AWS SQS and it’s use cases…
Hey guys, I am back with another interesting topic for you guys and this time it’s none other than AWS SQS.
But What exactly is AWS SQS ?
AWS SQS (Amazon Simple Queue Service) is a service which helps to align the message. Moreover, it also helps to enable the user to separate and scale microservices, distributed system, and serverless applications. Amazon SQS makes it easy to manage the operating message-oriented middleware and enhances the developers to focus on their work. Amazon Simple Queue Service works at any volume without losing the message or requiring other services to be available. It helps to send, store, and receive messages between software components. You can start it ( AWS SQS) with the help of the tools such as Amazon Console, command line interface(CLI), and SDK.
Its Types
In Amazon SQS there are two types of queues which are Standard Queue and AWS SQS FIFO. Standard queue offers at least one delivery and maximum throughput. The FIFO queues guarantee that the processed message takes place only once in the first in first out basis.
Benefits
Eliminates administrative overhead
AWS manages all in progress operations and underlying infrastructure required to produce an extremely accessible and scalable message queuing service. With AWS SQS, there’s no direct value, no ought to acquire, install, and assemble messaging package, and no long build-out and maintenance of supporting infrastructure. Amazon SQS queues are dynamically created and scale automatically, therefore, you’ll be able to build and grow applications quickly and with efficiency.
Reliably deliver messages
Use AWS SQS to transmit any volume of data, at any level of output, while not losing messages or requiring alternative services to be accessible. Amazon SQS helps you to decouple application parts in order that they run and fail severally, increasing the fault tolerance of the system. Multiple copies of each message area unit hold on redundantly across multiple accessible zones in order that they’re out there whenever required.
Keep sensitive data secure
You can use Amazon SQS to exchange sensitive data between applications using Server-Side Encryption (SSE) to inscribe every message body. The AWS SQS compass point integration with AWS Key Management Service (KMS) permits you to centrally manage the keys that defend SQS messages together with keys that defend your alternative AWS resources. AWS KMS logs each use of your encryption keys to AWS CloudTrail to assist meet your restrictive and compliance wants.
Scale’s elastically and cost-effectively
AWS SQS leverages the AWS cloud to dynamically scale supported demand. Amazon SQS scales elastically together with your application. Therefore, you don’t have to worry regarding capability designing and pre-provisioning. There’s no limit to the number of messages per queue, and commonplace queues offer nearly unlimited output. Prices area unit supported usage that provides important value saving versus the “always-on” model of self-managed electronic messaging middleware.
Industry Use cases:
RedBus
An Indian Travel Agency which helps in booking buses PAN India. Helped a lot of travellers by making booking a bus ticket as easy as ordering food online / via App.
The Challenge
The company previously ran its operations from a traditional data center by purchasing and renting its systems and infrastructure. In addition to the expense, several logistical problems evolved from this arrangement. The biggest problem was that the infrastructure could not effectively handle processing fluctuations, which had a negative impact on productivity. Additionally, the procurement of servers or upgrading the server configuration was an extremely time-consuming endeavor. Over time, redBus realized that a better solution was imperative — a solution that offered scalability to handle the company’s processing fluctuations. redBus looked to Amazon Web Services (AWS) for a solution.
And now After using AWS
Since migrating to AWS, redBus has seen measurable improvements in the bottom line. Padmaraju says, “By scaling up and down dynamically based on the load, we maintain performance as well as minimize cost. With the time savings that the IT and development staffs obtain from the AWS solution, AWS gives us an overall cost benefit of about 30–40%.” He adds, “By hosting at [the AWS Asia Pacific (Singapore) region], redBus.in gained significantly in terms of website performance by way of reduced latency (about 4x). This is a great advantage when the customers are from India.”
Of the many excellent characteristics of AWS, perhaps the most significant to redBus is the ability to “instantly replicate the whole setup on demand for testing by creating and destroying instances on demand for experimentation, thereby reducing the time to market.” Less time to market translates to increased profitability and success.
The travel agency anticipates expanding the AWS solution to include Amazon Simple Notification Service (Amazon SNS) and Amazon Simple Queue Service (Amazon SQS) for monitoring, alerts, and intercommunication. “Amazon SQS is an especially good solution for enabling messaging between external applications and our applications,” says Padmaraju.
Since joining forces with AWS, redBus has gained the freedom to experiment on new solutions and applications at minimal cost, increased the efficiency of its operations, and improved its profitability.
BMW
A Brand that needs no introduction to anyone who lives in this world and who knows what a car is , would be familiar with this brand. A household Name , Well also a part of one of many successful stories of customers of AWS.
The BMW Group is using AWS for its new connected-car application that collects sensor data from BMW 7 Series cars to give drivers dynamically updated map information. BMW Group is one of the leading manufacturers of premium cars and mobility services in the world, with brands such as Rolls Royce, BMW, and Mini. BMW built its new car-as-a-sensor (CARASSO) service in only six months leveraging Amazon Simple Storage Service (Amazon S3), Amazon Simple Queue Service (Amazon SQS), Amazon DynamoDB, Amazon Relational Database Service (Amazon RDS), and AWS Elastic Beanstalk. By running on AWS, CARASSO can adapt to rapidly changing load requirements that can scale up and down by two orders of magnitude within 24 hours. By 2018 CARASSO is expected to process data collected by a fleet of 100,000 vehicles traveling more than eight billion kilometers.
I could still go on and on with this list we have NASA, Capital One, etc. AWS has a never ending list of companies which are getting benefited from it .
To Wrap Up…
The AWS SQS helps to send the unlimited number of messages and in any region. Message payloads consist of 256KB of text which can be in any format. If the text is of the size larger than this extended client library for Java Programming can use. Send and read messages can be done simultaneously. Amazon SQS queries can share anonymously or with some specific AWS accounts. The sharing can restrict for some time and by the IP address. The contents of the message of AWS SQS can secure using keys managed by the AWS Key Management Service. This helps a lot for the user to use SQS in an efficient manner.
So as you can see how using AWS SQS , these companies have prospered. You can join them to and become a part of the AWS successful stories like them.
Well that was all from my side. Hope you found it interesting. You can also visit their site and know more about Kubernetes and about many other companies who benefited from them. I will leave the link below:
Till then keep learning 😊
Arjun Nigam
Signing Off!!!
