Amazon SQS | Standard Queue Overview vs FIFO Queue.

 

Amazon SQS – Standard Queue Overview

The Standard Queue is the default queue type in Amazon Simple Queue Service (SQS).

It's designed for high throughput, best-effort ordering, and at-least-once delivery.

This type of queue is ideal when occasional duplicate messages and out-of-order message processing are acceptable.

Amazon SQS -  Standard Queue is fully a managed service, that is used to decouple applications. 

Amazon SQS -  Standard Queue has unlimited throughput, with unlimited number of messages can be sent and the queue can have unlimited messages too.

Key Features of SQS Standard Queue

Feature	Description
Delivery Model	At-least-once delivery – a message may be delivered more than once(can have duplicate messages).
Message Ordering	Best-effort ordering – messages may not be received in the exact order they were sent.
Throughput	Unlimited transactions per second (TPS).
Visibility Timeout	Temporarily hides messages after a consumer retrieves them.
Message Size	Up to 256 KB of text data (can be extended via S3 for larger payloads).
Retention	Messages can be retained from 1 minute to 14 days (default: 4 days).
Security	Supports encryption (SSE via AWS KMS) and access control via IAM policies.
Retries & DLQ	Supports retry policies and dead-letter queues (DLQs) for failed messages.
Long Polling	Reduces empty responses and cost by waiting for messages up to 20 seconds.

 How Standard Queues Work

1. Producer sends a message to the Standard Queue.
2. The message is stored redundantly across multiple AWS servers.
3. A consumer (worker or application) polls the queue and receives messages.
4. The message is invisible during processing (visibility timeout).
5. After processing, the consumer deletes the message.
6. If the message isn't deleted in time, it becomes visible again for reprocessing.

 Use Cases for Standard Queues

• High-throughput applications
• Real-time user activity tracking
• Distributed systems with independent processing
• Order-insensitive task queues (e.g., image resizing, logging)
• Decoupling microservices in an event-driven architecture

 Example of how twtech Sends and Receive (Using AWS CLI)

# bash

# Create a Standard Queue

aws sqs create-queue --queue-name twtech-StandardQueue

# Send a message

aws sqs send-message \

  --queue-url https://sqs.us-east-2.amazonaws.com/1234567xxxx/twtech-StandardQueue \

  --message-body "Hello twtech-team, SQS!" 

# Receive a message

aws sqs receive-message \

  --queue-url https://sqs.us-east-2.amazonaws.com/1234567xxxx/twtech-StandardQueue

Here's twtech step-by-step guide to create a Standard Queue in the AWS Management Console using Amazon SQS:

Step-by-Step: Create a Standard Queue

 1. Sign in to the AWS Console

·        Go to: https://console.aws.amazon.com/sqs

·        twtech Makes sure it is in the correct AWS Region (top-right corner).

 2. Open the Amazon SQS Console

·        From the Services menu, search for SQS and select it.

 3. Create Queue

·        Click on the “Create queue” button.

 4. Choose Queue Type

·        Choose Standard Queue (default selection).

o   Standard → High throughput, at-least-once delivery

o   Leave FIFO Queue unchecked

 5. Configure Queue Name

·        Enter a Queue name, for example: twtech-StandardQueue.

 6. Configure Optional Settings

twtech can leave most defaults, or customize if needed:

·        Visibility timeout: How long a message remains invisible after being received (default: 30 sec).

·        Message retention: How long messages stay in the queue (default: 4 days).

·        Delivery delay: Delay all messages (optional).

·        Maximum message size: Default is 256 KB.

·        Receive message wait time: Set to 20 seconds for long polling (recommended).

 7. Access Policy (Permissions)

·        Choose one of the options:

o   Basic (only the queue owner can send/receive)

o   Advanced (for custom IAM policies)

·        twtech can allow other AWS accounts or services (like Lambda) to access the queue here.

 8. Encryption (Optional)

·        Choose SSE (server-side encryption) with AWS KMS if you need to encrypt messages.

 9. Dead-letter Queue (Optional)

·        twtech can configure a DLQ to handle failed message processing.

·        Skip or configure later if not needed now.

10. Click “Create Queue”

·        twtech will be taken to the queue’s dashboard with details, monitoring, and test tools.

