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Integrate Amazon SQS with strava

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

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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 strava

Strava is a fitness-tracking and social media app designed for runners and cyclists with three main features: tracking, connecting, and competing.

strava Integrations

Best ways to Integrate Amazon SQS + strava

  • Amazon SQS Integration Amazon SQS Integration

    strava + Amazon SQS

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

    strava + Amazon SQS

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

    strava + Amazon SQS

    Create JSON Message to Amazon SQS from New Activity in Strava Read More...
    Close
    When this happens...
    Amazon SQS Integration New Activity
     
    Then do this...
    Amazon SQS Integration Create JSON Message
  • Amazon SQS Integration Amazon SQS Integration

    strava + Amazon SQS

    Create Queue to Amazon SQS from New Club Activity in Strava Read More...
    Close
    When this happens...
    Amazon SQS Integration New Club Activity
     
    Then do this...
    Amazon SQS Integration Create Queue
  • Amazon SQS Integration Amazon SQS Integration

    strava + Amazon SQS

    Create Message to Amazon SQS from New Club Activity in Strava Read More...
    Close
    When this happens...
    Amazon SQS Integration New Club Activity
     
    Then do this...
    Amazon SQS Integration Create 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 + strava in easier way

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

    Triggers
  • New Queue

    Triggers when you add a new queue

  • New Activity

    Triggers when you post a new activity

  • New Club Activity

    triggers when any member of your selected club posts an activity.

    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 & strava 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 strava 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 strava.

    (2 minutes)

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

Integration of Amazon SQS and strava

Amazon SQS is a web service that enables the development of highly scalable applications for online shopping. It provides developers with a spution to distribute the workload among multiple servers. And, it helps in increasing the computing power of the application.

Strava is an application that tracks users’ biking and running activities via GPS on mobile devices. It lets users share their routes, speed, elevation, and other data with friends on strava.com.

Integration of Amazon SQS and strava

Amazon SQS makes it easy to build distributed applications that are responsive to end user requests. It does this by providing an enterprise-level, highly available, fault tperant, scalable, secure message queuing service. Developers can use Amazon SQS to handle message queues efficiently by leveraging single-digit millisecond latencies.

Strava has more than 23 million users worldwide. The application is gaining popularity, especially in biking communities all over the world. Developers of Strava must be aware of the fact that while creating an application, they must be able to scale it up for more users. If they fail to do so, then they will lose out on potential customers.

Now let us see how using the service provided by Amazon SQS is beneficial for Strava developers. We will discuss how it helps in improving app performance and scalability of the application.

Before we proceed further, let us understand the challenges faced by Strava developers when they created an application. To know what challenges they faced, let us take a brief look at the basic architecture of the application. We will discuss how it makes use of Amazon SQS.

There are three major components of the architecture:

The Web Application (Frontend)

The Middleware (Web Service)

The Database (Backend)

The Web Application displays frontend pages to users. There are many endpoints in the application that perform different tasks like capturing activity data, displaying content in different languages, etc. Each endpoint can communicate with backend services, which are consumed by the Middleware. This component acts as a bridge between the frontend and backend services of the application. It also manages storing and updating information in the database. The Middleware makes use of AWS SDKs like DynamoDB, S3, Kinesis, Lambda to get access to various AWS services to perform tasks. These services help in scaling the application by distributing the workload among multiple servers. For example, if a new server is added to handle an increasing number of requests from users, then the Middleware updates its configuration file accordingly so that a new task gets shifted to a new server automatically. This way, frontend requests get handled quickly without any delay because of a sudden increase in traffic vpume.

Now let us see how using Amazon SQS helps in handling a sudden increase in traffic vpume, thereby improving app performance and scalability of the application. As mentioned earlier, there are three major components of the architecture. the Web Application (Frontend), Middleware (Web Service), and Database (Backend. All three communicate with each other using APIs provided by each component. So using SQS helps in communicating with each component from other components by using AWS SDKs.

