Amazon SQS was the service launched by AWS. It grants users access to message queues. This queue stores messages as they wait to be processed. Amazon SQS enables web services to swiftly queue messages sent by one component for processing by another.
AWS SQS allows you to transmit, store, and receive messages without danger of losing them. These messages can store up to 256 KB of text data in JSON, XML, and other forms. Applications can retrieve all of these messages using the AWS SQS API. The SQS queue also overcomes any concerns that arise when the component sending messages performs much faster than the component that must process the messages. To master such AWS services, enrolling in AWS Training in Chennai can be highly beneficial.
Types of Queues in SQS
In Amazon SQS, there are two kinds of queues:
Standard Queue
- Default Amazon SQS queue type
- Messages can be sent in a different order from how they were sent, and there are infinite transactions per second.
- At least one message delivery occurs; Multiple copies are available for delivery.
First-in-first-out (FIFO) Queue
- Enhances the regular queue
- 300 messages are transmitted every second and received in the same sequence.
- A message is only sent once and remains available until the recipient processes it; duplicates are prohibited from entering the queue.
Amazon SQS Functionality
The following features are included with Amazon SQS:
- In any given region, users can build an infinite number of queues with infinite messages.
- A message payload in SQS can have a maximum text size of 256KB. Each 64KB message is handled as a single request.
- A user’s batch of messages can include up to 10 (256KB) for sending, receiving, or deleting. Using batches could be a cost-effective alternative for users because they are equal in cost to a single message.
- Users can eliminate pointless polling, which will minimize expenses. Long poll requests can take up to 20 seconds to receive the next message while the queue is empty. Long poll requests have the same fee as standard requests.
- Queued messages are stored for a maximum of 14 days.
- Received messages are locked while they are being processed. Thus, the same message cannot be processed simultaneously by various systems. The lock expires, and the messages become available again in the event that the message processing fails.
- Users can safely share queues anonymously or with particular AWS accounts.
Amazon SQS Visibility Timeout
The amount of time a message stays invisible in the SQS queue after a user picks it up is known as the Amazon SQS Visibility Timeout. If the job is finished processing before the visibility timeout, the message will be removed from the queue. If the task is not completed by then, the message is seen again after being processed by a different reader. Sometimes this leads to the delivery of the same message twice.
The visibility timeout is set by default to 30 seconds. If the task requires more time, it might be raised to twelve hours, which is the maximum timeout.
Benefits of Amazon SQS
Four primary advantages of Amazon SQS are as follows:
Eliminate Administrative Overhead: With AWS SQS, there’s no need to install, assemble, or buy messaging packs. Neither the construction nor upkeep of infrastructure is required. Because Amazon SQS queues are designed to expand appropriately, a significant amount of administrative labor is eliminated.
Reliably Deliver Messages: AWS SQS can reliably deliver any volume of data without any data loss. By separating application components, it contributes to a process’s increased fault tolerance. Every communication is placed out on hold in several accessible zones in multiple copies, guaranteeing that the messages will be accessible whenever needed.
Keep Sensitive Information Secure: Sensitive information can be transferred between apps using Amazon SQS by using Serverside Secret Writing, or SSE. Additionally, it has connectivity with the AWS Key Management Service (KMS), allowing us to control keys that safeguard additional AWS resources.
Scale Elastically and Cost-effectively: Since Amazon SQS is a component of the AWS Cloud, it has the potential to utilize its scalability capability as needed. With applications, it scales elastically.
Limitations
While Amazon SQS has numerous advantages, it also has certain drawbacks:
Inflight Messages: Upon receiving, customers never delete communications that are considered inflight. A queue’s maximum in-flight message count is 120,000; if the queue is FIFO, this cap drops to 20,000. The OverLimit error appears when a queue has too many in-flight messages.
Message Size: Since the maximum message size is only 256 KB a relatively small amount one must exercise caution to avoid going over. The system automatically identifies when a message is getting close to its upper limit, thus it is always necessary to leave at least 10% of extra space on the message size.
FIFO Queue Throughput: As previously mentioned, FIFO queues have a maximum transaction limit of 300 messages per second. To surpass this restriction, one must use numerous queues or request an increase from AWS Support.
Companies Using Amazon SQS
Numerous companies utilize Amazon SQS. These are just a handful of them:
NASA
NASA’s image and videos collection includes over 140,000 movies, still images, and audio recordings. Amazon SQS is a part of its architecture to assist in separating incoming jobs from all pipeline operations. Additionally, it has AWS SNS, which starts the processing pipeline whenever fresh content is uploaded.
Capital One
To bring their retail message queuing up to date, Capital One decided to switch to Amazon SQS. Important bank apps are being moved to the cloud via SQS, which will guarantee both cost-effectiveness and excellent availability.
BMW
BMW used a variety of AWS services, including Amazon SNS, to construct its car-as-a-sensor, or CARASSO, service in less than six months.
redBus
RedBus has been able to use AWS SQS to allow messaging between its internal and external apps. It is also useful for alerting and monitoring purposes.
EMS Driving Fuel IQ
Fuelsite by EMS, an AWS IoT-enabled solution, assists Australian gas retailers by enhancing performance and safety. Fuelsite collects data from service station sensors to assist retailers. The edge devices are managed using AWS IoT Device Management, and Amazon SQS makes it easier to schedule communications to and from them.
Amazon SQS enables businesses to transmit an infinite number of messages globally, with a maximum size of 256 KB. Messages can be sent and received simultaneously. The keys produced by AWS KMS can be used to secure these messages. Enrolling in AWS training in Bangalore is highly recommended to gain a deeper understanding of such AWS services.
MD: Learn about Amazon Simple Queue Service (SQS), a fully managed message queuing service for decoupling and scaling microservices, distributed systems, and serverless apps.
