Commission calculation hardware to optimize darwin

How We’ve Enhanced Commission Calculations to Improve Performance

At AccountTECH, we’re always finding ways to make our applications faster and more efficient. One area we’ve focused on is how our system calculates commission deductions for properties. These calculations can be complex, as every client has unique formulas that need to be applied for accurate results.

To ensure these calculations are performed as quickly as possible, while keeping darwin.Cloud, running smoothly, we’ve redesigned our architecture for commission deduction calculations. Here’s how it works:

The Challenge: Complex Calculations and Resource Demands

In the past, commission calculations were performed directly on darwin.Cloud's primary production server, which also handles all other software tasks like managing user data and processing API requests. This created challenges:

• Resource Contention: Complex calculations consumed CPU and memory, impacting the performance of other tasks.
• Long Processing Times: Calculating multiple deductions for a single property slowed down the overall process, especially during busy periods.

The Solution: A Dedicated Commission Calculation Server

To overcome these challenges, we’ve implemented a dedicated server exclusively for commission calculations. Here’s how it works:

1. Asynchronous Processing with Kafka:
   • When a property requires commission deductions to be calculated, the data is sent to a Kafka queue.
   • This queue ensures that the calculations are handled asynchronously, without affecting the performance of the primary application.
2. Multi-Threaded Calculations:
   • The dedicated server processes calculations using multiple threads, allowing many calculations to be performed simultaneously.
   • This significantly reduces the time required to update the table with all deductions for a property.
3. Offloading Work from the Production Server:
   • By moving the calculations to a separate server, we free up the production server’s CPU and memory to focus on its primary functions, like handling user requests.
4. Fast and Reliable Updates:
   • Once the calculations are completed, the results are saved back into the commission deduction table, ready for reporting and analysis.

The Benefits for You

This new approach offers several clear advantages:

1. Faster Commission Calculations:
   • Multi-threading on a dedicated server ensures that commission deductions are calculated quickly, even during peak periods.
2. Better Application Performance:
   • With the production server no longer handling these calculations, darwin.Cloud remains fast and responsive for all users.
3. Scalability:
   • As the number of properties or complexity of formulas increases, our system can easily scale to handle more calculations without slowing down.
4. Enhanced Reliability:
   • By using a dedicated server and asynchronous processing, we’ve built a system that is not only fast but also robust and reliable.

Why This Matters

For businesses, time is money. By optimizing how we calculate commission deductions, we’ve created a faster, more efficient system that ensures accurate results without compromising the performance of darwin.Cloud. At AccountTECH, we’re committed to providing innovative solutions that keep your business running smoothly.

This is just one of the many ways we’re leveraging technology to deliver better performance, reliability, and value for our users.

Project analysis: Using a dedicated Commission calculation server and KAFKA

1. Improved Performance Through Multi-Threading:
   • Using a dedicated commission calculation server with multi-threaded processing significantly increases the speed at which calculations are performed.
   • By leveraging Kafka for managing the calculations as asynchronous tasks, you gain scalability and ensure smooth processing even during peak loads.
2. Reduced Load on the Production Server:
   • Offloading the computationally intensive commission calculations lightens the workload on the darwin.Cloud production server.
   • This ensures the production server’s resources (CPU and memory) are focused on critical tasks such as handling user requests and running the API efficiently.
3. Dedicated Server for Resource-Intensive Tasks:
   • By isolating commission calculations on a dedicated server, you eliminate resource contention between the calculations and the darwin.Cloud's primary operations.
   • This keeps the commission calculation process from needing to compete for resources with all the rest of the darwin API end points.
   • This leads to both faster commission calculations and a smoother experience for users interacting with the application.
4. Scalability:
   • Kafka’s distributed architecture ensures that the system can handle increasing volumes of calculations by adding more threads or servers as needed.
5. Improved User Experience:
   • Faster calculations and a responsive production server translate to a better experience for end-users, reducing wait times and ensuring smooth operation.