Amazon Simple Queue Service (SQS)
Hey Guys,
I am back with another blog, In this blog I am going to discuss about an interesting and useful service of AWS cloud called AWS SQS ( Simple Queue Service ).
What is AWS SQS ?
Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you 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, you can send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be available. Get started with SQS in minutes using the AWS console, Command Line Interface or SDK of your choice, and three simple commands.
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 AWS SQS
Eliminate administrative overhead
AWS manages all ongoing operations and underlying infrastructure needed to provide a highly available and scalable message queuing service. With SQS, there is no upfront cost, no need to acquire, install, and configure messaging software, and no time-consuming build-out and maintenance of supporting infrastructure. SQS queues are dynamically created and scale automatically so you can build and grow applications quickly and efficiently.
Reliably deliver messages
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. Multiple copies of every message are stored redundantly across multiple availability zones so that they are available whenever needed.
Keep sensitive data secure
You can use Amazon SQS to exchange sensitive data between applications using server-side encryption (SSE) to encrypt each message body. Amazon SQS SSE integration with AWS Key Management Service (KMS) allows you to centrally manage the keys that protect SQS messages along with keys that protect your other AWS resources. AWS KMS logs every use of your encryption keys to AWS CloudTrail to help meet your regulatory and compliance needs.
Scale elastically and cost-effectively
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. Costs are based on usage which provides significant cost saving versus the “always-on” model of self-managed messaging middleware.
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.
Case Study
Here is the case study of NASA by aws.
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.
You can Read full article below
You can read more success story at AWS SQS page.
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Thank You
Signing off 🙌
