![]() ![]() ![]() "ARN": "arn:aws:connect:us-east-1: :instance/ /queue/ ", "ARN": "arn:aws:connect:us-east-1: :instance/ /routing-profile/ ", "ARN": "arn:aws:connect:us-east-1: :instance/ /agent-state/ ", "AgentARN": "arn:aws:connect:us-east-1::instance/ /agent/ ", ![]() Here is an example event from our Kinesis Stream, You can see how and where we are parsing out the values: Giving the allow-read-from-kinesis-STREAM NAME IAM privs to your Lambda function. The trigger for the function is the Kinesis Stream with a batch size set up at 50. Unless dealing with thousands of rows you can also turn auto scaling off, it is very inexpensive to run this table. The Dynamo table we use is set up with read and write capacity of 3 and we basically never even hit 1. This is the value you want to be able to check against when looking for existing values in the table.ĭon't forget to also enable the TTL column from you table settings, this allows you to remove unneeded columns. When setting up the Dynamo table the most important part is to set up the Primary partition key correctly. Using DynamoDB, Lambda, Kinesis Streams, API Gateways, and Slack. Collection of ways to integration Amazon Connect with other systems to get real time data and notifications. ![]()
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