Real Life Examples of Serverless Framework Deployment

Deploying applications with the Serverless Framework in 2024 is a powerful way to build and manage serverless architectures and of course we have seen some of the real life examples of it’s being used around us everywhere which we do not realize. Many popular companies like BMW, Coca Cola and others have been using serverless apps for years which we have discussed in this post and that you should read thorough and thorough if you are interested in it especially for your new projects in 2025. Let’s dive into the process and explore how you can get started. Let’s see below there are some real-world examples of deploying serverless apps using the Serverless Framework in everyday which we have not realized.

(I) Coca-Cola’s Smart Vending Machines

Coca-Cola implemented a serverless architecture to enhance their vending machines. By integrating IoT sensors and leveraging serverless functions, they improved inventory management, monitored machine health, and optimized restocking schedules. This allowed them to provide a better customer experience and reduce operational costs

(II) Equinox Media’s Serverless Infrastructure & Analytics

Equinox Media, the company behind the fitness platform Variis, adopted serverless for their backend infrastructure. They used AWS Lambda, API Gateway, and other managed services to handle user authentication, data processing, and analytics. This approach allowed them to scale seamlessly during peak usage and minimize infrastructure management overhead

(III) Major League Baseball Advanced Media and Real-Time Data Updates

MLBAM leveraged serverless for real-time data updates during baseball games. By using AWS Lambda, they processed live game data, player statistics, and scores. The serverless architecture allowed them to handle sudden spikes in traffic during critical moments, ensuring fans received up-to-date information without any hiccups

(IV) BMW Event-Driven Analytics

The very popular and globally recognized car brand, BMW utilized serverless functions to process event-driven data from their connected vehicles. By integrating AWS Lambda with other services like Amazon Kinesis and DynamoDB, they analyzed telemetry data, monitored vehicle performance, and triggered alerts for maintenance or safety issues

(V) Autodesk’s Fast App Development & Deployment

Autodesk, a software company, adopted serverless for rapid application development. They built microservices using AWS Lambda, API Gateway, and DynamoDB. This approach allowed them to iterate quickly, deploy updates seamlessly, and focus on delivering value to their users

(VI) Dynamic and Responsive Slack Chatbots

Many organizations use this one too, in order to create chatbots that interact with users on platforms like Slack. By combining AWS Lambda with natural language processing services, companies can build intelligent chatbots that respond dynamically to user queries, automate tasks, and provide personalized experiences

(VII) Netflix’s Scalable On-Demand Media Delivery

Netflix relies on these types of architectures for parts of its content delivery pipeline. By using AWS Lambda, they handle thumbnail generation, video transcoding, and other media-related tasks. The serverless architecture allows them to scale efficiently based on demand, ensuring smooth streaming experiences for millions of users

(VIII) IDEXX’s Data-Driven Clinical Decision-Making

IDEXX, a veterinary diagnostics company, uses serverless for data processing. They process lab results, patient records, and diagnostic data using AWS Lambda and other services. This approach approach enables them to make informed clinical decisions faster, improving animal care.

These examples demonstrate the versatility and benefits of this architecture across various industries and use cases. Whether it’s optimizing vending machines, analyzing real-time data, or enhancing user experiences, it provides an efficient and scalable solution for modern applications. If you’d like to explore more detailed case studies, I recommend checking out the Serverless Examples repository on GitHub.

Here is How To Proceed With Installing Serverless

Setting Up Your Environment: Before deploying anything, you’ll need an AWS account. If you don’t have one, create an account on the AWS website and ensure it’s fully verified. AWS is a popular choice for these types of deployments due to its robust services like AWS Lambda, API Gateway, and more.

Installing the Serverless Framework: The Serverless Framework is an essential tool for managing serverless applications. To install it, make sure you have Node.js and npm (Node Package Manager) installed. If not, you can download them from the official Node.js website. Once you have Node and npm, install the Serverless Framework globally using the following command:

npm install -g serverless
  • Creating Your First Service – Now, let’s create your first service. Open your command line interface (CLI) and run:

    This will start a wizard-like process to help you bootstrap a new service. Choose the template type (e.g., “AWS – Node.js – HTTP API”). You can name your service or keep the default. The Serverless Framework will create a new folder with the chosen template.

  • Serverless Dashboard (Optional) – The Serverless Dashboard is a helpful tool provided by the framework. It simplifies managing connections to AWS, configuration data, monitoring, and log reading for Lambda functions. During the setup, you’ll be prompted to log in or register for the Serverless Dashboard. It’s free for single developers and makes managing AWS connections easier.
  • Writing Your Serverless Configuration (serverless.yml) – The heart of your serverless application lies in the serverless.yml file. This YAML file defines your service, functions, events, and other resources. You’ll specify your AWS resources, such as Lambda functions, API Gateway endpoints, and DynamoDB tables, in this file.
  • Defining Your Functions and Events – In serverless.yml, define your Lambda functions and their associated events. For example, you can create an HTTP API endpoint that triggers a Lambda function when a specific route is accessed. Specify the runtime (Node.js, Python, etc.) and any environment variables needed.
  • Deploying Your Service – Once your configuration is set up, deploy your service using
serverless deploy

That’s but in any case if you are of the mind that you want and are interested in learning about deploying serverless apps with Next.js and Vercel, there’s a great post already written here. It dives into practical examples and showcases how Next.js and serverless can work together effectively. Feel free to explore these resources, and if you have any specific questions or need further details, feel free to ask!