In the Lex Bot Editor we can create our first intent by clicking the "Create Intent" button. Then we change the output voice to "text only bot" since this bot just sends back text messages to the slack channel. We select "Custom bot" and enter a name for the bot. You have the option to select one of the samples, or "create your own". Open AWS Lex in one of the supported regions to create a Lex bot. Let's start by creating a simple Lex conversation bot in the AWS console In this blog entry we will show how to create a slack bot application using AWS Lex as the backend for conversational dialog services.
Employees can query information just by asking a question, from the slack desktop- or mobile app, and instantly get results. For instance, our WebGate internal slack bot can query data from various sources like group calendar, employee directory, vacation requests, CRM contacts, etc. Following are the steps for creating a CloudWatch log group.Chat bots can be very useful to quickly retrieve information without having to log in and click through applications. If not, we need to create a CloudWatch log group for receiving logs from the application. You can skip this step if you already have a CloudWatch log group with logs. The first step is, we need to send application logs to a CloudWatch log group. Creating a CloudWatch metric and alarm for metric filterĬreating a CloudWatch Log Group and Send Application Logs.Creating an SNS topic and configure AWS Chatbot Slack Client.Creating a CloudWatch metric filter for application errors.Creating a CloudWatch log group and send application logs.Following are the main steps that we need to follow. In this article, I will show you how we can use AWS CloudWatch and AWS Chatbot Slack Client for monitoring application errors. One of the objectives of a monitoring tool is to notify the users when the applications experience any errors or downtime. Monitoring application errors is a critical part of any Software product.
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