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In this blog, we are going to integrate Lambda with slack to receive important notification in the slack channel. We will accomplish the following task.
Prerequisites:
Step by step process to integrate Lambda with Slack:
Step 1: Go to your slack application where you might be able to see below scenario
Step 2: Click on your team name as below
Step 3: You will find a popup Menu as shown below and click on App and Custom Integration
Step 4: You will find the application site of Slack. Type “incoming” in the search box and select the Incoming Webhooks.
Step 5: Install the app in your respective Team.
Step 6: Select the channel and click on Add Incoming Webhook
Step 7: So the Incoming Webhook is being created.
Step 8: All you need is a Webhook URL that you can find as below and you can also customize name and image of the sender and save the setting.
Step 9: We will use the Webhook URL in Lambda Function
Step 1: Go to AWS Lambda Console and click on Get Started Now.
Step 2: Skip the Blueprint
Step 3: Insert Name and Description for your Lambda function.
Step 4: Go to the link https://s3-us-west-2.amazonaws.com/cloudthat.training/Lambda-slack-integration/lambd-slack-Integraion.dat and copy the code in the editor.
Step 5: Create a basic Execution role for lambda
Step 6: Leave other fields as it is and click on next.
Step 7: Review the function and click on Create Function.
Step 8: Your function is created and now put your webhook URL as “slack_url”’s value.
Step 1: Go to SNS and click on Create Topic.
Step 2: Provide the Information as shown below.
Step 3: Now we will create a subscription for the lambda function. Click on Create Subscription.
Step 4: Select Lambda Function as protocol and Endpoint as your lambda function ARN.
Step 5: Your Function is now read to get notifications from SNS.
Step 6: You can Test, click on Action and select Configure test event.
Step 7: You can get a sample event from following link https://s3-us-west-2.amazonaws.com/cloudthat.training/Lambda-slack-integration/test-lambda.dat and you can check Message in slack.
Step 1: Go to your EC2 Instance and create an alarm by clicking on Alarm.
Step 2: The window will pop up and provide the information as shown below and click on “Create Alarm”.
Step 3: Your alarm is created.
Step 4: We have provided the Average CPU Utilization to 85 % but if you want to get an alarm quickly, you can put it as 1%.
Step 5: Now if your CPU will go beyond threshold value you will get a Message in Slack.
So we have configured a lambda function to send Cloudwatch alerts to Slack application.We can send any alerts which are sent through SNS to slack.We can also send a custom message by changing the lambda code.If you have any queries regarding this blog you can ask the questions to the forum.clodthat.com or you can post a comment.
Thank you.
Cleanup:
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Cognex
Feb 3, 2021
Valuable Please Keep Updating Us
Anusha Shanbhag
Feb 18, 2021
Thank you. Definitely.
Cognex
Jan 6, 2021
Thanks For Sharing The Information The Information shared Is Very Valuable Please Keep Updating Us.
saikumar
May 21, 2019
I can’t open code from the cloudthat.training/Lambda-slack-integration/lambd-slack-Integraion.dat can anyone help
saikumar
May 21, 2019
I can’t open code from the cloudthat.training/Lambda-slack-integration/lambd-slack-Integraion.dat
peter
Jun 5, 2018
Could you please share the code. The link is in accessible.
shufil
Jan 2, 2018
i have getting issue while we creating subscription in SNS, it not got creating subscription
Max
Jul 6, 2017
Is it possible to do the same but check send ping or check https status and notify us via slack. Seems like you’ll get notified only if cpu gets over 85% here. But what if you want to monitor a website on a specific server?
VenkatAithagoni
Feb 16, 2017
Thanks, it worked. awesome info.
Vic
Jan 6, 2017
It is very easy and understanding, worked. very appreciated for sharing.
meathouse
Jul 8, 2016
Thanks! Worked perfectly. I followed a few online demos and this was the only one that worked. Each piece is broken down well. Huge time saver. Thanks again.
Rebecca
May 3, 2016
Very Helpful!!
sagar
Jan 23, 2016
very useful. thank you.
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