Tutorial: Using AWS Chatbot to run an AWS Lambda function remotely AWS Chatbot

To perform actions in your chat channels, you must first have the appropriate permissions. For more information about AWS Chatbot’s permissions, see Understanding permissions. But ChatOps is more than the ability to spot problems as they arise. AWS Chatbot allows you to receive predefined CloudWatch dashboards interactively and retrieve Logs Insights logs to troubleshoot issues directly from the chat thread.

Ultimately, ChatOps promotes conversation-driven development, from configuring automated scripts and plugins to sharing information regarding security event responses as notifications. This is great because it promotes visibility across the board. ChatOps creates a seamless environment that puts information, functions and businesses processes aws chatops into one centralized location such as Slack, Discord, Microsoft Teams (????), and Telegram. The move ties into the ChatOps trend where DevOps team members use chat tools to talk to each other and receive system notifications. Chat rooms and channels foster better collaboration and transparency, according to ChatOps adherents.

AWS Chatbot Now Integrates With Microsoft Teams

You

can define your own policy with greater restrictions, using this policy as a template. Follow the prompts from AWS Chatbot to fill out the support case with its needed parameters. When

you complete the case information entry, AWS Chatbot asks for confirmation. The log shows a command that a user can copy, paste, and edit to re-run the query for

viewing logs. You can specify parameters with either a double hyphen (–option) or a single hyphen (-option). This allows you to use a mobile device to run commands without running into issues with the mobile device automatically converting a double hyphen to a long dash.

If you already have an existing SNS topic, you can skip this step. Safely configure AWS resources, resolve incidents, and run tasks from Microsoft Teams and Slack without context switching to other AWS management tools. If you have less than administrative permissions, ensure you have the aforementioned permissions to create a configuration.

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This rule will simply watch for certain events and route this to an AWS target we choose. The final step simply involves using a post request to send the data to our endpoint. In this article, I won’t cover a specific Lambda for a specific event but I will provide you with a generic Lambda that you can play around with to match your specific requirements. After reading this article, you will have the ability to set up a rule within EventBridge that invokes a Lambda you’ve created based on a specific event within your AWS environment.

We can then use this information to store the stuff we need into variables. “[AWS’ Chatbot] beats rolling your own, which is a fun nerdy side project, but many teams don’t have the time,” said Ryan Marsh, a DevOps coach at consultancy TheStack.io in Houston. “Hopefully this is a sign of AWS prioritizing developer experience.”

The IAM policies will be consistent across

chat channels that support commands in your AWS Chatbot service. With minimal effort, developers will be able to receive notifications and execute commands, without losing track of critical team conversations. What’s more, AWS fully manages the entire integration, with a service that only takes a few minutes to set up. Communicating and collaborating on IT operation tasks through chat channels is known as ChatOps. It allows you to centralize the management of infrastructure and applications, as well as to automate and streamline your workflows. It helps to provide a more interactive and collaborative experience, as you can communicate and work with your colleagues in real time through a familiar chat interface to get the job done.

In order to successfully test the configuration from the console, your role must also have permission to use the AWS KMS key. This should give you a general idea about the demo process which I will be setting up next to demonstrate setting up of AWS chatbot. This image will explain how the status message from the Glue job will land into the Slack channel.

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Microsoft offers Azure Bot Service and Bot Framework as one way to do this, while Google Cloud has Dialogflow. Unflagging aws-builders will restore default visibility to their posts. Once unpublished, this post will become invisible to the public and only accessible to Alejandro Velez. Once unsuspended, aws-builders will be able to comment and publish posts again. The other construct create a SNS topic, and Microsoft Teams Channel Configuration.

For more information, see Apply least-privilege permissions in the AWS Identity and Access Management User Guide. To explain how AWS chatbot works and how it can be setup, I have built a simple process setup which will help demonstrate the same. Below image will show the whole process architecture and its components. Here I am building a simple data transfer ETL process where data is being loaded into a DynamoDB table from a data file in S3 bucket. The ETL part is handled by a Glue job which also transforms the data. For the purposes of this guide/demo we will be sending data to Slack.

You can also run AWS CLI commands directly in chat channels using AWS Chatbot. You can retrieve diagnostic information, configure AWS resources, and run workflows. To run a command, AWS Chatbot checks that all required parameters are entered. If any are missing, AWS Chatbot prompts you for the required information. AWS Chatbot

then confirms if the command is permissible by checking the command against what is allowed by the configured IAM roles and the channel guardrail policies. For more information, see Running AWS CLI commands from chat channels and Understanding permissions.

• In the first section, I enter a Configuration name for my channel.
• A typical scenario will be where teams are typing commands on a chat application and the bot is executing the commands on backend systems, all in a way of chatting with a bot.
• Think of a scenario where if you want to list all buckets on your AWS account, just ask the bot on a chat and it shows you all buckets.
• Imagine that you wish to approve with voice commands from your favorite tool the manual action required for promoting from one environment another.

In this post I will go through the basics of this AWS managed service called ‘Chatbot’ and demonstrate how quickly you can setup an alerting mechanism to Slack, monitoring an AWS Glue ETL job. If you’re new to AWS you can access the Lambda service by searching “Lambda” in the search bar within the AWS management console. Once you’ve done this, you should create your Lambda function as shown in the image above. The following is a fragment code, according to Monitoring CodePipeline events

Code example- Here the library pymsteams is used to construct a message card with the events information.