ChatOps, Slack Bot, and AWS Serverles Framework

Once the request is authenticated, it triggers the processing lambda function through the SNS topic and passes the response_url for delayed responses and the message. Available Now You can start to use AWS Chatbot with Microsoft Teams today. AWS Chatbot for Microsoft Teams is available to download from Microsoft Teams app at no additional cost.

If you don’t have a pipeline, the fastest way to create one for this use case is to use AWS CodeStar. Go to the AWS CodeStar console and select the Static Website template (shown in the screenshot). AWS CodeStar will create a pipeline with an AWS CodeCommit repository and an AWS CodeDeploy deployment for you. After the pipeline is created, you will need to add a manual approval stage. It’s even easier to set permissions for individual chat rooms and channels, determining who can take these actions through AWS Identity Access Management. AWS Chatbot comes loaded with pre-configured permissions templates, which of course can be customized to fit your organization.

Otherwise, I enter my Microsoft Teams credentials and one-time password and wait to be redirected. In this case the aggregator index region will be Ohio, however, you can choose other region. AWS Chatbot currently supports service endpoints, however there are no adjustable quotas.

How to manage AWS resources using ChatOps

Many DevOps teams build their own bots and integrate them with the likes of Slack and Microsoft Teams. Microsoft offers Azure Bot Service and Bot Framework as one way to do this, while Google Cloud has Dialogflow. I don’t know about you, but for me it is hard to remember commands. When I use the terminal, I rely on auto-complete to remind me of various commands and their options.

Finally, the code have some changes for lambda function for helping to call to aws bot and run commands. To change the default account in the channel, enter @aws set default-account

and select the account from the list. You can configure AWS Chatbot for multiple AWS accounts in the same chat channel. When you work

with AWS Chatbot for the first time in that channel, it will ask you which account you want to use. Marbot consantly applies the latest monitoring configuration to all AWS accounts under monitoring.

This flow connects the work needed, the work happening, and the work done in a persistent location staffed by people, bots, and related tools. Transparency tightens the feedback loop, improves information sharing, and enhances team collaboration. Now, I can type @aws alias run mac us-east-1 as a shortcut to get the same result as above.

DevSecOps with AWS – ChatOps with AWS and AWS Developer Tools – Part 2

What channel members are allowed to do is the intersection of role permissions and guardrail policies. If you have existing chat channels using the AWS Chatbot, you can reconfigure them in a few steps

to support the AWS CLI. For example, if you enter @aws lambda get-function with no further arguments,

the Chatbot requests the function name. Then, run the @aws lambda list-functions

command, find the function name you need, and re-run the first command with the corrected option. Add more parameters for the initial command with @aws function-name

name.

You can also directly type in the chat channel most AWS Command Line Interface (AWS CLI) commands to retrieve additional telemetry data or resource information or to run runbooks to remediate the issues. Seventh, deploy the pipeline code with updates, in this update a SNS Topic is introduce for chatbot notifications, also the stacks create a role for chatbot users, and Teams Configuration for AWS Chatbot. This solution emphasizes AWS Chatbot custom actions for release management purposes. However, you can reuse the solution by modifying the Lambda code for your specific use case and build on top of it. In the top-right corner, select the Slack workspace to configure and choose Agree. Your Slack workspace installs the AWS Slack App, and the AWS account that you logged in with can now send notifications.

I am pleased to announce that, starting today, you can use AWS Chatbot to troubleshoot and operate your AWS resources from Microsoft Teams. Thank you to our Diamond Sponsor Neon for supporting our community. Learn more about the program and apply to join when applications are open next. You can pass Approved or Rejected for result with custom message as the Figure 10 depicts. This is a project for CDK development with Python for creating multi AWS account deployment. Revcontent is a content discovery platform that helps advertisers drive highly engaged audiences through technology and partnerships with some of the world’s largest media brands.

In UpperCamelCase, the first letter of every word is capitalized. The log shows a command that a user can copy, paste, and edit to re-run the query for

viewing logs. Selecting a different region will change the language and content of slack.com.

In the second section, I paste—again—the Microsoft Teams Channel URL. I enter the Microsoft Teams channel URL I noted in the Teams app. Sixth, go to AWS Chatbot console and select Microsoft Team Option in menu has depicts the following image. You can also access the AWS Chatbot app from the Slack app directory. The destination email address to which the scan notifications are sent.

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Now go back to your Slack application and enable interactive components. SLACK_VERIFICATION_TOKEN is the environment variable that contains your Slack verification token. You can find your verification token under Basic Information on Slack manage app page.

Using Slack in a ChatOps collaboration model, the promotion can be done in a single click from a Slack channel. And because the promotion happens through a Slack channel, the whole development team knows what’s happening without checking email. 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.

