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CHATBOT AWS HOW TO

Note: Remember to follow the least privilege principle to restrict unnecessary permissions. Incident Manager permissions – Allows calling Incident Manager APIs in supported clients.AWS Support command permissions – Allows calling AWS Support APIs in supported clients.Lambda-invoke command permissions – Allows Lambda-invoke commands in supported clients.Read-only command permissions – Allows read-only commands in supported clients.Notification permissions – Allows AWS Chatbot to retrieve metric graphs from Amazon CloudWatch.If you choose to create a new IAM role, you will need to provide a role name and the policy templates attached to this role. IAM role: you can select to create an IAM role or an existing one.

In this demo, we selected a public channel named aws-chatbot.

Channel type: choose the Slack channel type.

Logging (optional): you can enable AWS Chatbot to publish logs to Amazon CloudWatch Logs.

This name cannot be changed once the configuration is created.

Configuration name: type a name for your configuration.

Next, you need to allow the requested permissions to access the Slack workspace:Īfter you click “Allow”, you need to provide configuration details: On the main page, choose “Slack” under chat client, and then click on “Configure client”. Open the AWS Chatbot service on the console. To set up AWS Chatbot notifications, you need to configure the client. The AWS Chatbot Slack integration is easy to configure and benefits various groups of users allowing them to monitor systems and respond to events efficiently: Support teams can set up AWS Chatbot custom messages about operational events, DevOps teams can get AWS Chatbot notifications about security findings in real-time, and Finance teams can receive budget alerts directly in the Slack chat room.ĪWS Chatbot Slack Integration: Pre-requisitesĪWS Chatbot Slack Integration: Let’s Set It Up!

CHATBOT AWS HOW TO

In the Slots section, add the following information to create a new slot.This article describes how to implement the AWS service Chatbot to visualize alarms in Slack channels and address situations before they become full-blown issues, whether it is a budget deviation, a system overload, or a security event. There are a few different ways to create new slots and I’ll discuss a few methods below. In Lex, variables are stored in Slots that contain the following: Is there anything I can help you with today? Slots New Hello IntentĬustomer - Hi Bot - Hi there, what’s your name? Customer - my name is Dave Bot - Hi Dave, it’s nice to meet you.

Having your bot just reply with Hi or Hello is pretty cool but it isn’t much of a conversation. The NLU program gets rid of the punctuation and capitals so using them can break the system. When you are creating your utterances, type them in all lower case with no punctuation.

What other questions can you think of getting your bot to answer? Quick Tip You can also have a go at making your bot answer these questions:

We’re going to expand on this later so make sure you get it working! What does your bot say if the user says Hi or Hello. You can add intents for a load of things, just repeat the process you’ve done with different utterances and responses. Being able to tell you its name is cool, but for it to be useful, we’d want it to do more than that.