 Testing twtech Queue

After creation, twtech can:

·        Send a test message from the “Send and receive messages” tab.

·        Receive/delete messages to simulate a consumer.

Here's twtech complete Python example using Boto3 to interact with Amazon SQS (Standard Queue) — including creating a queue, sending a message, receiving it, and deleting it.

 Pre-requisites

1. Install Boto3 (if not already installed):

# bash

pip install boto3

2. Configure AWS Credentials:

# bash

aws configure

Provide your AWS Access Key, Secret Key, Region (e.g., us-east-2), and output format (e.g., json).

 Python Code: Create, Send, Receive, Delete Message

# python

import boto3 

# Create an SQS client

sqs = boto3.client('sqs')

# 1. Create a Standard Queue

response = sqs.create_queue(

    QueueName='twtech-StandardQueue',

    Attributes={

        'DelaySeconds': '0',

        'MessageRetentionPeriod': '345600'  # 4 days in seconds

    }

)

queue_url = response['QueueUrl']

print(f"Queue created: {queue_url}")

# 2. Send a Message to the Queue

send_response = sqs.send_message(

    QueueUrl=queue_url,

    MessageBody='Hello from Boto3!',

    MessageAttributes={

        'Sender': {

            'StringValue': 'twtech-PythonApp',

            'DataType': 'String'

        }

    }

)

print(f"Message sent. ID: {send_response['MessageId']}") 

# 3. Receive the Message

receive_response = sqs.receive_message(

    QueueUrl=queue_url,

    MaxNumberOfMessages=1,

    WaitTimeSeconds=5,  # Enable long polling

    MessageAttributeNames=['All']

)

messages = receive_response.get('Messages', [])

if messages:

    message = messages[0]

    receipt_handle = message['ReceiptHandle']

    print("Message received:")

    print(f"  Body: {message['Body']}")

    print(f"  Attributes: {message.get('MessageAttributes', {})}")

    # 4. Delete the Message after processing

    sqs.delete_message(

        QueueUrl=queue_url,

        ReceiptHandle=receipt_handle

    )

    print("Message deleted.")

else:

    print("No messages received.")

 Insights:

• create_queue() will reuse an existing queue with the same name.
• MessageRetentionPeriod controls how long a message is kept in the queue (up to 14 days).
• WaitTimeSeconds in receive_message() enables long polling, reducing empty responses and cost.

Here's twtech clear side-by-side comparison of Amazon SQS – Standard Queue vs FIFO Queue, so anyone can choose the right one based on the application's needs.

 Amazon SQS: Standard Queue vs FIFO Queue

Feature	Standard Queue	FIFO Queue
Delivery Guarantee	At-least-once (duplicates possible)	Exactly-once (no duplicates)
Message Order	Best-effort (unordered delivery)	First-In-First-Out (strict ordering)
Throughput	High (unlimited TPS)	Limited (up to 300 TPS without batching, 3,000 TPS with batching)
Duplicates	Possible	Not allowed
Use Case	High-throughput, unordered tasks (e.g., logging, processing)	Ordered, unique tasks (e.g., transactions, ledgers)
Message Group ID	Not required	Required (used to maintain ordering)
Deduplication ID	Not used	Required or auto-generated (ensures no duplicate delivery)
Queue Name Format	Any name (e.g., MyQueue)	Must end with .fifo (e.g., MyQueue.fifo)
Supports Encryption, DLQ, IAM	✅ Yes	✅ Yes
Batching Support	✅ Yes (up to 10 messages)	✅ Yes (up to 10 messages)
Latency	Typically lower due to less strict guarantees	Slightly higher due to ordering & deduplication checks

 Use Standard Queue When:

• Message order doesn’t matter.
• twtech needs high throughput.
• Duplicate processing is acceptable or handled in your app.
• Examples:
• Log aggregation
• Media processing pipelines
• User notifications

 Use FIFO Queue When:

• Order matters (e.g., financial transactions, event logs).
• twtech needs exactly-once delivery.
• Examples:
• Banking systems
• Inventory/order processing
• Workflow automation

 Sample FIFO Queue Creation in Python (Boto3)

# python

response = sqs.create_queue(

    QueueName='twtech-FIFOQueue.fifo',

    Attributes={

        'FifoQueue': 'true',

        'ContentBasedDeduplication': 'true'

    }

)