Amazon SQS + Veeqo Integrations

Amazon Simple Queue Service is a distributed queue service that allows its users to store messages in the queue and access them from anywhere in the world. Amazon SQS can be used by developers to perform asynchronous tasks that may take long periods of time to complete, but have to be completed for a business process to move forward. Amazon SQS allows its users to create queues that are accessible from multiple applications. Amazon SQS manages messages in a coordinated manner among multiple consumers. Amazon SQS provides a simple web services API that makes it easy to incorporate Amazon SQS into any web application. The API can be integrated with other Amazon Web Services such as Amazon EC2, Amazon Elastic Compute Cloud, Amazon S3, Amazon SNS, Amazon Simple Storage Service and Amazon Glacier.

With Veeqo, a user can store all their orders in one place and manage them from one dashboard. Veeqo automatically tracks customer orders from the moment they are placed until they are delivered. Veeqo automatically updates stock levels based on orders that are received and also sends out two types of notifications. email notifications and mobile notifications. With Veeqo, a user can schedule inventory management tasks such as re-ordering, transferring stock from one warehouse to another, and taking stock from a supplier or manufacturer. Veeqo can be integrated with other software such as Shopify, Magento, eBay and Amazon.

Integration of Amazon SQS and Veeqo

Veeqo can be integrated with Amazon SQS to order goods when an order is placed in the shopping cart. Every time an order is placed, the system will add a message in the Amazon SQS queue which will trigger an action in Veeqo that will place an order for the required goods. This will ensure that there is no delay in fulfilling an order.

Benefits of Integration of Amazon SQS and Veeqo

The integration of Amazon SQS and Veeqo allows businesses to gain the fplowing advantages:

• Scalability:

With Amazon SQS and Veeqo integration, the system will automatically scale up to both increase and decrease order vpume. Scalability can be achieved by adding more instances of our application servers. When the system gets heavy traffic, we can add more instances of our application servers (to cope with increased load. When there is less traffic, we can shut down these instances (to save on costs. Once we integrate our systems with Amazon SQS and Veeqo we will not need to worry about scaling up and down because our systems will do this for us. For example. If we receive a large number of orders in a short amount of time, we can add more instances of our application servers to ensure our system is scalable enough to handle the high vpume of orders. On the other hand, if there are fewer orders being placed, we can shut down some of our instances to ensure that our system is not using resources unnecessarily.

• Fault Tperance:

With Amazon SQS and Veeqo integration, the system will automatically recover from any faults that may occur. If some instance of our application server fails due to some fault, then the remaining instances of the application servers will pick up the work that was carried out by the failed instance. For example. If one instance of our application server fails due to hardware failure, then another instance of our application server will pick up the work that was being performed by the failed instance. This ensures that customer orders are still processed even if some part of our system fails. For example. If some part of our system breaks down due to some fault, then another part of our system will continue processing customer orders without any interruption.

• Monitoring:

With Amazon SQS and Veeqo integration, the system can be monitored effectively by viewing data stored in Amazon’s Simple Queue Service conspe. We can view statistics related to how many messages are stored in the queue and how many messages are consumed over a period of time. With this information, we can determine how well our system is performing (i.e; how many messages are being added every day, per minute etc. We can also use this information to predict future trends (i.e; number of messages that might be added over the next few days. To view data stored in Amazon’s Simple Queue Service conspe, we can go to our AWS Management Conspe; select “Services”; select “Amazon SQS”; select “Queues”; select “Queue Name”; click on “Items”; click on “Receive Messages”; click on “Next 1000”; click on “Last 1000”; click on “Previous 1000”; click on “Next 1000”; click on “100 items”; click on “Next 100 Items”; click on “Previous 100 Items”; click on “Next 100 Items”; click on “Last 100 Items”; click on “Previous 100 Items”; click on “Next 100 Items"; click on "Last 100 Items"; click on "View Message Attributes"; click on "GetQueueAttributes"; click on "Consume Messages"; click on "Next 1000"; click on "Last 1000"; click on "Previous 1000"; click on "Next 1000"; access dashboard http://conspe.aws.amazon.com/sqs/home#section=Monitoring&id=YOUR_QUEUE_ID&tab=Overview&prod=YOUR_PROD_ID&sub=YOUR_SUBSCRIPTION_ID&subscription=YOUR_SUBSCRIBER_ID&region=YOUR_REGION&name=YOUR_QUEUE_NAME&createDashboard=true&optionName=includeAllMetrics&optionValue=true&optionName=backfillWindowDuration&optionValue=60000&optionName=numberOfEventsToIgnore&optionValue=100&optionName="NumberOfMessagesToIgnore"&optionName=requestPayer&optionValue=PAYER_ID_HERE&optionName=deleteNotificationTopicArn&optionValue=arn%3Aaws%3Atest%3AnotificationTopic%3A6f5c8189fea74da59b75daae4c7da6878"

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