In the past, web developers had to maintain and manage the servers that ran their websites and applications, handle scaling and related issues, and ensure their resources were always available to them and their users or visitors. Serverless computing has changed this by abstracting server management tasks. This has allowed developers to focus on building applications while offloading infrastructure concerns to a business or service provider.
What is Serverless Computing?
Serverless computing is a mode where a cloud provider manages the allocation and provisions of servers. Developers get access to the resources they need at the time on an as-use basis, which is why this model is also called Function-as-a-Service.
Developers only need to concentrate on writing small units of execution or code without worrying about the infrastructure. The only time developers have to think about this is when they are deciding which resources they need initially before the provider applies options like scaling and additional resource provisioning.
These functions run depending on HTTP requests and specific events, which is how they can scale up and down depending on demand. This means developers have the additional headroom for their applications to scale with demand while keeping their costs as low as possible in periods of low demand.
Developers also get access to tools like Kubernetes that allow them to host their applications on containers. These containers are self-contained software solutions that developers can build and destroy at will without affecting their overall applications.
They also provide additional benefits if configured properly, which is why many developers rely on providers like Gcore to set them up. Also, working with Gcore means you never have to worry about server or Kubernetes management because they handle it all for you.
What are the Benefits of Serverless Computing?
Perhaps one of the biggest advantages of this mode and the reason it has become so popular is that it removes the need to manage servers. Developers do not have to maintain, scale, or provision servers, with options like Kubernetes allowing them to handle the latter two functions without their input.
Also, the cloud provider will handle all the infrastructure management tasks, including upgrades and software patches. This reduces operational overhead and allows web and software development teams to focus on writing the required business logic.
Serverless computing allows faster development and deployment. Developers do not have to wait for servers to become available because the cloud providers ensure they are. Developers can also iterate the software because they can test it on containers and destroy those when they no longer need them. They can also roll back any changes if they introduce bugs or significant issues, allowing developers to correct such issues and up-load patches easily.
Cost Optimizations and Automatic Scaling
Having a server run at its full capacity all the time is expensive and wasteful. Cloud providers understand this, which is why they let their cloud platforms run with the power they need when they need it.
By charging based on the execution and the resources consumed by developer functions, they can save a lot of money that they can then use to make their services much cheaper. Developers do not have to incur any costs if no active functions are running, which makes these solutions the best for applications with variable or unpredictable workloads.
Once they receive a request or an action, these servers spin and scale up to handle the workload. This ensures that the applications that run on them can handle high loads without any manual intervention, providing excellent scalability and responsiveness. Once the functions have run and there are no incoming requests, the servers scale down and return to their initial state.
They Allow Developers to Focus on Application Logic
Every developer and business has their preferred programming language. Some like their applications developed in Python or JavaScript, while others prefer PHP.
Serverless computing allows businesses and developers to write modular code in their preferred programming languages. In addition to saving time, this capability fosters a focused development experience and better developer experience.
Where is Serverless Computing Used in Web Development?
Developers use serverless computing to deploy serverless functions using different frameworks. For example, they can use the Serverless Stack for their React.js applications or Zappa for Python. These frameworks simplify deployment and scaling, improving developer productivity and application scaling.
Serverless computing is also well-suited for microservice architectures. In this paradigm, developers break their applications into smaller, modular pieces that they can deploy and scale independently using serverless functions. As mentioned above, options like Kubernetes are suited for these kinds of workflows and deployments.
This model is also excellent for hosting API endpoints. Developers can create serverless functions that act as API endpoints. These respond to user requests and different events, including those triggered by other services.
These APIs can also support the deployment of microservices on other services because they can trigger the events and requests these other services respond to.
Developers and businesses are also using serverless computing to run background tasks. They can offload options like data processing, sending notifications, video rendering, and image resizing to cloud GPUs and edge networking architectures. Doing this allows asynchronous execution that leads to better performance.
Key Considerations When Moving to Serverless Models
Serverless offers numerous benefits that businesses and developers can take advantage of. However, there are a few things developers must consider when moving to it. The first is vendor-lock in. It is very easy for developers to end up with vendors who make it difficult, sometimes impossible, to move to other providers.
The second is limited control. Almost all cloud providers who provide serverless computing services ensure high performance and availability of their servers. However, developers might need access to the underlying infrastructure for various uses which is not possible with these solutions. For developers who require this, traditional hosting is often the better option.
Serverless computing is a significant fundamental change to how developers create, host, deploy, scale, and manage their applications. It offers numerous benefits, which is why it is becoming the standard in the industry. However, developers must understand its strengths and limitations before switching to determine if it is the best approach for their use case.
