Integrate Amazon SQS with SendFox

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

  • No code
  • No Credit Card
  • Lightning Fast Setup
20 Million man hours saved

Award Winning App Integration Platform

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 SendFox

SendFox is an easy-to-use email marketing platform that includes a user-friendly dashboard, smart campaigns, automation series, numerous lists, landing sites, embedded forms, and more.

SendFox Integrations

Best Amazon SQS and SendFox Integrations

  • Amazon SQS Integration SendFox Integration

    Amazon SQS + SendFox

    Create List to SendFox from New Queue in Amazon SQS Read More...
    Close
    When this happens...
    Amazon SQS Integration New Queue
     
    Then do this...
    SendFox Integration Create List
  • Amazon SQS Integration SendFox Integration

    Amazon SQS + SendFox

    Unsubscribe Contact in SendFox when New Queue is created in Amazon SQS Read More...
    Close
    When this happens...
    Amazon SQS Integration New Queue
     
    Then do this...
    SendFox Integration Unsubscribe Contact
  • Amazon SQS Integration Amazon SQS Integration

    SendFox + Amazon SQS

    Create Queue to Amazon SQS from New Contact in SendFox Read More...
    Close
    When this happens...
    Amazon SQS Integration New Contact
     
    Then do this...
    Amazon SQS Integration Create Queue
  • Amazon SQS Integration Amazon SQS Integration

    SendFox + Amazon SQS

    Create Message to Amazon SQS from New Contact in SendFox Read More...
    Close
    When this happens...
    Amazon SQS Integration New Contact
     
    Then do this...
    Amazon SQS Integration Create Message
  • Amazon SQS Integration Amazon SQS Integration

    SendFox + Amazon SQS

    Create JSON Message to Amazon SQS from New Contact in SendFox Read More...
    Close
    When this happens...
    Amazon SQS Integration New Contact
     
    Then do this...
    Amazon SQS Integration Create JSON Message
  • Amazon SQS Integration {{item.actionAppName}} Integration

    Amazon SQS + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} Integration {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} Integration {{item.actionTitle}}
Connect Amazon SQS + SendFox in easier way

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

    Triggers
  • New Queue

    Triggers when you add a new queue

  • New Campaign

    Lists the campaigns.

  • New Contact

    Lists the contacts.

  • New List

    Lists the lists.

  • New Unsubscribe

    Triggered when a contact is unsubscribed.

    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 List

    Creates a new list.

  • Unsubscribe Contact

    Unsubscribes a contact.

Compliance Certifications and Memberships

Highly rated by thousands of customers all over the world

We’ve been featured on

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

How Amazon SQS & SendFox 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 SendFox 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 SendFox.

    (2 minutes)

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

Integration of Amazon SQS and SendFox

Amazon SQS ( Simple Queue Service . and SendFox are two of the popular services on Amazon Web Services. Amazon SQS is a distributed message queuing service, while SendFox is a messaging framework. These two services have been used separately by organizations over the years, but we will see how to use them together to create a reliable and highly scalable application.

Integration of Amazon SQS and SendFox

In this section, we will first learn about message queues. Message queues are important in any form of application as they help in decoupling an application from the rest of its components.

Message queues can be used for various purposes in an organization, such as:

  • To transmit data from one component to another. For example. a user can upload his/her photo on an application, which in turn will be stored on a system. The photo is then sent over to a queue for processing. The photo gets processed and is sent back to the user. In this case, the photo acts as a message which is sent over to the queue. 2. To pass XML documents quickly without being blocked by other applications. 3. To carry out business transactions between two applications in an organization or between two external applications. 4. To handle time-sensitive messages. 5. To create a persistence layer for information in an organization. 6. To schedule work to be done at a later time. 7. To maintain state information across multiple instances of an application. 8. To handle transient data that needs to be passed within an organization or outside it. 9. As a message broker within an organization or between organizations for communication between applications running on different servers. 10. To provide fault tperance for applications and components which are normally distributed across multiple servers and locations. 11. To provide reliability to applications and components when network failure occurs due to faults or maintenance of networks or servers . 12. As a temporary storage area for messages which need to be processed later on when there is adequate resource available than when applied initially . 13. As a temporary storage area for messages which need to be processed later on when there is adequate resource available than when applied initially . 14. As the medium of communication between the sender and receiver of messages which might not be communicating directly with each other otherwise . 15. As one of the many sources of data required by an application, like a database or disk file or web service etc . 16. As one of the many destinations of data required by an application, like a database or disk file or web service etc . 17. For many other purposes like the ones mentioned above!

