Amazon SQS Consulting & Support

FIFO queues guarantee exactly-once processing and ordered delivery within a message group, but are limited to 3,000 messages/second (with batching). Standard queues offer effectively unlimited throughput but with at-least-once delivery and no ordering guarantees. The right choice depends on whether your consumers are idempotent and whether ordering matters.

We configure dead-letter queues with appropriate maxReceiveCount thresholds, set up CloudWatch alarms on DLQ depth, and implement redrive strategies for manual or automated reprocessing. We also implement partial batch responses for Lambda consumers so individual message failures don't block successful messages in the same batch.

Yes. We map RabbitMQ exchange types (direct, fanout, topic) to SQS + SNS patterns, translate AMQP consumer behavior to SQS long polling, and help re-architect queue consumers to be idempotent (required for SQS at-least-once delivery).

Yes. We analyze your SQS API call patterns — polling frequency, batch sizes, visibility timeout renewals — and implement changes that typically reduce SQS costs by 40–70% while improving throughput.

Standard queues offer maximum throughput with at-least-once delivery and best-effort ordering. FIFO queues guarantee exactly-once processing and strict message ordering, with up to 3,000 messages per second with batching. We help you choose based on your ordering, deduplication, and throughput requirements.

Yes. Our AWS messaging support SLA is 15 minutes for emergency incidents. We cover SQS queue configuration, Lambda trigger failures, dead-letter queue analysis, throughput issues, and IAM permission problems.

We design SQS deployments with VPC endpoint isolation, SSE-KMS encryption with customer-managed keys, least-privilege IAM policies, and resource-based queue policies aligned with your security posture and compliance requirements.

Yes. We design and implement event-driven architectures connecting SQS with Lambda (including batch size and concurrency tuning), EventBridge rules, Step Functions workflows, and SNS fan-out patterns for multi-consumer messaging.