INDUSTRIAL Use case of AWS SQS
Amazon Simple Queue Service…
Amazon Web services hold many services in its package. These services are widely used around the globe to lessen the amount of burden caused due to managing them. One such managed service is SQS, lets get a know-how of the benefits it has to render us.
What is SQS service?
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 you decouple application components so that they run and fail independently, increasing the overall fault tolerance of the system.
Amazon SQS is a tool in the Message Queue category of a tech stack.
Amazon Simple Queue Service supports tasks that process asynchronously. Instead of one application having to invoke another application directly, the service enables an application to submit a message to a queue, which another application can then pick up at a later time.
In simple words, SQS can be defined as a service where one service sends messages in a queue and another service receives those messages. It can be used for a whole range of purposes.
SQS is used by a developer to reduce the complexity of managing and operating a service. Using this we can store, send, receive and manage messages between two services Instead of sending messages directly we can send through the intermediate queue.
Queues can be used to handle malfunctions in the scalability of services. when a service depends on another service that can not scale to the same level. Having a queue between A and B is useful in such situations because the queue can handle peak demand from A, and send messages at a slower rate with which B can cope. Where A will send a message directly to B this may cause an issue if B System gets failure, corrupt, or lost data during loading data to solve this we are gone using SQS Service where this acts as Intermediator which stores data and sends to B so even B gets failure until that system set up this will be stored in SQS than sent to B.
There are two Queues in SQS Standard and FIFO SQS
Standard vs FIFO SQS.
Message Queue Life Cycle
Amazon SQS automatically deletes messages that have been in a queue for more than the maximum message retention period. The default message retention period is 4 days. However, you can set the message retention period to a value from 60 seconds to 1,209,600 seconds (14 days) using the SetQueueAttributes action.
Companies Using SQS
Lots of companies reportedly use Amazon SQS in their tech stacks, including Pinterest, Amazon, BMW, NASA, EMS Driving Fuel IQ, Capital One, Redbus, Lyft, and many more.
I mentioned some companies case study below,
Recently Started Integrating SQS in their companies
By implementing a serverless strategy on AWS, KreditBee has increased its monthly loan disbursement by 25 times over a two-year period.
Expedia Global Payments migrated a legacy system from Microsoft SQL Server to Aurora PostgreSQL, cost-effectively scaling to meet traffic and delivering near-real-time data to its users and internal teams.
Click here to see more companies success stories by using SQS.
Top Companies Using SQS and their success stories
NASA Using SQS
NASA Established in 1958, the National Aeronautics and Space Administration (NASA) has been working around the world — and off of it — for almost 60 years, trying to answer some basic questions: What’s out there in space? How do we get there? What will we find? What can we learn there, or learn just by trying to get there, that will make life better here on Earth?
The NASA Image and Video Library provides easy access to more than 140,000 still images, audio recordings, and videos — documenting NASA’s more than half a century of achievements in exploring the vast unknown. The architecture includes Amazon SQS to decouple incoming jobs from pipeline processes and Amazon Simple Notification Service to trigger the processing pipeline when new content is updated.
The NASA Image and Video Library is a cloud-native solution, with the front-end web app separated from the backend API. It runs as immutable infrastructure in a fully automated environment, with all infrastructure defined in code to support continuous integration and continuous deployment (CI/CD).
In building the solution, ManTech International took advantage of the following AWS services:
• Amazon Elastic Compute Cloud (Amazon EC2), which provides secure, resizable compute capacity in the cloud. This enables NASA to scale up under load and scale down during periods of inactivity to save money, and pay for only what it uses.
- Elastic Load Balancing (ELB), which is used to distribute incoming traffic across multiple Amazon EC2 instances, as required to achieve redundancy and fault-tolerance.
- • Amazon Simple Storage Service (Amazon S3), which supports object storage for incoming (uploaded) media, metadata, and published assets.
- • Amazon Simple Queue Service (Amazon SQS), which is used to decouple incoming jobs from pipeline processes.
- • Amazon Relational Database Service (Amazon RDS), which is used for automatic synchronization and failover.
- • Amazon DynamoDB, a fast and flexible NoSQL database service, which is used to track incoming jobs, published assets, and users.
- • Amazon Elastic Transcoder, which is used to transcode audio and video to various resolutions.
- • Amazon CloudSearch, which is used to support searching by free text or fields.
- • Amazon Simple Notification Service (Amazon SNS), which is used to trigger the processing pipeline when new content is uploaded.
- • AWS CloudFormation, which enables automated creation, updating, and destruction of AWS resources. ManTech International also used the Troposphere library, which enables the creation of objects via AWS CloudFormation using Python instead of hand-coded JSON — each object representing one AWS resource such as an instance, an Elastic IP (EIP) address, or a security group.
- • Amazon CloudWatch, which provides a monitoring service for AWS cloud resources and the applications running on AWS.
How RedBus used SQS as a service from AWS for expanding their business :
The 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 has more than 1750 bus operators using the software to manage their operations.
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.
AWS the company with its many magnificent characteristics, 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. SQS helps to provide more security by securing the sensitive data of users of redBus. In addition, the increasing amount of users of redBus are benefitted from the reduction in latency provided by SQS.
Companies Use SQS
680 companies reportedly use Amazon SQS in their tech stacks, including
Click here to see more companies success stories by using SQS
Benefits and features of SQS Service
Security: You control who can send messages to and receive messages from an Amazon SQS queue. Protection in transit and at rest. Transmit sensitive data in encrypted queues. Send messages in a Virtual Private Cloud.
Server-side encryption (SSE): It lets you transmit sensitive data by protecting the contents of messages in queues using keys managed in AWS Key Management Service (AWS KMS).
Availability: Amazon SQS uses redundant infrastructure to provide highly-concurrent access to messages and high availability for producing and consuming messages.
Scalability: Amazon SQS can process each buffered request independently, scaling transparently to handle any load increases or spikes without any provisioning instructions.
Reliability: Amazon SQS locks your messages during processing so that multiple producers can send and multiple consumers can receive messages at the same time.
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