When we say “serverless” computing, many assume there is no server in this model to facilitate code execution and other development tasks. It is a simple mistake.
So after this myth buster, you might be wondering what the logic behind the name “serverless” is.
Let me give you a hint: instead of “serverless”, it’s HOW servers are managed and deployed, it’s what “Serverless” implies.
Well, we will learn all about serverless and other related terms to clear your doubts. For starters, serverless technology is becoming famous right now. In fact, the serverless market is likely to reach $7.7 billion in 2021 from $1.9 billion in 2016.
So let’s talk about serverless technology and try to find out the reason behind its popularity.
What is Serverless Computing?
Serverless or serverless computing is a cloud-based execution model in which cloud service providers provide machine resources on demand and manage the servers themselves instead of customers or developers. It’s a way that combines services, strategies, and practices to help developers build cloud-based applications by allowing them to focus on their code instead of server administration.
From resource allocation, capacity planning, management, configurations, and scaling to patches, upgrades, scheduling, and maintenance, the cloud service provider (such as AWS or Google Cloud Platform) takes care of everything. responsibility for managing common infrastructure tasks. As a result, developers can focus their time and effort on the business logic of their processes and applications.
This serverless computing architecture never contains computing resources in volatile memory; instead, the computation is carried out in short chunks. Suppose you are not using an application, no resources will be allocated to it. Therefore, you are paying for the resources that you actually consume in the applications.
The main goal behind creating the serverless model is to simplify the process of deploying code to production. Many times, it also works with traditional styles like microservices . Once deployed serverless, the applications it powers start responding to demands quickly and automatically scale up or down as needed.
Serverless computing uses an event
Driven model to China Phone Number determine scaling requirements. Therefore, developers no longer need to anticipate an application’s usage to decide how many servers or bandwidth they require. You can demand more servers and bandwidth based on your growing needs without reservation or scale down at any time with no hassle.
How did Serverless Evolve?
The traditional system had challenges associated with scalability and agility in the application development and deployment process. As the demand for high-quality applications with faster time-to-market increased, the need began to emerge for a better system that can deliver more scalability and agility. It resulted in the evolution of cloud computing and serverless models.
The Serverless model has evolved in several stages, from monolithic to microservices, serverless architecture, or Function-as-a-Service (FaaS).