Task 22

Mohammed Abdul Basith
3 min readJan 12, 2022

Create an article on case study of AWS SQS.

Task Description📄
✍🏻 Research on usecases of AWS SQS and create a blog, Article for the same.

⚠️ NOTE:
1) It is a compulsory individual task.
2) If you have done while Contest Kindly Ignore.

What is Amazon SQS(Simple Queue Service)?

According to AWS’s official website Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables us to decouple and scale microservices, distributed systems, and serverless applications.SQS eliminates the complexity and overhead associated with managing and operating message-oriented middleware and empowers developers to focus on differentiating work. Using SQS, we can send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be available.

SQS offers two types of message queues. Standard queues offer maximum throughput, best-effort ordering, and at-least-once delivery. SQS FIFO queues are designed to guarantee that messages are processed exactly once, in the exact order that they are sent.

Benefits of Using AWS SQS

Using AWS SQS service comes with a few great benefits which I am going to list down here.

1) It eleminates the administrive overhead and manages all ongoing operations and underlying infrastructure needed to provide a highly available and scalable message queuing service2) It keeps senstive data secure and we can use Amazon SQS to exchange sensitive data between applications using server-side encryption (SSE) to encrypt each message body. 3) It reliably delivers the messages. Wecan use Amazon SQS to transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be available. SQS lets us decouple application components so that they run and fail independently, increasing the overall fault tolerance of the system4) Scale elastically and cost-effectively as Amazon SQS leverages the AWS cloud to dynamically scale based on demand. SQS scales elastically with your application so you don’t have to worry about capacity planning and pre-provisioning. There is no limit to the number of messages per queue, and standard queues provide nearly unlimited throughput

Companies using Amazon SQS

REDBUS

Redbus is an Indian travel agency that specializes in bus travel throughout India by selling bus tickets throughout the country. Tickets are purchased through the company’s Website or through the Web services of its agents and partners. The company also offers software, on a Software as a Service (SaaS) basis, which gives bus operators the option of handling their own ticketing and managing their own inventories. To date, the company says they have sold over 30 million bus tickets and have more than 1750 bus operators using the software to manage their operations.

Redbus uses Amazon SQS service along with other services like Amazon Elastic Compute Cloud (Amazon EC2), Elastic Load Balancing, Amazon Relational Database Service (Amazon RDS), Amazon Simple Storage Service (Amazon S3), Amazon Elastic Block Store (Amazon EBS), and Amazon CloudWatch. 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

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.

Thank you for reading!

#vimaldaga #righteducation #educationredefine
#rightmentor #worldrecordholder #linuxworld
#makingindiafutureready #righeducation #arthbylw
#aws #awssqs #amazonwebservice

--

--