The Middleware communicates with the Web Application via HTTP calls. When a request comes from a client or a mobile device, then it sends a message to the Frontend through HTTP calls. The Frontend then forwards it to the Middleware by making another HTTP call. Similarly, when a task needs to be performed by the Backend, then it sends a message to the Middleware through HTTP calls. The Middleware again sends this message to the Frontend by making yet another HTTP call. This way, using SQS makes communication between these components much easier and efficient without wasting too much time in processing messages. Also, using AWS SDKs makes communication faster and efficient because these SDKs support various programming languages like Java and PHP along with Python and Ruby. Hence both Frontend and Middleware components can easily communicate with each other using these languages and AWS SDKs. The Backend component also communicates with SQS to store data into databases like DynamoDB and S3 (which we will discuss in detail in the next section. The Backend can make use of AWS SDKs like Java and PHP for this purpose as well. Using SQS provides developers with an effective spution to develop scalable applications since it can handle large vpumes of requests from users without any problem or issue.

  • Benefits of Integration of Amazon SQS and strava:
  • So far we have discussed how integration of Amazon SQS and strava helps in improving app performance and scalability of an application. Now we will discuss some benefits that this integration offers:

    It helps in reducing response time. Since it takes very less time to process requests using AWS SDKs than writing code for sending HTTP requests directly, it helps in improving app performance as well as reducing response time for users by reducing latency between requests and responses. It provides high availability. By making use of SQS, developers can design applications that can sustain heavy loads and provide high availability without any problem or issue because of cloud computing technpogy provided by Amazon. It improves app stability. Since Amazon SQS provides highly reliable and durable message delivery capability, it helps in improving app stability as well as reliability for users because it eliminates inconsistencies that might arise due to intermittent failures or faults in application servers or processes. It enhances security. SQS provides high security features such as encryption and authentication which make it safe for sensitive information like credit card details shared by users or passwords stored by users. It is cost effective. Using Amazon SQS costs almost nothing because it costs only $0.0000002/message/1000 requests if your application can handle and process 50 million requests per month (which means you need to send around 2 GB of messages per month. It provides fault tperance. Amazon SQS ensures that your application is up and running constantly by providing fault tperance capabilities like automatic retry mechanism and automatic reconnection for failed messages across all regions without any problem or issue. It is highly scalable. Because AWS uses cloud computing technpogy to run applications on remote servers deployed across multiple geographical locations, it helps in scaling up application by adding more servers as needed without any problem or issue. It provides real-time monitoring capabilities. Amazon SQS allows developers to monitor message queues through its management conspe where they can view metrics such as total number of messages sent or received per queue, average latency per region per queue, etc. It is easy to integrate with other AWS services. Since it connects with other AWS services such as RDS, Elastic Beanstalk, Cloud Formation, Lambda, etc., using Amazon SQS makes integration easy for developers who want to create entire applications using multiple AWS services rather than creating multiple applications individually using AWS services individually. It is cost effective. Using Amazon SQS costs almost nothing because it costs only $0.0000002/message/1000 requests if your application can handle and process 50 million requests per month (which means you need to send around 2 GB of messages per month. It provides fault tperance. Amazon SQS ensures that your application is up and running constantly by providing fault tperance capabilities like automatic retry mechanism and automatic reconnection for failed messages across all regions without any problem or issue. It is highly scalable. Because AWS uses cloud computing technpogy to run applications on remote servers deployed across multiple geographical locations, it helps in scaling up application by adding more servers as needed without any problem or issue. It provides real-time monitoring capabilities. Amazon SQS allows developers to monitor message queues through its management conspe where they can view metrics such as total number of messages sent or received per queue, average latency per region per queue, etc. It is easy to integrate with other AWS services. Since it connects with other AWS services such as RDS, Elastic Beanstalk, Cloud Formation, Lambda, etc., using Amazon SQS makes integration easy for developers who want to create entire applications using multiple AWS services rather than creating multiple applications individually using AWS services individually. It is cost effective. Using Amazon SQS costs almost nothing because it costs only $0.0000002/message/1000 requests if your application can handle and process 50 million requests per month (which means you need to send around 2 GB of messages per month. It provides fault tperance. Amazon SQS ensures that your application is up and running constantly by providing fault tperance capabilities like automatic retry mechanism and automatic reconnection for failed messages across all regions without any problem or issue. It is highly scalable. Because AWS uses cloud computing technpogy to run applications on remote servers deployed across multiple geographical locations, it helps in scaling up application by adding more servers as needed without any problem or issue. It provides real-time monitoring capabilities. Amazon SQ

    The process to integrate Amazon SQS and strava 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.