Case Study and Industries Use-cases of Amazon SQS!
Hello Folks! Welcome back to my next Blog . In this Blog we’re going to discuss about the SQS Service of AWS with its use cases. So,guys let’s get going…
What is Amazon SQS?
Amazon Simple Queue Service (SQS) is a managed message queue service offered by Amazon Web Services (AWS). It provides an HTTP API over which applications can submit items into and read items out of a queue. The queue itself is fully managed by AWS, which makes SQS an easy solution for passing messages between different parts of software systems that run in the cloud.
How does SQS work?
SQS provides an API endpoint to submit messages and another endpoint to read messages from a queue. Each message can only be retrieved once, and you can have many clients submitting messages to and reading messages from a queue at the same time.
The messages that SQS handles can be unformatted strings, XML or JSON. Because SQS guarantees “exactly once” delivery, and because you can concurrently submit messages to and read messages from a given queue, SQS is a good option for integrating multiple independent systems.
You might well be asking: why use SQS if you can have an internal HTTP API for each service? While HTTP APIs are an accessible way to expose software systems to external users, it’s not the most efficient mechanism when it comes to integrating purely internal systems. A messaging queue is more lightweight. In particular, SQS also handles things like automated retries, preserving queue state across multiple availability zones in AWS, and keeping track of expiration timeouts on all messages.
How does SQS integrate with other AWS services?
Most interesting for Serverless developers is SQS‘s integration with Amazon Lambda: SQS can act as an AWS Lambda event source. When configured, every SQS message triggers a Lambda function run that processes a batch of SQS messages.
Another useful integration is with SNS. SQS also provides standard integrations for monitoring and debugging SQS queues using Amazon CloudWatch and AWS X-Ray.
Serverless developers can manually integrate an SQS queue with any other AWS service (or a third-party service) by writing code that uses the AWS SDK to submit messages to SQS and read them from there, or by using the SQS API directly.
Benefits of using SQS:
For Serverless developers, using SQS generally provides a wealth of benefits, which are given below:
- Scalability: Your SQS queues scale to the volume of messages you’re writing and reading. You don’t need to scale the queues; all the scaling and performance-at-scale aspects are taken care of by AWS.
2. Pay for what you use: When using SQS, you only get charged for the messages you read and write (see the details in the Pricing section). There aren’t any recurring or base fees.
3. Ease of setup :Since SQS is a managed service, so you don’t need to set up any infrastructure to start using SQS. You can simply use the API to read and write messages, or use the SQS <-> Lambda integration.
4. Options for Standard and FIFO queues: When creating an SQS queue, you can choose between a standard queue and a FIFO queue out of the box. Both of these queue types can be useful for different purposes.
5. Automatic deduplication for FIFO queues: Deduplication is important when using queues, and for FIFO queues SQS will do the work to remove any duplicate messages for you. This makes FIFO queues on SQS suitable for tasks where it’s critical to have each task done exactly once.
6. A separate queue for unprocessed messages: This feature of SQS is useful for debugging. All messages that couldn’t be processed are sent into a “dead-letter” queue where you can inspect them. This queue has all the usual integrations enabled, so you can subscribe to it using an AWS Lambda event, for example, to send a notification when an item can’t be processed.
Key features of SQS:
SQS is a cloud service and can be used by any type of software, application, or other service. SQS works at its own independent service in the cloud. A software connects with SQS using a connection by passing the credentials and queue names. SQL also allows applications to create and delete custom queues.
- At-Least-Once Delivery :A message in the queue is delivered at least once. Message delivery is guaranteed, no message is lost.[Text Wrapping Break]
- Multiple components can work on a single queue: SQS uses a lock mechanism, if one component is using a message, it is made hidden to other components. Upon successful processing, message is deleted from the queue. If the message processing fails, it stays in the queue and is made visible to all the components. This feature is called Visibility Timeout.
- There are two types of queues: Standard and FIFO. In standard queue the messages are picked up randomly. It might not be in the order it entered the queue while FIFO queue uses first-in-first-out, it ensures the order.
- For the messages that cannot be processed are kept in dead-letter queue.
- Billing is done based on the number of requests to the queue. SQS is a good service to be used for applications to increase efficiency, reliability and performance.
Use cases of SQS :
The most common ways to use SQS, and of course other messaging systems, in cloud applications are:
- Decoupling microservices: In a microservice architecture, messages represent one of the easiest ways to set up communication between different parts of the system. If your microservices run in AWS, and especially if those are Serverless services, SQS is a great choice for that aspect of the communication.
2. Sending tasks between different parts of your system: You don’t have to be running a microservices-oriented application to take advantage of SQS. You can also use it in any kind of application that needs to communicate tasks to other systems.
3. Distributing workloads from a central node to worker nodes: You can frequently find messaging systems in the flows of distributed large workloads like map-reduce operations. For these kinds of operations, it’s essential to be able to maintain a queue of all the tasks that need to be processed, efficiently distribute the tasks between the machines or functions doing the work, and guarantee that every part of the work is only done once.
4. Scheduling batch jobs: SQS is a great option for scheduling batch jobs for two reasons. First, it maintains a durable queue of all the scheduled jobs, which means you don’t need to keep track of the job status — you can rely on SQS to pass the jobs through and to handle any retries, should an execution fail and your batch system returns the message to the queue. Second, it integrates with AWS Lambda; if you’re using AWS Lambda to process the batch jobs, SQS automatically launches your Lambda functions once the data is available for them to process.
Case study of Amazon SQS Service :
NASA :
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.
2. Capital One:
Capital One is modernizing their retail message queuing by migrating from self-managed message-oriented middleware systems to Amazon SQS. Capital One is using SQS to migrate several core banking applications to the cloud to ensure high availability and cost efficiency while simplifying administrative complexity and overhead.
3. BMW:
The BMW Group is using AWS for its connected car application that collects sensor data from BMW 7 Series cars to give drivers dynamically updated map information. BMW built its new car-as-a-sensor (CARASSO) service in only six months leveraging Amazon SQS, Amazon S3, Amazon DynamoDB, Amazon RDS, and AWS Elastic Beanstalk.
4. redBus:
redBus is expanding their AWS solution to include Amazon SQS and SNS for monitoring, alerts, and intercommunication. “Amazon SQS is an especially good solution for enabling messaging between external applications and our applications.” — Charan Padmaraju, redBus CTO
5. EMS:
Petroleum retailers in Australia are improving the performance and safety of their service stations with an AWS IoT–enabled solution called Fuelsuite from EMS. EMS specializes in solutions that provide petrol retailers with performance data gathered from sensors located around petrol stations. Fuelsuite uses AWS IoT Device Management to control the edge devices collecting petrol station data, processes the data with Amazon EC2, and schedules messages to and from the edge devices by using Amazon SQS.
So, that’s all!
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