According to the first part of this series, in this blog post you can learn more about chatops and how AWS Chatbot could help you and make your operations more efficient and modern. You pay for only the underlying AWS resources needed to run you applications. Find the URL of your private Slack channel by opening the context (right-click) menu on the channel name in the left sidebar in Slack, and choosing Copy link. AWS Chatbot can only work in a private channel if you invite the AWS bot to the channel by typing /invite @aws in Slack. For the up-to-date list of supported services, see the AWS Chatbot documentation.

AWS Chatbot is available in all public AWS Regions, at no additional charge. With AWS Chatbot, you can define your own aliases to reference frequently used commands and their parameters. Aliases are flexible and can contain one or more custom parameters injected at the time of the query. Create the .zip files for the AWS Lambda function code for the CheckBuildStatus and ApprovalEmail functionality. To create notification.zip and approval.zip, use the following commands.

AWS Chatbot is an interactive agent that makes it easier to monitor and interact with your AWS resources in your Microsoft Teams and Slack channels. The IAM policies will be consistent across

chat channels that support commands in your AWS Chatbot service. “DevOps teams widely use chat rooms as communications hubs where team members interact — both with one another and with the systems that they operate,” Bezdelev said. DevOps teams widely use chat rooms as communications hubs where team members interact—both with one another and with the systems that they operate.

Go to Slack’s API bot Website and click on Create an App (from scratch). Get started today and configure your first https://chat.openai.com/ integration with Microsoft Teams. Then I type a command to understand where the billing alarm comes from.

AWS Chatbot offers similar command completion and guides me to collect missing parameters. Within seconds, I receive the test message and the alarm message on the Microsoft Teams channel. At this stage, Chatbot redirects my browser to Microsoft Teams for authentication. If I am already authenticated, I will be redirected back to the AWS console immediately.

Not only does this speed up our development time, but it improves the overall development experience for the team.” — Kentaro Suzuki, Solution Architect – LIFULL Co., Ltd. Now that all the pieces have been created, run the solution by checking in a code change to your CodeCommit repo. When the CodePipeline comes to the approval stage, it will prompt to your Slack channel to see if you want to promote the build to your staging or production environment. Choose Yes and then see if your change was deployed to the environment. Slack is widely used by DevOps and development teams to communicate status. Typically, when a build has been tested and is ready to be promoted to a staging environment, a QA engineer or DevOps engineer kicks off the deployment.

Operationalize frequently used DevOps runbook processes and incident response tasks in chat channels with custom notifications, customizable actions, and command aliases. The diagram below shows how AWS Chatbot allows users to receive notifications, run commands, and interact with AWS Support or AWS services directly from their preferred chat environment. In this blog post, I will show you how to integrate AWS services with a Slack application. I use an interactive message button and incoming webhook to promote a stage with a single click. It also lacks a prebuilt integration with Teams, which some may see as a significant functional gap. Microsoft recently claimed it has 13 million daily users for Teams, compared to the 10 million Slack reported earlier this year.

This command will create the AWS Cloudformation template that contains all the resources to be deployed and which are needed by our application, you can use the Cloudformation dashboard to view the progress. Once our Slack bot is configured, we will create a new Serverless application, so we need to install AWS Serverless Framework via npm. “Usage Hint” can be used to show example arguments to Slack users.

In the course of a day—or a single notification—teams might need to cycle among Slack, email, text messages, chat rooms, phone calls, video conversations and the AWS console. Synthesizing the data from all those different sources isn’t just hard work; it’s inefficient. Now that you know how to do this Slack and CodePipeline integration, you can use the same method to interact with other AWS services using API Gateway and Lambda.

By using AWS Chatbot, Revcontent has avoided potential downtime.

To clone the chatops-slack repository for this pattern, use the following command. Gain near real-time visibility into anomalous spend with AWS Cost Anomaly Detection alert notifications in Microsoft Teams and Slack by using AWS Chatbot. 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.

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. AWS Chatbot gives users access to an intelligent interactive agent that they can use to interact with and monitor their AWS resources, wherever they are in their favourite chat rooms. This means that developers don’t need to spend as much time jumping between apps throughout their workday.

CloudWatch alarm notifications show buttons in chat client notifications to view logs related to the

alarm. These notifications use the CloudWatch Log

Insights feature. There may be service charges for using this feature to query and show

logs. Rollout enhanced monitoring of your cloud infrastructure with the click of a button. In the background, marbot creates CloudWatch alarms, EvntBridge rules, and more. In this blog, you learned how to use AWS Chatbot features, such as Custom notifications and Custom actions for Microsoft Teams, to enhance your ChatOps experience.

It is collaboration and communication-driven which lies at the very heart of DevOps. Hubot is your friendly-neighborhood robot that shall help us implement ChatOps. DevOps teams have used it for several purposes, such as knowledge management, task automation and incident management. There are four sections to enter the details of the configuration. In the first section, I enter a Configuration name for my channel.

