Description: In container orchestration, a worker refers to a container that performs background processing tasks, often as part of a larger application architecture. These workers are instances of containers that run without the need to manage the underlying infrastructure, allowing developers to focus on code and business logic. Serverless computing services enable users to run containers without worrying about server provisioning and management. Workers in this context are ideal for tasks that require asynchronous processing, such as handling message queues, real-time data processing, or executing scheduled tasks. Automatic scalability and the ability to manage multiple worker instances simultaneously are key features that allow applications to adapt to variable demand. Additionally, workers can easily integrate with various cloud services for storage or databases, making them a versatile option for modern microservices-based architectures.
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