Ques: 1). What distinguishes Amazon SQS from Amazon MQ?
Answer:
Consider Amazon MQ if you want to rapidly and simply migrate your messaging to the cloud while still utilising it with your current apps. You may transition from any standards-based message broker to Amazon MQ without having to completely rewrite the messaging code in your apps since it supports industry-standard APIs and protocols. We advise you to take Amazon SQS and Amazon SNS into account while developing brand-new cloud-based apps. Amazon SQS and SNS are lightweight, fully managed message queue and topic services that offer straightforward, user-friendly APIs and almost indefinite scalability.
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Ques: 2). What distinguishes Amazon SQS from Amazon Kinesis Streams?
Answer:
For storing messages as they go between applications or microservices, Amazon SQS provides a dependable, highly scalable hosted queue. It transfers data among various application components and aids in decoupling them. Common middleware components like dead-letter queues and poison-pill management are offered by Amazon SQS. Any programming language that the AWS SDK supports can access it, and it also offers a general web services API. Standard and FIFO queues are both supported by Amazon SQS.
Real-time processing of streaming large data and the ability to read and replay records to numerous Amazon Kinesis Applications are made possible by Amazon Kinesis Streams. The Amazon Kinesis Client Library (KCL) makes it simpler to create numerous apps that read from the same Amazon Kinesis stream by sending all records for a particular partition key to the same record processor (for example, to perform counting, aggregation, and filtering).
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Ques: 3). Dead-letter queues: what are they?
Answer:
If the consumer application for the source queue is unable to effectively consume the messages, the source queue may send the messages to a dead-letter queue on Amazon SQS. You can manage the life cycle of unconsumed messages and handle message consumption errors more easily with dead-letter queues. To identify problems with consumer applications, you may create an alert for any messages that are delivered to a dead-letter queue, go through the logs for any errors that led to their delivery to the queue, and check the substance of the messages. You can redrive the messages from your dead-letter queue to the source queue after your consumer application has been restored.
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Ques: 4). How dependable is the data storage in Amazon SQS?
Answer:
In order to prevent message inaccessibility due to a single computer, network, or Availability Zone (AZ) failure, Amazon SQS stores all message queues and messages in a single, highly-available AWS region with many redundant Availability Zones (AZs). See Regions and Availability Zones in the Amazon Relational Database Service User Guide for further details.
AWS Identity and Access Management (IAM) rules are similar to the policies used by Amazon SQS's resource-based permissions system in that both employ policies defined in the same language. For instance, both use variables.
The Transport Layer Security (TLS) and HTTP over SSL (HTTPS) protocols are supported by Amazon SQS. Most clients can automatically negotiate to use newer versions of TLS without any code or configuration change. Amazon SQS supports versions 1.0, 1.1, and 1.2 of the Transport Layer Security (TLS) protocol in all regions.
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Ques: 5). Do you provide message purchasing using Amazon SQS?
Answer:
Yes. First-in, first-out (FIFO) queues maintain the precise sequence of messages delivered and received. You don't need to provide sequencing information in your messages if you utilise a FIFO queue. Standard queues include a loose-FIFO feature that makes an effort to maintain the message order. Receiving messages in the precise sequence they are sent is not guaranteed, however, because conventional queues are intended to be immensely scalable utilising a widely dispersed architecture.
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Ques: 6). What advantages does Amazon SQS have over custom-built or pre-packaged message queuing systems?
Answer:
Compared to developing your own message queue management software or utilising open-source or commercial message queuing solutions, which take a substantial amount of setup time, Amazon SQS offers a number of benefits.
These options demand continuing system management and hardware maintenance resources. The requirement for redundant message storage, which guarantees that messages are not lost in the event of hardware failure, further increases the complexity of creating and operating these systems.
Amazon SQS, in comparison, needs very minimal configuration and no expense in terms of administration. On a huge scale, Amazon SQS processes billions of messages every day. Without any configuration, you may adjust the amount of traffic you send to Amazon SQS. Amazon SQS also provides extremely high message durability, giving you and your stakeholders added confidence.
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Ques: 7). Is Amazon SQS compatible with other AWS services?
Answer:
Yes. By combining Amazon SQS with computing services like Amazon EC2, Amazon Elastic Container Service (ECS), and AWS Lambda as well as storage and database services like Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB, you can increase the scalability and flexibility of your applications.
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Ques: 8). What is lengthy polling for Amazon SQS?
Answer:
You may obtain messages from your Amazon SQS queues using extended polling. Long polling doesn't respond until a message enters the message queue or the long poll times out, whereas conventional short polling responds, even if the message queue being polled is empty.
It is cheap to collect messages from your Amazon SQS queue as soon as they become available thanks to long polling. If you employ lengthy polling, you can cut down on the amount of empty receives, which might lower the cost of utilising SQS.
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Ques: 9). How can I monitor and control the expenses related to my Amazon SQS queues?
Answer:
Utilizing cost allocation tags, you may label and monitor your queues for resource and expense control. A key-value pair makes up a tag, which is a type of metadata label. You may, for instance, categorise and track your expenditures depending on the cost centres you use to tag your queues.
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Ques: 10). What advantages does SSE have for Amazon SQS?
