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.
Shiprocket is a technologically advanced logistics platform that connects retailers, consumers, and supply chain partners to create great shipping experiences.
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Triggers when you add a new queue
Triggers when a new order is created.
Triggers when a new product is created.
Triggers when a new shipment is created.
Create a new JSON message using data from the source trigger
Create a new message.
Create a new queue
Creates a new product.
Cancel an order
Creates a custom order.
Create a return order
Update an existing order.
Amazon SQS (Simple Queue Service. is a message queueing service offered by Amazon Web Services. It gives reliable, highly scalable and fast message queuing for application components running on a distributed computing network. Whether it is the web server in a single data center or a web server cluster spanning multiple data centers, it allows application components to communicate with each other using messages instead of direct calls.
Shiprocket is a SaaS platform that enables you to manage your inventory, orders, shipments, and customers from your own website. ShipRocket comes with built-in order management features that are fully integrated with the major shipping carriers. Shiprocket’s powerful order management software is designed to save you time and money by providing visibility your inventory and simplifying your shipping process.
The integration of Amazon SQS and ShipRocket is accomplished by developing a custom module for Shiprocket. The module will allow users to create an order on Shiprocket or directly on their website. Once the order is complete, it will trigger an event which will be processed by the custom module. The custom module will then utilize Amazon SQS’s API to add the order to the queue. The queue will serve as a communication bridge between Shiprocket and third-party shipping companies such as FedEx, UPS, USPS, etc. After the order has been processed by the shipping carrier, Shiprocket will receive an update from the shipping company via another Amazon SQS API call and Shiprocket will then store the order details in its database.
Benefits of Integration:
It greatly simplifies the order processing process by removing most of the repetitive tasks required to track orders and provides end-to-end visibility into critical business processes such as fulfillment.
It allows you to track in real-time the status of your orders in progress, in transit or delivered.
It allows you to reduce operational costs since you do not need extra manpower to process orders manually.
Overall, it enhances customer satisfaction and increases sales by allowing your customers to track their orders online and by increasing your speed and accuracy when fulfilling orders.
Since Amazon SQS can be used concurrently by multiple applications within an AWS account without the need for throttling, it can handle large vpumes of messages quickly and efficiently. With this in mind, it is not surprising that Amazon SQS is being frequently used by many companies such as Hulu, Digg, Netflix, Quiznos, Microsoft, Best Buy, Lego, Salesforce.com, Myspace, Orbitz, Disney and many more companies. In addition to handling large vpumes of messages quickly and efficiently, Amazon SQS is also very reliable and durable due to its cluster architecture which ispates message queues from each other in different Availability Zones (AZ. Amazon SQS supports both request-response and publish-subscribe messaging models; however request-response model is commonly used by most companies because it simplifies processing logic.
There are four types of queues provided by Amazon SQS namely standard queues , FIFO queues , priority queues , and standard queues with timestamps . Standard queues offer first-in-first-out (FIFO. message delivery whereas FIFO queues provide first-in-first-out (FIFO. message delivery with optional strict guarantees. Both standard queues and FIFO queues provide unlimited message storage capacity at no charge whereas standard queues with timestamps charges you a small fee for storing messages with timestamps. Priority queues guarantee that messages are delivered within a specified period of time while standard queues with timestamps charges you a small fee for storing messages with timestamps. Finally, standard queues with timestamps charges you a small fee for storing messages with timestamps while standard queues and FIFO queues provide unlimited message storage capacity at no charge. By default, standard queues offer first-in-first-out (FIFO. message delivery whereas FIFO queues provide first-in-first-out (FIFO. message delivery with optional strict guarantees. To provide first in first out (FIFO. guarantees, use FIFO queues instead of standard queues. However if you want to preserve the order of messages during transportation across regions or availability zones, then don’t use new requests in an existing FIFO queue. Instead use standard queues or new FIFO queues. Alternatively, if you want to preserve the order of messages during transportation across regions or availability zones over a period of time that is longer than the maximum durability period for FIFO queues in your region or availability zone (for example 30 days), then use standard queue with timestamp messages instead of new requests in an existing FIFO queue. Another advantage of using standard queue with timestamp messages is that it provides you with the ability to delete individual messages using the DeleteMessage API operation. This can be useful if you want to delete pd or unnecessary messages from an FIFO queue that is no longer in use.
When we send messages in normal cases, we do not care how long we need to wait for a response. We usually set a timeout so that we won’t wait forever for a response but there are some cases where we need replies faster than we specified in our timeout value. For example, if a user sends us a request requesting information about an item he wants to buy but he needs an answer within ten seconds if he wants to buy the item before someone else does so. In cases like these where we need responses faster than what we specified in our timeout value, we can use asynchronous messaging model instead of normal request response model so that we can get responses faster than what we specified in our timeout value or basically get responses immediately when they are available instead of waiting for them to become available according to our specified timeout value.
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