Serverless computing is a cloud-computing execution model where the cloud provider dynamically manages the allocation and provisioning of servers. By allowing developers to run code in response to events without the complexity of managing infrastructure, serverless abstracts away the server management, enabling teams to focus more on writing code and less on server maintenance. This approach can lead to significant cost savings, as it inherently scales with demand and charges are based only on the compute time consumed.
In the platforms-and-operations quadrant, serverless is highly relevant due to its operational efficiency and ability to accelerate deployment cycles. Its capability to automatically scale and handle high concurrency makes it an attractive choice for modern application architectures. With major cloud providers offering robust serverless platforms, such as AWS Lambda, Azure Functions, and Google Cloud Functions, the adoption of serverless architectures in production environments has become increasingly viable. As organizations look to enhance agility and reduce operational overhead, serverless is becoming a key pillar in cloud-native strategies.