To see screenshots of the notifications as they appear in a Slack channel, go to the assets folder in the GitHub chatops-slack repository. These issues often lead to increased security risks, delayed releases, and reduced team productivity. To address these challenges effectively requires a solution that can streamline SAST result management, enhance team collaboration, and automate infrastructure provisioning. For any AWS Chatbot role that creates AWS Support cases, you need to attach the AWS Support command permissions policy to the role. For existing roles, you will

need to attach the policy in the IAM console. More than 1,000 teams close 7,500+ alerts every week.Thousands of AWS accounts are monitored by marbot.Add marbot to Slack or Microsoft Teams and start your 14-day free trial.

Step 4: Complete the setup

To get started, you need to configure AWS Chatbot with your Microsoft Teams app and appropriate administration level permissions is required. A July 24 blog post by AWS’s Ilya Bezdelev shows exactly how that is done in a five-step process, explaining that the chatbot uses Simple Notification Service (SNS). In Slack, this powerful integration is designed to streamline ChatOps, making it easier for teams to manage just about every operational activity, whether it’s monitoring, system management or CI/CD workflows.

In this case, we will use AWS CLI commands to interact with AWS Support cases via these custom actions. 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.

Seb has been writing code since he first touched a Commodore 64 in the mid-eighties. He inspires builders to unlock the value of the AWS cloud, using his secret blend of passion, enthusiasm, customer advocacy, curiosity and creativity. His interests are software architecture, developer tools and mobile computing.

For more information about AWS Chatbot AWS Region availability and quotas,

see AWS Chatbot endpoints and quotas. AWS Chatbot supports using all supported AWS services in the

Regions where they are available. Slackbot should send a notification on the message thread with the confirmation string Approval Email sent successfully. To validate that the approval flow works as expected, choose the Approve button in Slack.

For information about troubleshooting issues related to Slack misconfigurations, see Troubleshooting AWS Chatbot in the AWS Chatbot Administrator Guide. Finally, under SNS topics, select the SNS topic that you created in Step 1. You can select multiple SNS topics from more than one public Region, granting them all the ability to notify the same Slack channel. Give your topic a descriptive name and leave all other parameters at their default.

Marbot ensures you and your team don’t miss alerts or notifications. Alerts can be sent directly to a channel or individual team members through an escalation strategy. ChatOps is a collaborative approach to operations that integrates chat platforms with automation tools and processes. It’s a way to bring together people, tools, and processes in a single chat interface to facilitate communication, collaboration, and execution of tasks within a team or organization. If you work on a DevOps team, you already know that monitoring systems and responding to events require major context switching.

When I click Yes to approve the build promotion, the approval result is sent to CodePipeline through API Gateway and Lambda (ApprovalHandler). The pipeline aws chatops continues on to deploy the build to the next environment. This lambda function will authenticate if the requests are legit and coming from Slack.

You can either select a public channel from the dropdown list or paste the URL or ID of a private channel. Andreas and Michael Wittig built marbot during the Serverless Chatbot Competition 2016. Since then, they have added new features and improved marbot step by step. The detailed statistics help you to optimize your alert configuration as well.

AWS Chatbot parses your commands and helps you complete the

correct syntax so it can run the complete AWS CLI command. 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. You can run commands using AWS CLI syntax directly in chat channels. AWS Chatbot enables you to retrieve diagnostic information, configure AWS resources, and run workflows. To follow along with the steps in this post, you’ll need a pipeline in AWS CodePipeline.

AWS Chatbot allows you to run AWS commands directly from your chat channels. It also enables you to use custom actions, which can be used to set up preconfigured action buttons that can be automatically added to your future similar / custom notification. These actions allow you to automate commonly used DevOps processes and incident response tasks. Using custom action, you can configure an action button to run either an AWS Command Line Interface (AWS CLI) or a Lambda function.

First of all, we will create a new Serverless project and inside define functions, responses to HTTP events, SNS topics, and all integrations needed. On the AWS Chatbot configuration page, I first select the Send test message. I also have an alarm defined when my estimated billing goes over $500. On the CloudWatch section of the Management Console, I configure the alarm to post a message on the SNS topic shared with Microsoft Teams. The name of the client environment for deployment of the application scan pipeline. Select the environment name from the dropdown list of allowed values.

You can also use Slack’s slash command to initiate an action from a Slack channel, rather than responding in the way demonstrated in this post. After the Slack application has been created, you will see the Basic Information page, where you can create incoming webhooks and enable interactive components. You’ll also need to build a Slack app with webhooks and interactive components, write two Lambda functions, and create an API Gateway API and a SNS topic. The lambda function will get triggered by the SNS topic and get the response_url and slack message as arguments. It will call the EC2 API in order to retrieve the status of the EC2 instance id, you can use EC2 API filters to query by name or another attribute. AWS Serverless plays an important role because we will build and deploy the whole solution from the AWS side using it.

