Serverless Computing, or serverless computing, is a method of providing back-end services based on how they are used. In it, a company that contracts with a serverless provider is billed based on usage, not a fixed amount of bandwidth or the number of servers.
In practice, we are talking about a trend increasingly adopted by organizations — growth of 30% per year, according to Witekio study. And therefore, it is quite advisable to know more about this approach.
Keep reading to understand!
What is Serverless Computing?
Serverless Computing has emerged as a new paradigm for deploying applications and services. It represents an evolution of cloud programming models, abstractions and platforms.
A company using backend services from a serverless vendor is billed based on the compute used and does not need to reserve and pay for a fixed amount of bandwidth or number of servers. That's because the service can scale automatically when needed.
It is worth noting that although the services are called “serverless”, physical servers are still used, but users do not need to be aware of them.
In the early days of the internet, anyone wanting to create a web application needed to own the physical hardware to run a server, a complicated and expensive task.
Later came Cloud Computing, in which a fixed number of servers or amounts of space could be rented remotely.
Developers and companies that leased these fixed units of server space often bought extra space. They wanted to ensure that a spike in traffic or activity did not exceed monthly thresholds and disrupt applications. This means that a lot of paid server space can be wasted.
To solve the problem, cloud vendors have introduced autoscaling models. However, even this type of model could end up being very expensive if an unwanted spike in activity occurs, such as a DDoS attack.
Serverless computing allows the purchase of backend services based on a flexible pay-as-you-go scheme. It's like migrating from a cellular data plan with a fixed monthly cap to one that only charges for every byte of data that is actually used.
It is also good to know that the term “serverless” should not be interpreted ipsis litteris, as the servers that provide these backend services continue to exist. The X of the matter is that whoever handles all space and infrastructure issues is the supplier.
What are the advantages of the Serverless Computing model?
- Lower costs — Serverless computing is often very cost-effective, as traditional providers' backend cloud services model (server allocation) often means that the user ends up paying for unused space or CPU idle time.
- simplified scalability — Developers using serverless architecture don't have to worry about policies to increase the capacity of their code. The serverless provider takes care of scaling up services according to demand.
- Simplified backend code — Developers can create simple functions that run independently to perform a single purpose, such as making an API call.
- faster return — Serverless architecture can significantly reduce time to market. Rather than requiring a complicated deployment process to implement bug fixes and new features, developers can add and modify code gradually.
Summing it Up
Serverless Computing, serverless computing, offers a number of advantages over traditional cloud-based or server-centric infrastructure.
For many developers, serverless architectures offer greater scalability, greater flexibility, and faster time to market, all at a reduced cost.
With serverless architectures, developers don't have to worry about purchasing, provisioning, and managing backend servers. However, serverless computing is not a silver bullet for all web application developers.
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