Now that we know what message queues are, let us see how Amazon SQS works:

An application can send a message to Amazon SQS using Amazon Simple Queue Service API or using AWS SDKs such as PHP or Java SDK, or using REST APIs or using HTTP requests through any language that supports HTTP requests, including Javascript (NodeJS. . An application can also receive a message from Amazon SQS using Amazon Simple Queue Service API or using AWS SDKs such as PHP or Java SDK, or using REST APIs or using HTTP requests through any language that supports HTTP requests, including Javascript (NodeJS. . Applications can use Amazon SQS in conjunction with other Amazon Web Services like S3, Amazon Elastic Compute Cloud, Amazon Glacier, AWS Identity & Access Management and AWS Key Management Service . A message is stored in the queue until it is consumed by an application . Applications can access the messages from Amazon SQS using either REST APIs or using HTTP requests through any language that supports HTTP requests , including Javascript (NodeJS. Messages stored in Amazon SQS can also be accessed through AWS SDKs such as PHP and Java SDKs . Messages can be delivered only once – if you try sending the same message multiple times to the same queue name, then only one instance of it will be received . Amazon SQS does not guarantee that a message will be delivered at exactly the specified time - it only guarantees that it will deliver it by the time specified . You cannot set your own time limit on how long an individual message should remain in an Amazon SQS queue before expiring – there is no way to set it yourself . All messages expire within 24 hours of being placed on a queue – they do not stay forever! By default, all messages expire after a period of six days , so you have at least that much time to consume them before they expire. This means that if you don't consume them , they get automatically deleted after six days ! If you want your messages to last longer than six days , then you can pay a fee (called Cost Per Consumption. to keep them up longer – up to 30 days if you choose Basic Tier and up to 180 days if you choose Standard Tier . If you do not choose the Basic Tier or Standard Tier when keeping your messages longer than six days , then your messages will expire automatically after six days . If an application wants to send something more than 4KB (4 Kilobytes), then it has to compress it into a smaller size before sending it – otherwise it would not be able to send anything larger than 4KB! If an application wants to receive something more than 4KB (4 Kilobytes), then it has to uncompress it into a larger size before receiving it – otherwise it would not be able to receive anything larger than 4KB! A message could also be retrieved by specifying the sequence number of the message instead of the message content itself – this is called Ppling . When ppling a message , you can either use REST APIs or using HTTP requests through any language that supports HTTP requests , including Javascript (NodeJS. When ppling a message , you can either use REST APIs or using HTTP requests through any language that supports HTTP requests , including Javascript (NodeJS. While ppling , you can specify a maximum number of attempts which will be made while retrieving a message before giving up – this number is called Maximum Attempts . You cannot retrieve more than 50 messages at once – therefore, if you have more than 50 messages present in your queue, then you will have to retrieve them one at a time! You can delete individual messages from Amazon SQS by specifying their sequence numbers – this is called Dequeue . Messages deleted from Amazon SQS are deleted permanently – they cannot be retrieved again! You cannot delete two messages with the same sequence number at the same time! While deleting messages from Amazon SQS , you can specify an expiration time for them – this is called Time To Live . You can specify the Time To Live when adding messages as well as when deleting them – this allows you to contrp how long your messages stay in your queue before expiring! You cannot modify the content of any message once it has been placed on an Amazon SQS queue – once it is placed , it is placed forever! Each message can contain up to 256 KB (256 Kilobytes. of data! The maximum number of concurrent connections allowed on an account is 100 - so if you have more than 100 concurrent connections trying to access your account simultaneously , then some of those connections might not succeed! While putting new messages on an Amazon SQS queue , your application only needs to specify a sequence number for those messages – this allows you to perform batch processing on your application! One thing about Amazon SQS is its scalability - if your application sends 10 messages / second and you have 10 servers / second , then you will have 1000 servers / second ! That's right - 1000 servers / second ! But if your application sends 10 messages / second and you have 500 servers / second , then your performance might suffer because you are sending too many messages simultaneously - which means that each server will still process only 10 messages / second due to concurrency contrp ! As I said earlier, there are two types of queues available on Amazon SQS - standard queues and FIFO queues ! If you have more than one type of application accessing your queue at the same time , then you will have to make sure that these two types of applications work together flawlessly ! FIFO queues guarantee that the first message pushed onto the queue will be consumed first by any application consuming from that queue - so if you want your first program / application to run first , then put it first in your FIFO queue ! If you want your second program / application to run second , then put it second in your FIFO queue ! Let us consider an example . suppose your FIFO queue consists of two programs - Program 1 and Program 2 - and both Programs 1 and 2 push three messages each onto their own FIFO queue respectively - so now you have six messages in your queue ! Now say Program 1 consumes three messages from its FIFO queue while Program 2 consumes three messages from its own FIFO queue - so now there are three left in both their FIFO queues

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