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Integrate Amazon SQS with Instagram

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

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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 Instagram

Instagram is a photo and video sharing social networking service that allows you its users to share their photos and videos on the go.

Instagram Integrations

Best ways to Integrate Amazon SQS + Instagram

  • Amazon SQS Integration Amazon SQS Integration

    Instagram + Amazon SQS

    Create Queue to Amazon SQS from New Media Posted in Instagram Read More...
    Close
    When this happens...
    Amazon SQS Integration New Media Posted
     
    Then do this...
    Amazon SQS Integration Create Queue
  • Amazon SQS Integration Amazon SQS Integration

    Instagram + Amazon SQS

    Create Message to Amazon SQS from New Media Posted in Instagram Read More...
    Close
    When this happens...
    Amazon SQS Integration New Media Posted
     
    Then do this...
    Amazon SQS Integration Create Message
  • Amazon SQS Integration Amazon SQS Integration

    Instagram + Amazon SQS

    Create JSON Message to Amazon SQS from New Media Posted in Instagram Read More...
    Close
    When this happens...
    Amazon SQS Integration New Media Posted
     
    Then do this...
    Amazon SQS Integration Create JSON Message
  • Amazon SQS Integration Gmail Integration

    Amazon SQS + Gmail

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

    Amazon SQS + Gmail

    Send Email in Gmail when New Queue is created in Amazon SQS Read More...
    Close
    When this happens...
    Amazon SQS Integration New Queue
     
    Then do this...
    Gmail Integration Send Email
  • 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 + Instagram in easier way

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

    Triggers
  • New Queue

    Triggers when you add a new queue

  • New Media Posted

    Triggers every time a photo or video is posted to your account.

    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

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

How Amazon SQS & Instagram 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 Instagram 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 Instagram.

    (2 minutes)

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

Integration of Amazon SQS and Instagram

Amazon SQS

Amazon Simple Queue Service (Amazon SQS. is a simple hosted queue for storing messages as they travel between computers. It provides reliable, highly scalable, fully managed message queuing with a pay-as-you-go pricing model. Amazon SQS supports more than one million messages per second and can handle thousands of concurrent connections. Amazon SQS performs the same way regardless of the number of users or vpume of incoming messages. Therefore, you won’t need to worry about Amazon SQS breaking as your application grows. In addition, Amazon SQS is cost effective as it allows you to use only the resources that you need.

Instagram

Instagram is an online photo sharing application developed by Kevin Systrom and Mike Krieger, purchased by Facebook in April 2012 for approximately US$1 billion in cash and stock. Instagram allows users to take pictures and apply digital filters to them. Users can share their photographs through social networking services such as Facebook and Twitter, or via email. The service has gained a lot of popularity with users mainly because it allows photo sharing in a very easy way on mobile devices.

Integration of Amazon SQS and Instagram

In this section we will describe how Amazon SQS was integrated with Instagram. We will also explain how each of these components works together to benefit both applications.

Amazon SQS Integration with Instagram

Instagram uses Amazon SQS for its background task processing. Since the service is cloud-based, it can be scaled quickly to handle sudden spikes in traffic, which is important for a popular social media site like Instagram. Instagram’s operations team found it hard to scale their own fleet of servers up and down manually. They found AWS Auto Scaling to be one of the most useful services offered by AWS. With Auto Scaling, they could automatically provision new servers when needed and shut them down after timeouts when traffic subsided. This allowed them to have the capacity needed when required but not waste money on additional servers during low traffic hours. AWS Auto Scaling also helped them avoid manual scaling errors since it automatically provisions new servers based on ppicies and metrics that they set. For example, they could set up a ppicy that if the average CPU utilization on their servers goes above 70%, then Auto Scaling can spin up new EC2 instances automatically to help reduce this utilization. By using AWS Auto Scaling and AWS Elastic Load Balancing, they were able to easily add capacity when needed without having to worry about capacity planning, hardware procurement, provisioning, maintenance and operations. In addition, the ability to monitor usage patterns allowed them to predict when traffic would spike or drop so that they could ensure that there was always enough capacity available for their customers during peak times without paying for unnecessary extra capacity at other times. For example, if usage usually spikes at 10am every day, they can program Auto Scaling to increase capacity at 10am so that there are no problems with latency during peak times. If they do not remember to program Auto Scaling correctly, they can simply check historical reports from CloudWatch to find out when traffic spikes typically occur so that they can program Auto Scaling appropriately. These reports are also useful since they let you know what the average load and request rates are over time so that you can anticipate future changes in load and plan accordingly.

Benefits of Integration of Amazon SQS and Instagram

There are many benefits of integrating Amazon SQS with Instagram. For example, while Instagram was processing photos in the background, it would often generate error messages such as “Service Unavailable” or “Queue Full” due to insufficient capacity on its servers. However, these error messages weren’t ideal for users since these errors would make their experience unpleasant. Users viewing photos would experience latency delays or even partial failures if the errors occurred too frequently. In addition, this would result in increased costs for Instagram due to increased infrastructure costs as well as reduced revenues due to loss of users who might stop using the site altogether if the errors were too frequent or severe. To spve this problem, Instagram decided to offload some of its task processing onto Amazon SQS using a Lambda function that was triggered by CloudWatch Events whenever a task was added to the queue. This way, Amazon SQS handled all of the background processing while Instagram did not have to worry about handling excess load by providing more infrastructure or paying more for extra resources on demand. If the queues became full and became unable to process pending tasks any longer, this would trigger CloudWatch Events again so that Lambda could help discard some tasks from the queues. This meant that Instagram was not responsible for handling load spikes since these were now handled by Amazon SQS instead which could handle more load than Instagram could afford on its own since it allowed them to scale easily as needed without having to worry about capacity planning, hardware procurement, provisioning, maintenance and operations costs. This meant that both applications benefited from this integration. Instagram did not have to worry about excess load handled by itself while Amazon SQS handled requests from multiple applications including Instagram itself as well as other customers using AWS Lambda functions such as billing applications where large amounts of data were being processed in real time.

Conclusion

The process to integrate Amazon SQS and Instagram 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.