Serverless technology is redefining how companies develop, utilize, and manage cloud-native applications. As businesses have strived for agility, scalability, and cost-efficiency in recent years, serverless computing has become an increasingly popular choice for building and deploying applications. Today they are highly suitable for managing dynamic workloads, infrequent run time, connected to external events, short functions, linked with other services, and variable scaling requirements that can operate statelessly. With its ability to abstract the underlying infrastructure, serverless cloud computing has emerged as a powerful tool for modern application development.
In this blog post, we’ll explore the concept of serverless computing, why you need it, its benefits when to use it with use cases, and more.
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Serverless computing is a cloud computing model that allows developers to build and run applications without managing the underlying infrastructure, such as servers, operating systems, or storage systems. With serverless computing, development teams can focus on writing code to create application functionality without worrying about the underlying infrastructure. It is cost-effective compared to on-premises servers and dedicated cloud virtual machines (VMs). Leading companies like Netflix, Coca-Cola, and Slack use serverless to deliver high-performance, elastic apps.
It works by running application code in ephemeral containers that are dynamically allocated and managed by the cloud provider. The cloud provider handles the containers’ scaling, availability, and security. The developer only pays for the number of computing resources consumed by the application rather than paying for a fixed amount of help you need all the time.
Serverless computing is often used for event-driven applications that run short-lived tasks, such as processing data streams, handling API requests, or running scheduled tasks. It can also be used for building microservices, which are small, independent components that work together to create a more extensive application. Serverless computing offers several benefits: increased scalability, reduced operational costs, and faster application time-to-market.
Did You Know?
The global serverless computing market will increase by over 23.17% CAGR between 2023 and 2028, suggests a Mordor Intelligence report.
The serverless architecture differs from other cloud computing models, where the provider manages the server infrastructure and the resources required to run the application.
This scalable, flexible, and cost-effective model makes it an attractive option for many businesses and developers.
Like every cloud computing model, serverless is not suitable for everything. At the same time, it has few drawbacks, and disadvantages.
We have the experience and skills to build serverless apps and solutions for high performance and scalability.
Serverless computing has many applications. So now you can stop wondering when to use serverless services. Here are some of its popular applications:
Serverless architecture and traditional architecture are two different approaches to building applications.
Traditional architecture typically involves running applications on dedicated servers, where developers manage the infrastructure, operating system, and application software themselves. It means they must worry about scaling the server capacity, ensuring high availability, and dealing with any issues. Traditional architecture often requires more upfront investment and ongoing maintenance.
On the other hand, the serverless architecture allows developers to build and run applications without managing the underlying infrastructure. Instead, the cloud provider collects the servers, operating system, and other resources, and the developer only needs to focus on writing the application code. In a serverless architecture, the application is broken down into smaller functions that can be executed independently in response to events without keeping the server running constantly.
There are several cloud architecture models, like PaaS (Platform as a service), Containers, and Virtual Machines (VMs). Here’s a comprehensive comparison table of Serverless Computing against PaaS, Containers, and VMs or IaaS (Infrastructure as a Service).
Several serverless providers are in the market, each offering unique features and capabilities. Here is a list of some of the most popular serverless providers:
These are just a few examples of serverless providers available in the market. Each provider offers different features and capabilities, so it is essential to evaluate each to determine which best fits your needs.
We provide end-to-end cloud app development with a team of highly skilled and experienced cloud development engineers and technical architects.
Our team can help you with serverless computing in several ways, including:
An eCommerce company wanting to boost sales and expand brand reach had a vision for a cloud-based multi-channel marketplace solution development. They wanted to move the existing solution to an event-driven architecture and go cloud-native using an AWS services-based API factory model.
Our team aligned with the client’s Enterprise Information Management (EIM) architecture and helped them utilize convenient AWS native services. We helped them conclude design considerations and choice of business layer components. Our team accounted for app availability, scalability, performance, responsiveness, and traffic composition. We implemented the Tableau BI software to derive insights into multiple business aspects like inventory, vendor management, sales, etc.
Read more about how the multi-channel e-Commerce management solution enabled Asian start-ups to unify buyer-seller engagement.
In conclusion, serverless computing has emerged as a promising technology for modern application development. The adoption is increasing due to its more straightforward and cost-effective way of building and operating cloud-native applications. Its ability to abstract away the infrastructure layer and handle all the underlying complexities allows developers to focus on their core business logic. Serverless computing enables developers to write more efficient and scalable code with lower operational costs, making it an ideal choice for startups and enterprises alike.
Further, its pay-as-you-go model, autoscaling, and backend management features add to its popularity. Now that you understand serverless cloud computing, its pros and cons, use cases, and much more, you can make an informed decision to incorporate it into your company’s IT strategy. As technology continues to evolve, we can expect to see more innovation in this space, and it will undoubtedly play a significant role in the future of cloud computing.