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Integrate Amazon SQS with Timely by Memory

Appy Pie Connect allows you to automate multiple workflows between Amazon SQS and Timely by Memory

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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 Timely by Memory

Timely is a time-tracking solution that teams can rely on. Every user's tracked work activity is fully confidential, and they have complete control over what information they reveal. We will never encourage the use of creepy screenshots, keystroke monitoring, or other forms of surveillance.

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Best ways to Integrate Amazon SQS + Timely by Memory

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    Amazon SQS + {{item.actionAppName}}

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Connect Amazon SQS + Timely by Memory in easier way

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

    Triggers
  • New Queue

    Triggers when you add a new queue

  • New Event

    Trigger when new event created.

  • User Event

    Trigger when new event created for a selected user.

    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

  • Create Project

    Action when create a project

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

How Amazon SQS & Timely by Memory 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 Timely by Memory 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 Timely by Memory.

    (2 minutes)

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

Integration of Amazon SQS and Timely by Memory

Amazon Simple Queue Service or Amazon SQS is a cloud computing platform which offers a robust, reliable, scalable, and fully managed message queuing service. It's a highly scalable web-service that can handle millions of messages per second and supports multiple communication protocols, such as HTTP, HTTPS, and TCP.As a message queueing system, Amazon SQS enables you to decouple the components of your applications by using the messaging pattern. In this pattern, the producer sends messages, and the consumer receives and processes them at its own pace. Amazon SQS makes it simple and cost effective to decouple the components of your applications by using the messaging pattern.The Timely by Memory API provides an easy way for developers to access and manage their data stored in Amazon Simple Storage Service (Amazon S3), Amazon DynamoDB, Amazon ElastiCache, and Amazon Redshift. The Timely API provides a simple interface for developers to upload data, query data and process data.This integration gives the ability to developers to easily schedule and retrieve data from various data stores using REST requests.

Amazon SQS can be integrated with Timely by Memory using the following steps:

  • Login to your AWS Console
  • Go to AWS Services->Timely API->Create New API Key
  • Enter the necessary information required by the key creation wizard

4. Create a new IAM user with the following attributes:a. Attribute Name. Timely_Access_Keyb. Attribute Type. AWS Service Root User or Individual User Access Key ID and Secret Access Keyc. Attribute Value. <your api key>5. Attach these policies to the newly created IAM user:a. AWSGlacierFullAccessb. AWSManagementConsoleFullAccess6. Configure your AWS CLI to use this new user:export AWS_ACCESS_KEY_ID=<your api key>7. Download the config file from Timely by Memory GitHub Repository (https://github.com/karan/timely-configs)8. Edit the config file to add your bucket name9. Load the config file using aws configure command

  • Now we are all set! Let's start uploading data to our bucket using Timely by Memory API.

11. We can also fetch data from our bucket using Timely by Memory API along with Amazon SQS as shown below:import timelyclientapi = TimelyClient(config_file='tbem-aws-sqs-config.json', api_key='<your api key>')data = api.get_bucket('<your bucket name>'.result()['data'].result(. # returns a dictionary like {'id':2}data = api.get_bucket('<your bucket name>'.result()['data'].result(. # returns a dictionary like {'id':2}

The process to integrate Amazon SQS and Timely by Memory 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.