Amazon SQS: Architecture, Implementation, and Best Practices | Uplatz

Amazon Simple Queue Service (SQS) is a foundational building block for decoupled, scalable, and reliable distributed systems on AWS. By enabling asynchronous communication between services, SQS helps teams build resilient microservices, event-driven workflows, and fault-tolerant applications. This video provides a practical, end-to-end guide to Amazon SQS architecture, implementation patterns, and production best practices.

This Uplatz Explainer breaks down how Amazon SQS works under the hood, covering core concepts such as queues, messages, producers, consumers, visibility timeout, long polling, message retention, and delivery guarantees. You’ll learn the differences between Standard queues and FIFO queues, and how to choose the right model based on ordering, throughput, and exactly-once processing requirements.

The video dives into implementation patterns, showing how SQS integrates with microservices, serverless architectures, and container-based systems. We explain common use cases such as background job processing, request buffering, fan-out architectures, and failure isolation—along with how SQS works with services like Lambda, ECS, and EC2.

A major focus of the session is best practices for production systems. You’ll gain insight into scaling consumers, handling retries and dead-letter queues (DLQs), ensuring idempotency, monitoring queue health, managing costs, and securing queues with IAM policies and encryption. We also discuss common pitfalls and how to design systems that remain reliable under high load and partial failures.

This video is ideal for backend developers, cloud engineers, solution architects, DevOps teams, and platform engineers who want to use Amazon SQS effectively to build scalable, resilient, and well-architected systems on AWS.

#Uplatz #AmazonSQS #AWS #CloudArchitecture #MessageQueues #DistributedSystems #EventDrivenArchitecture #Microservices #Serverless #BackendDevelopment #ScalableSystems

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