AWS Lambda is a "serverless" service provided by Amazon Web Services (AWS) that allows developers to execute code without managing or provisioning servers. With Lambda, developers can write functions and upload them to run in the cloud on an as-needed basis without managing infrastructure.
It operates based on "event triggers" that initiate the code, such as uploading a file to an Amazon S3 bucket or receiving a message in an Amazon Simple Queue Service (SQS) queue. Lambda scales automatically to meet the code's demands, and developers only pay for the actual compute power used, as billing is based on the number of function invocations and their duration.
Message topics are a concept in message processing that allows messages to be categorized into topics or subjects and sent to various recipients interested in a specific topic.
In the context of message brokers or messaging services, topics enable the publication of messages related to a particular theme or category. These messages can then be received by multiple subscribers or recipients interested in that topic by subscribing to it.
A publisher, responsible for generating messages, sends a message to a specific topic, and multiple subscribers can receive these messages by subscribing to or registering interest in that topic. This topic-based communication allows for flexible, scalable, and targeted message distribution in distributed systems or applications.
For instance, a message topic could be 'Technology,' and all messages associated with this topic would be sent to subscribers interested in technology, while other subscribers interested in topics like 'Sports' or 'Science' would only receive messages related to those specific themes.
A queue is a data structure that operates on the principle of 'First In, First Out' (FIFO). This means that the first element inserted into the queue is the first one to be removed.
Think of it like a real-life queue: those who arrive first are also served first. In computer science and message processing, a queue is used to store elements or messages waiting to be processed by a process, application, or system.
For instance, a message queue in a message broker works similarly. When an application sends a message, it's placed in the queue, waiting there until it's picked up and processed by another application or system. This facilitates efficient, ordered, and timed processing of messages or tasks.