Answer:
Sensitive data may be sent in encrypted queues using SSE. Using keys maintained by the AWS Key Management Service, SSE secures the contents of messages in Amazon SQS queues (AWS KMS). As soon as messages are received by Amazon SQS, SSE encrypts them. The messages are stored in encrypted form and Amazon SQS decrypts messages only when they are sent to an authorized consumer.
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Ques: 11). What distinguishes Amazon Simple Notification Service (SNS) from Amazon SQS?
Answer:
Applications can use Amazon SNS to deliver time-sensitive messages to a large number of subscribers instead of periodically checking or polling for updates. A message queuing service called Amazon SQS may be used to separate the sending and receiving parts of distributed applications so that messages can be exchanged using a polling mechanism.
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Ques: 12). What number of copies will I get of a message?
Answer:
FIFO queues are made to ensure that no messages are ever introduced twice. In some circumstances, though, your message producer could add duplicates. For instance, if the producer sends a message, doesn't get a reply, and then sends the identical message again. The deduplication mechanism offered by the Amazon SQS APIs stops your message producer from sending duplicate messages. Within a 5-minute deduplication interval, the message producer's duplicates are eliminated.
You could occasionally get a duplicate copy of a message for regular queues (at-least-once delivery). If you utilise a normal queue, you must create idempotent apps (that is, they must not be affected adversely when processing the same message more than once).
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Ques: 13). How are unprocessable messages handled by Amazon SQS?
Answer:
Dead letter queues in Amazon SQS may be set up using the console or the API to accept messages from other source queues. You must use RedriveAllowPolicy to specify the correct permissions for the dead letter queue redrive when configuring a dead letter queue.
The dead-letter queue redrive permission's parameters are included in RedriveAllowPolicy. As a JSON object, it specifies which source queues are permitted to declare dead-letter queues.
After creating a dead letter queue, messages are sent to it if the processing cannot be finished within a certain number of attempts. Dead letter queues can be used to collect unprocessable messages for subsequent examination.
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Ques: 14). Does message metadata support Amazon SQS?
Answer:
Yes. A message from Amazon SQS may have up to 10 metadata characteristics. The substance of a message may be distinguished from the metadata that describes it using message attributes. Because your apps don't have to analyse a complete message before knowing how to process it, information is processed and stored more quickly and efficiently.
Name-type-value triples are used for Amazon SQS message characteristics. The available types are numeric, binary, and string (including integer, floating-point, and double).
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Ques: 15). Do I need to update my application in order to use the Java version of the AmazonSQSBufferedAsyncClient?
Answer:
No. A drop-in replacement for the current AmazonSQSAsyncClient is provided by the AmazonSQSBufferedAsyncClient for Java.
Your application will gain the advantages of automated batching and prefetching if you update it to utilise the most recent AWS SDK and switch your client to use the AmazonSQSBufferedAsyncClient for Java instead of the AmazonSQSAsyncClient.
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Ques: 16). What timeout setting should I use for my long-poll?
Answer:
A long-poll timeout should generally be limited to 20 seconds. Set your long-poll timeout as high as you can since it will result in fewer empty ReceiveMessageResponse objects being returned.
Set a shorter long-poll timeout, as low as 1 second, if the 20-second limit is insufficient for your application.
By default, all AWS SDKs operate with polls that last 20 seconds. You might need to change your Amazon SQS client to enable longer queries or to use a shorter long-poll timeout if you don't use an AWS SDK or if you set your AWS SDK to explicitly have a lower timeout.
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Ques: 17). How can I set the Amazon SQS limit message size?
Answer:
Use the console or the SetQueueAttributes method to set the MaximumMessageSize property to the desired value. The maximum amount of bytes that an Amazon SQS message may contain is specified by this parameter. Set this attribute's value to anything between 1 KB (1,024 bytes) to 262,144 bytes (256 KB).
Make advantage of the Amazon SQS Extended Client Library for Java to transmit messages bigger than 256 KB. With the help of this library, you are able to send an Amazon SQS message with a reference to a message payload in Amazon S3 that is up to 2 GB in size.
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Ques: 18). Why do the actions of ReceiveMessage and DeleteMessage exist separately?
Answer:
Whether or not you get a message that Amazon SQS returns to you, the message remains in the message queue. The deletion request confirms that you have finished processing the message, and it is your responsibility to delete the message.
If you don't remove the message, Amazon SQS will resend it when it gets a new request to accept it.
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Ques: 19). Is it possible to remove every message from a message queue without removing the queue itself?
Answer:
Yes. The PurgeQueue action allows you to remove every message from an Amazon SQS message queue.
All of the messages that have already been sent to a message
queue are erased when you purge it. There is no need to change the message
queue's configuration because your message queue and its properties are still
there. Use the DeleteMessage or DeleteMessageBatch actions to specifically
delete particular messages.
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Ques: 20). How do messaging groups work?
Answer:
Within a FIFO queue, messages are organised into discrete, sequential "bundles." All messages are sent and received in exact sequence for each message group ID. Messages with various message group ID values, nevertheless, could be sent and received out of chronological order. A message must be linked to a message group ID. The action fails if a message group ID is not supplied.
If messages with the same message group ID are transmitted to a FIFO queue by several hosts (or separate threads on the same host), Amazon SQS distributes the messages in the order in which they arrive for processing.
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