application which responds to changes by updating information across sources. Synchronize data…

Amazon's Elastic MapReduce (EMR) allows you to quickly and efficiently process big data. EMR runs Apache Hadoop on EC2 instances, but simplifies the process. You utilize Apache Hive to query map reduce…

DynamoDB includes CloudTrail integration. It captures low-level API requests from or for DynamoDB in an account, and sends log files to a specified S3 bucket. It targets calls from the…

Amazon offers CloudWatch for aggregating and analyzing performance through the CloudWatch console, command line, or CloudWatch API. You can also use it to set alarms and perform tasks. It performs…

Utilize Data Pipeline's import/export functionality to perform backups. How you execute a backup depends on whether you use the GUI console, or use Data Pipeline directly (API). Either create separate…

Data Pipeline allows for exporting and importing data to/from a table, file, or S3 bucket. This of course proves useful in backups, testing, and for similar needs or scenarios. In…

Web Identity Federation allows you to simplify authentication and authorization for large user groups. You can skip the creation of individual accounts, and require users to login to an identity…

In granting permissions, DynamoDB allows specifying conditions for them through a detailed IAM policy with condition keys. This supports settings like access to specific items and attributes. Note − The DynamoDB…