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Integrate Amazon SQS with Slack

Appy Pie Connect allows you to automate multiple workflows between Amazon SQS and Slack

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About Amazon SQS

Amazon SQS is a fully managed message queuing service. It offers reliable, highly scalable, reliable messaging and transaction processing that lets you decouple tasks or processes that must communicate.

About Slack

Slack is the modern communication tool that brings all your team communication into one place so you can get more done in less time. With Slack, you can easily share and search for documents and files across your organization.

Slack Integrations
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  • Microsoft Teams Integration Microsoft Teams

Best ways to Integrate Amazon SQS + Slack

  • Amazon SQS Integration Slack Integration

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    Set Status in Slack when New Queue is created in Amazon SQS Read More...
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Connect Amazon SQS + Slack in easier way

It's easy to connect Amazon SQS + Slack without coding knowledge. Start creating your own business flow.

    Triggers
  • New Queue

    Triggers when you add a new queue

  • New Channel

    Triggers upon creation of a new #channel.

  • New Mention

    Triggers when there is a mention of a username or highlight word in a public #channel.

  • New Message Posted to Channel

    Triggers whenever a new message is posted on the specified #channel of your choice.

  • New Message Posted to Private Channel

    Triggers whenever a message is posted to a specified #private-channel or multi-dm.

  • New Starred Message

    Triggers when you star a message.

  • New User

    Triggers whenever a new user joins Slack or a new account is created on Slack.

    Actions
  • Create JSON Message

    Create a new JSON message using data from the source trigger

  • Create Message

    Create a new message.

  • Create Queue

    Create a new queue

  • Add Reminder

    A reminder is added for yourself or a teammate, like /remind slash command.

  • Create Channel

    Creates a new channel.

  • Send Channel Message

    A new message is posted to your chosen #channel.

  • Send Direct Message

    Send a direct message to a user or yourself through the Slackbot.

  • Send Private Channel Message

    A new message is posted to your chosen private channel.

  • Set Channel Topic

    Sets the topic on a specific channel.

  • Set Status

    Updates your Slack status to the specified text & emoji.

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Page reviewed by: Abhinav Girdhar  | Last Updated on July 01, 2022 5:55 am

How Amazon SQS & Slack Integrations Work

  1. Step 1: Choose Amazon SQS as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick Slack as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from Amazon SQS to Slack.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of Amazon SQS and Slack

Amazon Simple Queue Service (Amazon SQS. is a fully managed message queuing service in the cloud. It lets your applications communicate asynchronously by sending messages to queues. You can access your messages from anywhere with Amazon SQS mobile or web services.To use Amazon SQS you must have an active AWS account. The app that sends messages to the queue must be on the same region as the queue, while the app that consumes them must be in a different region. To work around this limitation, Amazon provides a solution called Cross-Region Queues .The messages are delivered within seconds from one region to another. The latency between the regions is less than 100ms, which is almost instantaneous.The advantages of using Amazon SQS are:Safety . All data is stored redundantly across multiple devices and jurisdictions, so it's always available when customers need it.Security . AWS provides a highly secure infrastructure for Amazon SQS. The security model used by AWS makes sure all the transactions are safe and encrypted.Protection . Data stored in Amazon SQS is highly available, meaning that messages aren't lost and will always be delivered when needed.Reliability . Since Amazon SQS is scalable, the application can avoid downtime and ensure efficiency during periods of high activity.Flexibility . Developers can use familiar tools like web browsers or command line interfaces to create and manage queues. Amazon SQS also automatically scales up or down based on workloads, so there's no need for you to manually adjust capacity based on traffic spikes.With Amazon SQS you can create a FIFO (First-In First-Out. queue or a LIFO (Last-In First Out. queue. However, FIFO queues are not recommended for production environments because they're not recoverable and messages are deleted when they reach the end of the queue.With the integration of Amazon SQS and Slack, users have more flexibility when it comes to communication. Slack is an online collaboration tool that allows teams to communicate effectively. It's designed to help your team get more done, whether you belong to a small company or a big enterprise.Slack helps you connect with co-workers, find information, and move your projects forward. It brings all your communication together – including chat, video calls, screen sharing, file sharing, and notifications – into one place so you can get more done, whether you belong to a small company or a big enterprise.The integration allows Amazon SQS users to automatically forward messages that contain specific keywords to Slack channels, allowing users to act faster and respond accordingly. Additionally, if a message contains any of these keywords, users will receive notifications on their devices or computers.

