2. Men
What is serverless computing, and why do we need it?
With the rapid growth of the “as a service” business model in today’s
business domain, we are slowly moving towards a world where developers
may not need to rely on physical infrastructure to run codes. After the surge
of cloud-based platforms, IT companies are switching to a serverles
computing paradigm, which promises to be a cost-effective way of building
and operating applications in the cloud. IBM outlines serverles as an
approach to computing that offloads responsibility for common infrastructure
management tasks (e.g., scaling, scheduling, patching, provisioning, etc.) to
cloud providers and tools. This allows the engineers to focus their time and
effort on the business logic specific to their applications or process. It also
allows developers to create and deploy apps without having to worry about
server infrastructure. Basically, serverles computing is the abstraction of
servers, infrastructure, and operating systems. This means that, while this
technology eliminates the need for infrastructure provisioning and
management, it certainly does not eliminate the need for servers. Serverless
lets developers shift their focus from the server level to the task level. A
developer only has to specify how much RAM and CPU to allocate for the
function, what trigger or event should cause the code to execute, and then
finally upload the function source code.
What is serverless computing, and why do we need it?
With the rapid growth of the “as a service” business model in today’s business domain, we are slowly moving towards a world where developers may not need to rely on physical infrastructure to run codes. After the surge of cloud-based platforms, IT companies are switching to a serverless computing paradigm, which promises to be a cost-effective way of building and operating applications in the cloud. IBM outlines serverless as an approach to computing that offloads responsibility for common infrastructure management tasks (e.g., scaling, scheduling, patching, provisioning, etc.) to cloud providers and tools. This allows the engineers to focus their time and effort on the business logic specific to their applications or process. It also allows developers to create and deploy apps without having to worry about server infrastructure. Basically, serverless computing is the abstraction of servers, infrastructure, and operating systems. This means that, while this technology eliminates the need for infrastructure provisioning and management, it certainly does not eliminate the need for servers. Serverless lets developers shift their focus from the server level to the task level. A developer only has to specify how much RAM and CPU to allocate for the function, what trigger or event should cause the code to execute, and then finally upload the function source code.
