Incident Resolution with AI-ChatOps and AWS

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Then, you have to register an integration with Hubot on a Slack configuration page. This page issues an API Token that is necessary to work the integration. You can foun additiona information about ai customer service and artificial intelligence and NLP. Now that we know AWS CLI is very useful and that it supports an extensive API, let’s use it more for daily development and operation works through Slack, which is a very popular chat tool. ChatOps, which is used in the title, means doing operations via a chat tool. Our mission and ambition is to challenge the status quo, by doing things differently we nurture our love for craft and technology allowing us to create the unexpected.

The Lambda which was created earlier should route the messages to the SNS topic. Make sure the SNS topic ARN is updated on the Lambda as the environment variable so it knows which SNS topic to send the message to. 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.

Logging the history of my past SQL Saturday presentations from Blog…

2.11 Before we continue, confirm the output of the AWS CloudFormation called “chatops-lex-bot-xyz-cicd”. You should find three outputs from the CloudFormation aws chatops template. 2.10 Once you see the successful output of the CloudFormation script “chatops-lex-bot-xyz-cicd”, everything is ready to continue.

“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. To send notifications, for example, when an AWS CodePipeline project starts or finishes, we will create a SNS topic and configure Chatbot to map that SNS topic. Then, we create an aws_codestarnotifications_notification_rule that notifies the SNS topic when one of these events occur. Event messages sent to that SNS topic will end up as alerts on the Slack channel.

In order to achieve this, you need to click the rules button on the left navigation pane within AWS whilst you’re in the EventBridge service. Lindsay Brock is the former Head of Product for Mattermost, Inc. Prior to joining Mattermost in January 2015, she served as a product manager for SpinPunch, a Y Combinator-backed online gaming startup.

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. By embracing ChatOps, organizations can automate repetitive and routine tasks through the use of chatbots. AWS Chatbot can be configured to execute various AWS actions based on specific commands or triggers within the MS Teams environment. This automation not only saves valuable time but also reduces the risk of human errors and ensures consistency in performing operational tasks. In the current DevOps world, teams rely on communication channels like chat rooms to interact with team members and the system they operate.

First, most developers lack the deep learning expertise necessary to create bots that can intelligently interpret and respond to text. In addition, developers must also provision, manage, and scale the compute resources necessary to run the bot’s code. The lambda function will get triggered by the SNS topic and get the response_url and slack message as arguments.

From the DevOps perspective

Major tasks in the public Cloud go toward building a proper foundation (the so called LandingZone). The main goals of this foundation are providing not only an AWS Account access (with the right permissions), but also the correct Cloud Center of Excellence (CCoE) approved products and services. But it can also be easily utilized with Chime/MS Teams or a normal Web-frontend, as the integration is channel-agnostig through an API Gateway integration layer. Then, you will combine all of this, integrating a ChatBot frontend where users can issue requests against the CCoE and Ops team to fulfill AWS services easily and transparently.

• You can import the JSON file into Postman and execute a RESTful test call to the API Gateway endpoint.
• 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.
• Adjusting these parameters allows you to manage false positives and tune the volume and type of findings on which you wish to be notified and take action.
• 5.2 Choose the “From an app manifest” to create a new Slack App and paste the sample code from the /test folder slack-app-manifest.yml .
• Centralizing AWS alerts in MS Teams through the integration of AWS Chatbot offers numerous benefits for organizations seeking to improve collaboration, incident management and overall efficiency while maintaining robust security.

Folks are rarely as diligent as we (and, belatedly, they) wish they were when it comes to security. With AWS Chatbot you can send notifications to chat client and also trigger commands from your chat client. AWS Chatbot integrated with MS Teams adheres to AWS Identity and Access Management (IAM) policies. Channel Guardrail Policies enable administrators to define granular permissions for different channel members. This ensures that only authorized personnel can access sensitive AWS resources and perform actions within the chat interface as defined by Channel Guard rails.

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. First of all, we will create a new Serverless project and inside define functions, responses to HTTP events, SNS topics, and all integrations needed. 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.

New Relic provides Real-time analytics and full-stack visibility at cloud scale. With New Relic Alerts, you get a single tool to manage alerting policies for the New Relic platform. New Relic Alerts also integrate with Slack, but the native integration … From where I sit, Slack with AWS Chatbot feels like a major risk factor that largely goes unacknowledged by the folks responsible for managing risk appropriately. If that’s you, you might want to look a little more closely into your company’s ChatOps guardrails.

Slack’s signing secret can be found in the Slack app’s credentials section. 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. That completes the short demonstration of how Chatbot works and how to setup one.

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Lindsay is an alumnus of the University of Waterloo, where she earned a bachelor of applied science degree in engineering. Mattermost Enterprise E10 and E20 are commercial versions of Mattermost designed for high-trust organizations and include upgrade and installation support. For more information on features and pricing, visit mattermost.com/pricing.

Let’s type hubot ec2 run –dry-run to validate the config and then hubot ec2 run to start running an EC2 instance. Once our Slack bot is configured, we will create a new Serverless application, so we need to install AWS Serverless Framework via npm. Before proceeding make sure you have your own Slack workspace where you have admin access. This image will explain how the status message from the Glue job will land into the Slack channel. “[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 output of the generated package-file (devops-packaged.yml) will be stored locally and used to executed the aws cloudformation deploy command. The multi-environment pipeline is building 3 environments (Dev, Staging, Production) with different quality gates to push changes on this solution from a “Development Environment” up to a “Production environment”. This will make sure that your AWS ChatBot and the account vending is scalable and fully functional before you release it to production and make it available to your end-users.

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. Testing Chatbot channel and its configuration using test chat messages which dispatches test message to all SNS topics and then gets delivered to the configured chat based channels. You can adjust the source not to send the events in the first place (such as tweaking the EventBridge rule or CloudWacth alarm).