    Integration of Amazon SQS and Slack

To send messages from Amazon SQS to Slack channels, follow these steps. Create a new Lambda function in AWS. Enter any name you want for the function and select "Node.js" as the runtime environment. Open a new file and save it with the name sqs_to_slack_handler.js Copy the code below and paste it inside the file Then click Save under "Code editor" In the left navigation pane, select "Event sources"->"Add event source"->"Slack". A pop-up box will appear with three fields. Token , Team , and Webhook URL . Open your Slack team page and copy the Webhook URL in the pop-up window Go back to the previous pop-up window in AWS and paste the URL in the Webhook URL field Click Next twice to proceed Click Create function to create your new function Upload a file with some test data to your new Lambda function To do this go to the left navigation pane, select "Event sources"->"sqs_to_slack_event"->"Test". A pop-up box will appear with an upload button Click on "Test Function", then on "Test successfully sent" A message will appear saying. "Thanks! Your test message was successfully sent." Save this message for later (you'll need it later. Now you're ready to create your application blueprint Open up Visual Studio Code again (the one from Step 1. Click File -> Open Folder... then select the folder containing your function Copy all of your test message text Paste it inside the doPost(. function (the one from step 8. Then replace '<YOUR_AWS_KEY>' with your AWS key (you'll find it here . And replace '<YOUR_AWS_SECRET>' with your AWS secret key (you'll find it here . Replace <YOUR_AWS_ACCOUNT_NUMBER> with your AWS account number Replace <YOUR_AWS_REGION> with your AWS region Open up cloudwatch logs Select "Log streams"->"Log stream"->"Get log stream". A pop-up window will appear Enter "awslogs" as search parameter In the pop-up window click on "search logs". A log stream will appear with some log events Double click on any of these events (this will open up the corresponding log event. Look for an entry that says "data". "{"message". "Message Test"}" . This is our sample message With this value delete everything except for 'Message Test' Go back to VS Code and edit your Lambda function again Select "Event sources"->"sqs_to_slack_event"->"New event source". A pop-up window will appear Fill in the following fields. Name . Enter any name you want for this event source Type . Slack Target Arn . Enter the ARN of your SNS topic from Step 5 Data format . JSON Select "Create event source" Edit your Lambda function again Select "Event sources"->"sqs_to_slack_event"->"Update event source settings". A pop-up window will appear Set Event source type to Custom Leave every other setting unchanged Click Next twice to proceed Click Create function again Now you're ready to deploy your app blueprint Open up CloudFormation Select "Stack"->"Upload new template" Select the file that you created from Step 3 (the blueprint. Then click Next four times Click "Proceed with deployment" and wait until CloudFormation finishes uploading your template Once deployed open up IAM Go to Services & then select IAM Select Roles Find your recently created role and click on it Open up Attach Policy Select Rekognition Video Search from list Click Add In Attach Policy window scroll down to bottom and click Allow Note down this ARN for later You'll need it in Step 14 When you're done click Close Go back to IAM roles and select Attached Policies Find Rekognition Video Search policy from list Click on it Then click Attach Policy Check out this blog post if you want more info about this part Finally click Close Now you're ready to create a new CloudWatch Alarm Open up CloudWatch Logs Select "Log streams"->"Log stream"->"Get log stream". A pop-up window will appear Enter "awslogs" as search parameter In Popup window click on "search logs". A log stream will appear with some log events Double click on any of these events (this will open up the corresponding log event. Look for an entry that says "message". "<keyword> was added to <queue>" . Replace <keyword> with a keyword of your choice (for example. testing . And replace <queue> with one of your SQS queues (for example. sqs://dev-sqs-0l6mocgkd6q5lqf2vvlj7a8vxj7/testing . With this value delete everything except for <keyword> was added to <queue> Go back to VS Code and edit your Lambda function again Select "Event sources"->"sqs_to_slack_event"->"New event source". A pop-up window will appear Fill in the following fields. Name . Enter any name you want for this event source Type . SNS Data format . JSON Leave every other setting unchanged Click Create event source Open up CloudWatch Alarms Select Alarms -> Create Alarm Enter any name you want for this alarm Set Evaluation period to Once per second Set Threshold to at least 10% Click Create Alarm Now you're ready to create a new IAM role Open IAM Select Roles ->Create role Enter any name you want for this role Check AWSLambdaFullAccess as Attachment Type Select Next twice Click Create role Finally you're ready to create our API endpoint Open up API Gateway Select API -> Create API Select Blank template Give any name you want for this API Click Next twice Select No

The process to integrate Amazon SQS and Slack may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick solution to help you automate your workflows. Click on the button below to begin.