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.
uProc is a database management system that gives users the tools and capabilities they need to improve the fields in their databases and get more out of them. It helps businesses in the validation of essential business data such as emails, phone numbers, and more, as well as the creation of new database categories for better data segmentation.
uProc IntegrationsAmazon SQS + Google Sheets
Create Spreadsheet Row to Google Sheets from New Queue in Amazon SQS Read More...It's easy to connect Amazon SQS + uProc without coding knowledge. Start creating your own business flow.
(30 seconds)
(10 seconds)
(30 seconds)
(10 seconds)
(2 minutes)
Amazon Simple Queue Service or Amazon SQS is a web service with the help of which you can send messages between applications or components in a distributed system. It store the messages and makes them available for the intended recipients. These are called message queues. The queue scales to handle millions of messages per second with a very low latency. Messages in a queue can be up to 256 KB in size, and can be as many as 250 KB. The maximum number of messages that can be stored in a queue is 1000000. Amazon SQS supports two types of clients an asynchronous (one-way. and synchronous (request-response.
ubProc is a Java library that aims at making it easy to have processes (or threads. running asynchronously on a JVM. uProc uses Java NIO’s ability to create channels directly from Java code without the need to use native libraries to support channels. uProc adds primitives on top of NIO channels and thread pops to let you easily create processes, send messages between them and monitor the health of your processes. This is done by providing an easy-to-use API over NIO 2’s channels, thread pops and selectors.
Amazon’s SQS has been integrated with uProc for writing scalable applications. uProc is a Java library for building high-performance, asynchronous, event-driven applications. It provides asynchronous message-passing concurrency model that can be used in applications based on Java NIO, but without blocking threads or needing explicit thread management. It uses the Executor framework, which provides the fplowing features:
Thread poping and scheduling.
Support for asynchronous execution.
Support for synchronous execution using Future interface.
It also provides the fplowing main abstractions:
Process – this class represents an asynchronous computation that will run until completion. It corresponds to an OS process or thread.
– this class represents an asynchronous computation that will run until completion. It corresponds to an OS process or thread. Message – this class represents an object that can be sent over a channel and processed by another process. A message arrives in one process and is then passed to another process via a channel. Messages are processed only by the process in which they arrive.
– this class represents an object that can be sent over a channel and processed by another process. A message arrives in one process and is then passed to another process via a channel. Messages are processed only by the process in which they arrive. Channel – this class represents a communication link between two processes or threads. Here, we use channels to send messages between processes. Channels also allow processes to monitor other processes for failures and join them if necessary.
This integration helps develop large applications having multiple nodes by scaling them horizontally using new nodes as more processing power is needed. For example, if you are building a mobile application that needs to run huge calculations, you can make use of Amazon’s SQS service and integrate it with uProc library to make your application scalable horizontally with multiple nodes in case if huge calculations are needed.
This integration provides developers with the fplowing benefits:
The process to integrate Amazon SQS and uProc 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.