Imagine a world where you can deploy your application without worrying about provisioning servers, scaling infrastructure, or managing maintenance tasks. Serverless computing makes this possible by enabling an event-driven serverless architecture that automatically scales resources based on demand. This means your application can seamlessly handle varying workloads, from a trickle of requests to a flood of traffic, without any manual intervention.

As AWS Cloud Experts, we understand the benefits of serverless computing and why it is an excellent option when building and deploying applications, so let’s take a closer look.

Defining Serverless Computing

Serverless computing is a cloud-computing execution model where the cloud provider dynamically manages the allocation and provisioning of servers. This model allows developers to focus solely on writing code without worrying about the underlying infrastructure, which is abstracted away and managed by the provider. The term “serverless” does not refer to not using the servers at all, because servers are indeed used, but developers do not need to manage, provision, or maintain them.

In traditional computing models, developers need to estimate the amount of server capacity they need, which involves a fair amount of guesswork and can lead to over-provisioning or under-provisioning. Serverless computing, on the other hand, allows applications to scale automatically and handle workloads on-demand, billing only for the actual time and resources consumed by the application.

“Leading cloud providers, such as AWS Lambda, Google Cloud Functions, and Microsoft Azure Functions, have witnessed significant growth in serverless adoption.”


What’s Different with Serverless Computing?

If we think of ‘traditional computing’, this would include using hardware, software, and other related services from a centralized location. This typically requires businesses to invest in these services and also personnel to manage and maintain them. So how does this compare to serverless computing?

  • No Server Management
    One of the most significant differences with serverless computing is that developers are not responsible for managing servers. This includes tasks like server provisioning, scaling, patching, and maintaining the infrastructure. The cloud provider takes care of all these tasks, allowing developers to focus on writing and deploying code.
  • Event-Driven Execution
    Serverless architectures are often event-driven. This means that functions in a serverless application are triggered by events such as HTTP requests, database changes, file uploads, or other types of events. This event-driven model can lead to highly responsive and scalable applications.
  • Fine-Grained Billing
    In serverless computing, billing is based on the actual usage of resources, often measured in milliseconds. This is different from traditional computing models where you pay for server uptime regardless of actual usage. With serverless, you only pay when your code is running, which can lead to significant cost savings, especially for applications with variable or unpredictable workloads.
  • Scalability
    Serverless platforms automatically scale up or down based on the demand. If there is a spike in traffic, the platform will automatically handle the increase in load, ensuring that the application remains responsive. Conversely, during periods of low demand, resources are scaled down, and you are not charged for idle capacity.

Benefits of Serverless Computing

Serverless computing is an excellent option when you want to save on cost, get the deployment done quickly, and for so many other reasons. The three key benefits of utilizing the power of serverless computing include:

  1. Reduced Operational Complexity

    Since serverless removes the need for infrastructure management, developers can focus more on writing code and implementing features rather than dealing with managing multiple servers and operations. This can accelerate development cycles and improve productivity.

  2. Quick Deployment
    Serverless architectures often allow for faster deployment times. Functions can be deployed independently, and updates can be made without redeploying the entire application. This supports agile development practices and continuous delivery.
  3. Enhanced Security
    Since the cloud provider is responsible for managing the underlying infrastructure, including applying security patches and updates, there is often a higher level of security compared to traditional self-managed environments. This reduces the burden on development teams to keep up with security best practices for infrastructure. 

The Importance of Choosing the Right Cloud Provider

To ensure you are able to maximize the benefits that serverless computing can provide, selecting a cloud provider is key. To help shortlist your choice and ensure going serverless will meet the needs and demands of your organization, here are some talking points to consider:

  1. Vendor Lock-In

    Relying on a specific cloud provider’s serverless platform might lead to vendor lock-in. Different providers offer different services and features, and migrating from one provider to another can be challenging and time-consuming. Make sure your cloud solution provider can help you from landing in this situation.

  2. Cold Start Latency
    Serverless functions, if not utilized in the appropriate way, can experience latency issues known as “cold starts” when they are invoked after being idle. This can lead to delays in the response time, which might be critical for latency-sensitive applications. Have it in agreement with your cloud provider before you choose one.
  3. Limited Execution Time
    Serverless functions often have limitations on execution time. For instance,  certain functions including AWS Lambda functions have a restricted time of execution. This needs to be taken care of by your cloud provider, especially for long-running processes.
  4. Complexity in Debugging and Monitoring
    Debugging serverless applications can be a little more complex compared to traditional applications. Since the infrastructure isn’t present, developers may find it challenging to get visibility into the execution environment. Here you might need the expertise of your cloud provider to make use of specialized tools and techniques for monitoring and logging.


Serverless computing represents a significant shift in how applications are developed and deployed, offering a highly scalable, cost-effective, and efficient model for modern cloud-native applications. By abstracting away the underlying infrastructure, serverless allows developers to focus on writing and deploying code, leading to faster development cycles and more innovation.

Still confused if serverless computing is what you need? Contact SourceFuse today!