Once you finish the set up, you will start receiving notifications on Slack like this one. Enable Slash Commands and click on “Create New Command”, then you can create your desired command, after that fill in the “Request URL” option with a random URL which will be changed by the API Gateway URL later. “Usage Hint” can be used to show example arguments to Slack users. Pulumi AI is an experimental feature that lets you use natural-language prompts to generate Pulumi infrastructure-as-code programs in any language. This page is a web-based version of the open-source Pulumi AI project.

The second scenario with AWS Chatbot is to trigger commands from the Chat Client. Nice read Anchal Marwah, really useful tool for monitoring & alerting, Incident management and automating tasks and workflows. This solution allows for the configuration of the auto-remediation behaviour based on finding type and finding severity. For each finding type you can define if you want the offending S3 object to be automatically quarantined or if you want the finding details to be reviewed and approved by a human in Slack prior to being quarantined.

AWS Serverless Application

Summaries are also displayed in push notifications from Slack and Microsoft Teams. The way it works, CloudWatch triggers an alarm that notifies the SNS topic, which activates Chatbot to notify the chat room. All this happens securely from within the Slack channels you already use every day. The competition welcomes submitters from most countries around the globe. However, individuals or organizations may be disqualified if they are based in a nation, state, province, or territory where U.S. or local law prohibits participating in the competition or receiving a prize.

With marbot, you get alerts in Slack or Microsoft Teams when a job fails. Ask marbot to monitor Batch for you and receive alerts in Slack or Microso… Never one to spy an ill-defined buzzword without enthusiastically launching a service into the category, AWS created a full-on service called, of course, AWS Chatbot.

Sumo Logic provides a unified platform for all logs and metrics. Analyze all data in real-time and monitor apps and infrastructure in real-time. Scheduled Searches are saved searches that run automatically at specified intervals against your logs and ca… Full walkthrough instructions instructions for configuring Slack and deploying the solution via AWS CDK are available in a blog post here.

Before proceeding to deploy the solution ensure your environment is setup with the following pre-requisites. You can use GitHub Actions to build, test, and deploy your source code whenever your GitHub Repository changes. It can be challenging to keep track of all the deployed changes when working in a team. There is a lot of powerful technology under the hood that is used to get Hubot to this point, so I’m sure at some sort of scale you will be able to see the wow factor, but a stand alone instance doesn’t really show that off. I think that if there was greater utilisation, to the point where the back-end was seeing heavy use (of components like Redis) then it would be easier to see the value. The final step simply involves using a post request to send the data to our endpoint.

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. Teams can set which AWS services send notifications where so developers aren’t bombarded with unnecessary information.

Implementing memory management with Golang’s garbage collector

Pulumi AI Answers is an archive of commonly asked infrastructure-as-code questions, anonymized and curated by Pulumi. These generated programs are a great place to start when building cloud infrastructure with Pulumi. Now that we have the basic infrastructure components deployed, lets move on to setup the other components and complete the alerting setup. 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.

Whilst AWS Chatbot can do the above, it is restricted to Slack and Chime. Whereas the process above can post to any endpoint, whether it be teams, discord, slack, etc. Additionally, we can capture a vast range of events from nearly every service within the AWS Environment via EventBridge. ChatOps fosters a collaborative culture by bringing all stakeholders, including developers, IT operations, and business teams, into one shared workspace. Integrating AWS Chatbot with MS Teams channels promotes transparency and open discussions around AWS infrastructure, deployments, and ongoing projects.

In a similar manner you can define the minimum severity level (Low, Medium, High) that a finding must have before the solution will take action. Adjusting these parameters allows you to manage false positives and tune the volume and type of findings on which you wish to be notified and take action. An emoji at the beginning helps you understand what is happening quickly.

Slack’s security team is excellent, because it pretty darn well has to be. If it isn’t, your deepest chat secrets are but a SQL query away. All the mentioned uses cases utilises the Cloudwatch Events/alarms to trigger the SNS topic and in turn calls the AWS Chatbot for the notifications and Commands that can viewed and triggered from chat clients. When we trigger AWS CLI commands , it gets processed by the AWS Chatbot to trigger the required services. Since the beginning, marbot has worked based on the push principle. You configure your AWS account in a way to send data to marbot.

AWS Chatbot integration with MS Teams channels allows you to receive real-time alerts and notifications from your AWS resources directly into your Teams environment. This feature streamlines incident management, enabling DevOps teams to stay informed and take prompt actions in case of any service disruptions, errors, or anomalies. The instant visibility and centralized communication help in reducing Mean Time to Resolution (MTTR) and enhancing overall service reliability.

If teams are using either of these two for collaboration, they can easily setup monitoring and alerts using Chatbot on AWS. 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. At present, AWS Chatbot’s functionality is somewhat limited, given its focus on one-way notifications rather than more interactive conversations, particularly ones that would allow users to take direct actions with AWS services.

So, we are going to use a Terraform module that launches a CloudFormation stack behind the scenes to workaround this limitation. From the dropdown list at the top right, choose the Slack workspace that you want to use with AWS Chatbot and choose Allow. With AWS handling the integration details, the company claims it only takes a few minutes to configure the service.

Anyway, some enterprising folks eventually instrumented Slack a bit, because “Jimothy, do you want to go to lunch? ” isn’t that far removed from “AWS, deploy to production.” The sound effect Slack plays when that message arrives is the creeeeak of Pandora’s Docker Container opening. This is largely considered a boon for regulators looking to simplify their e-discovery. If we specially look at AWS services , the AWS has a tool called AWS Chatbot which helps to enable ChatOps in its environment. To communicate with AWS APIs, you either need a NAT gateway or VPC endpoints.

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