With AWS handling the integration details, the company claims it only takes a few minutes to configure the service. All this happens securely from within the Slack channels you already use every day. For Development Slack Workspace, choose the name of your workspace. You’ll see in the following screenshot that my workspace is AWS ChatOps. ChatOps has been around for a decade but let’s admit that it is still a really awesome branch of DevOps.

If you followed the steps in the post, the pipeline should look like the following. “[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.”

Run AWS Command Line Interface commands from Microsoft Teams and Slack channels to remediate your security findings. You can enter a complete AWS CLI command with all the parameters, or you can enter the command

without parameters and AWS Chatbot prompts you for missing parameters. 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. Abhijit is the Principal Product Manager for AWS Chatbot, where he focuses on making it easy for all AWS users to discover, monitor, and interact with AWS resources using conversational interfaces.

• Synthesizing the data from all those different sources isn’t just hard work; it’s inefficient.
• Channel guardrail policies provide detailed control over what actions your channel members can take.
• For existing roles, you will

  need to attach the policy in the IAM console.

• I can also manage my aliases with the @aws alias list, @aws alias get, and @aws alias delete commands.

Teams can set which AWS services send notifications where so developers aren’t bombarded with unnecessary information. To top it all off, thanks to an intuitive setup wizard, AWS Chatbot only takes a few minutes to configure in your workspace. You simply go to the AWS console, authorize with Slack and add the Chatbot to your channel. (You can read step-by-step instructions on the AWS DevOps Blog here.) And that means your teams are well on their way to better communication and faster incident resolutions.

First, create an SNS topic to connect CloudWatch with AWS Chatbot. If you already have an existing SNS topic, you can skip this step. The Support Command Permissions policy applies only to the

AWS Support service. You

can define your own policy with greater restrictions, using this policy as a template. AWS Chatbot requires UpperCamelCase for the –query parameter.

For example, marbot creates new CloudWatch alarms for recently launched EC2 instances automatically. When something does require your attention, Slack plus AWS Chatbot helps you move work forward more efficiently. In a Slack channel, you can receive a notification, retrieve diagnostic information, initiate workflows by invoking AWS Lambda functions, create AWS support cases or issue a command. The Slack channel receives a prompt that looks like the following screenshot.

• This flow connects the work needed, the work happening, and the work done in a persistent location staffed by people, bots, and related tools.
• 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.

• What’s more, AWS fully manages the entire integration, with a service that only takes a few minutes to set up.
• In the backend, this API Gateway route requests to Lambda functions that interact with AWS Services in order to solve user requests.

Bots help facilitate these interactions, delivering important notifications and relaying commands from users back to systems. Many teams even prefer that operational events and notifications come through chat rooms where the entire team can see the notifications and discuss next steps. DevOps teams can receive real-time notifications that help them monitor their systems from within Slack. That means they can address situations before they become full-blown issues, whether it’s a budget deviation, a system overload or a security event. The most important alerts from CloudWatch Alarms can be displayed as rich messages with graphs.

I can also manage my aliases with the @aws alias list, @aws alias get, and @aws alias delete commands. At this stage, my Microsoft Teams team is registered with AWS Chatbot and ready to add Microsoft Teams channels. I open the Management Console and navigate to the AWS Chatbot section. On the top right side of the screen, in the Configure a chat client box, I select Microsoft Teams and then Configure client.

After the test message is delivered successfully, you should see a notification on the Slack channel. For more information, see Test notifications Chat GPT from AWS services to Slack in the AWS Chatbot Administrator Guide. For Send a notification to…, choose the SNS topic that you created in Step 1.

You can foun additiona information about ai customer service and artificial intelligence and NLP. ChatOps can help our clients to simplify and streamline many of their tasks over AWS services. To mitigate the risk that another person in your team accidentally grants more than the necessary privileges to the channel or user-level roles, you might also include Channel guardrail policies. These are the maximum permissions your users might have when using the channel.

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. This pattern presents a comprehensive solution that uses AWS Chatbot to streamline the management of static application security testing (SAST) scan failures reported through SonarQube. This innovative approach integrates custom actions and notifications into a conversational interface, enabling efficient collaboration and decision-making processes within development teams.

Almost ready, now is time to setup AWS chatbot in AWS Account, for this case the DevSecOps account. Imagine that you wish to approve with voice commands from your favorite tool the manual action required for promoting from one environment another. To find the Slack workspace ID, sign in to the AWS Management Console, open the AWS Chatbot console, and choose Configured clients, Slack, WorkspaceID. The channel ID of the Slack channel where you want the notifications sent. To find the channel ID, right-click the channel name in Channel Details on the Slack app. Slack redirects you from here to the Configure Slack Channel page.

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.