Table of Contents

    What do you mean by Serverless Computing?

    • December 14, 2023
    • 5 min

    One of the most important parts of developing and sustaining digital applications has always been server management. The introduction of serverless computing, on the other hand, has completely altered this standard by freeing developers from the burden of managing the underlying infrastructure to concentrate entirely on developing code. Let’s understand this in detail.

    Introduction to serverless computing

    With serverless computing, the infrastructure is automatically managed by cloud providers on your behalf. A serverless architecture eliminates the requirement for server provisioning and management. Rather, the cloud provider provides resources on an as-needed basis to run and expand the app.

    Key characteristics of cloud computing include:

      • No Server Management: Serverless computing abstracts away the infrastructure, allowing developers to focus solely on writing code and building applications without the need to worry about server provisioning, scaling, or maintenance.
      • Event-Driven: Serverless functions are typically triggered by events, such as HTTP requests, changes in data (e.g., database updates), file uploads, or scheduled tasks. Functions are executed in response to these events.
      • Automatic Scaling: Serverless platforms automatically scale your application based on the number of incoming requests or events. Resources are allocated dynamically, and you are billed based on the actual usage of resources.
      • Pay-as-You-Go Pricing: With cloud computing, you are charged based on the actual execution of functions or the resources consumed during the execution. You don’t pay for idle time, which can be cost-effective for applications with varying workloads.

      Popular serverless platforms include AWS Lambda, Microsoft Azure Functions, Google Cloud Functions, and others. These platforms provide the necessary infrastructure and services to deploy, run, and scale serverless applications seamlessly.

    Pros of using serverless computing

    There are many advantages that serverless computing offers businesses. Here is a list of reasons why one should think about using cloud computing:

    Fast Deployment

    Development teams can concentrate on building code that can thrive in the modern world thanks to a serverless architecture. They no longer have to worry about maintaining infrastructure, a great deal of complexity is eliminated, and they have additional time for app development and optimization.


    When a business doesn’t have to maintain hardware, it may save expenses associated with infrastructure and operations. Teams can also modify their budgets in accordance with the demands of their services. Furthermore, the cloud service meter starts when the request is made and ends when execution is completed, so the firm only needs to pay for what it used.

    Scalability & Better UX

    For a quicker and more seamless experience, serverless computing helps lower the latency time between servers communicating. Serverless services can assist in improving user experience by being faster and more economical when it comes to parallel processing. Furthermore, a server’s capacity is not a constraint on businesses. Thus, the cloud service facilitates rapid scaling.

    High Availability

    Serverless architectures often leverage the underlying cloud provider’s infrastructure to ensure high availability and fault tolerance. Functions are distributed across multiple data centers, reducing the risk of downtime.

    Use-cases serverless service

    Below are some of the real-world examples of cloud computing that benefitted the companies.

    • Backends of API: With a serverless platform, each operation may be transformed into an HTTP endpoint that web clients can use. These activities are known as web actions when they are turned on for the web. After obtaining web activities, you may combine them into a fully functional API by utilizing an API gateway that offers further security.
    • Microservices: Supporting microservices architectures is now the most popular use case for serverless technology. The goal of the microservices approach is to build tiny, single-purpose services that may interact with one another via APIs. Although PaaS may also be used to build and run microservices, serverless architecture has acquired a lot of traction because of its tiny code footprint, automated scaling, and no-charge pricing model for unused capacity.
    • Data processing: Working with organized text, graphics, audio, and video data is a good fit for serverless computing. It can be used for tasks like data enhancement, alteration, verification, noise reduction, and cleansing.
    • Authentication and Authorization: Serverless can be used to handle authentication and authorization processes, such as user login, token generation, and access control.


    In conclusion, web applications, microservices, data processing, Internet of Things, and other use cases find serverless computing appealing due to its pay-as-you-go pricing model, automated scalability, and event-driven nature. Before implementing a serverless architecture, it’s crucial to thoroughly assess application needs and potential limits, even if it provides considerable benefits in terms of cost savings, agility, and scalability.


    How does serverless pricing work?
    Serverless computing typically follows a pay-as-you-go model, where you are billed based on the actual execution of functions and resources consumed during that execution. There are no costs associated with idle time or over-provisioned infrastructure.
    What are the key benefits of cloud computing?
    Serverless offers benefits such as cost savings, automatic scaling, simplified deployment, rapid development, high availability, and the ability to build event-driven architectures. It allows developers to focus on code rather than managing servers.
    What are common use cases for serverless computing?
    Serverless is suitable for web applications, microservices, data processing, IoT, real-time file processing, backend for mobile apps, chatbots, APIs, scheduled tasks, and more. It excels in scenarios with varying workloads and event-driven requirements.
    Are there any downsides to cloud computing?
    While serverless computing has many advantages, it may not be the best fit for long-running processes, applications with consistently high workloads, or those requiring fine-grained control over the underlying infrastructure. Cold start latency can be a consideration for some use cases.
    Which cloud providers offer serverless platforms?
    Major cloud providers, including AWS (Lambda), Microsoft Azure (Functions), Google Cloud (Cloud Functions), and others, offer serverless platforms. Each platform has its features and integrations, so the choice may depend on your specific needs and preferences.

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