Maximize Technical Cost Reduction with Smart Omptimization Strategies

Managing technical costs can be tough. Without a solid plan, your cloud bill can quickly spiral out of control. In this article, we’ll show you how switching to serverless architecture and using functional programming can help your business reduce costs and scale smoothly—even during high-traffic times.

Read on and learn how our optimization services can cut your expenses by up to 60%!

Transitioning to Serverless for High-Traffic Systems

Today, stability and scalability are essential. If your system can’t handle the load, you risk crashes and missed opportunities. This is where serverless comes in.

• The research projects that from 2021 to 2028, cloud-based apps will grow at a CAGR of 17.5%. Managing this growth depends on scalability, which also ensures high performance.
• The same study reveals that under high loads, systems with little scalability may suffer up to a 50% performance decline.
• Other research shows that serverless computing may save operating expenses by up to 70% compared to typical server-based architectures. They can also handle 70% demand growth and reduce time-to-market by up to 50%.

We recently reworked a Node.js backend using AWS Lambda functions to better handle traffic spikes during marketing campaigns.

Project goals: We needed to build a backend that could manage high volumes of traffic, especially during peak times like marketing campaigns. The old server just couldn’t keep up.

Challenges We Faced

• Increasing traffic. Campaigns caused huge spikes in traffic.
• Scalability issues. The old setup couldn’t scale quickly enough.
• Slow response. Even after optimizing, the Node.js server struggled to handle peak traffic.

The Switch to AWS Lambda

AWS Lambda was a game-changer. It automatically scales the backend during traffic spikes without needing us to maintain expensive servers. One of its best features is autoscaling, which kicks in when requests increase. This means our system can handle more traffic without us having to pay for unused resources during downtime.

How It Works

• Event-based scaling. AWS Lambda runs functions in response to events like HTTP requests.
• Efficient resource use. Lambda cost optimization is high, as you only pay for what you use, saving money on idle resources.
• Seamless integration. We also used services like S3 and DynamoDB, ensuring our data is always available and the system scales effortlessly.

Functional Programming for Better Performance

We didn’t just switch to serverless. We also moved from object-oriented programming (OOP) to functional programming (FP). This change made our code easier to manage and scale. Functional programming focuses on stateless functions and immutability, making systems easier to test and optimize.

Why Functional Programming Helped

• Immutability. Data stays the same, reducing bugs.
• Simplified logic. With stateless functions, Lambda runs smoother, and the code is easier to maintain.
• More reliable. Pure functions with no side effects improve reliability.

Case Study: Handling Millions of Requests in an Hour

Running a big marketing campaign can flood your system with traffic, like a mini-DDoS attack. Before, our server couldn’t handle it and would crash. After switching to serverless and functional programming, things changed dramatically:

• Real-time processing. We handled all requests with zero downtime.
• Auto-scaling. Lambda scaled to manage millions of requests per hour while keeping response times steady.
• Cost savings. We no longer needed powerful servers running all the time, cutting our infrastructure costs by a huge margin.

Technical Cost Optimisation: Saving Money While Staying Efficient

Saving money was another big win. Before, we had fixed servers running around the clock, even when traffic was low. After moving to Lambda, we saw a 60% reduction in costs by only paying for what we used.

• 60% cost cut. Lambda’s pay-as-you-go model significantly lowered our cloud bill.
• Environmentally friendly. We no longer overprovision resources, reducing waste.

We also worked on a case where we were able to achieve over 83% cost optimization by providing a complex solution that included database load reduction, utilizing Angular for front-end development, and Java with Spring for back-end services. We also managed databases with MS SQL and incorporated cloud cost optimization, which led to the lowering of AWS expenses to $2,000 per month instead of $12,000.

Final Thoughts

Switching to a serverless architecture combined with functional programming helped us build a scalable, reliable system that easily handles high traffic. If your business deals with traffic spikes and high bills, serverless could be your answer. And if you need experienced specialists, drop us a line here.

By Dmytro Romaniuk

CEO & Founder

Oct 16, 2024

Share this article

• 
• 
•