FinTech Leader Saves Over $3M/Year on SaaS Operations

Opsani delivers for our customers

AI for Continuous Optimization delivers 12% performance boost and 68% savings

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Year Savings on SaaS Operations

Opsani was engaged after a large FinTech firm completed the lift-and-shift of a major financial SaaS application to the cloud. Within the quarter, Opsani’s AI continuous optimization system — Optune, was integrated and produced efficiency improvements comprised of both increased performance and reduced cost. As a result, the customer saved millions per year and achieved a positive ROI in the same quarter. Opsani AI is now integrated with the CI/CD system to deliver continuous optimization.

The Company provides SaaS financial management solutions. The App involved has over three million active users. After a successful transition to cloud, The Company reduced idle servers and could elastically provision resources. During the shift, they also completed a fully automated DevOps toolchain and CI/CD pipeline.

The Challenge

Although the shift to cloud was successful, performance and costs did not meet expectations, even after performance tuning by the Company’s DevOps team. Plus, new releases were frequently delayed to determine resource settings for adequate performance. Engineers were looking to:

  • Improve performance predictability
  • Determine efficient resource settings
  • Optimize Java performance
  • Protect or improve user experience
  • Expedite new releases

The Opsani Solution

The first step for the engineers was to define a measurable performance unit — response time at a fixed load was established as the performance metric to be optimized. Throughput and error counts were also monitored to bound the solution set. Opsani added plugins to integrate with the current CI/CD system so it can collect data from existing monitoring tools, detect changes and feed resource and configuration parameters into the SaaS service for optimization.

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Performance Increase
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Cost Reduction

Next, Opsani had to calibrate and analyze the measurements from the monitoring systems over time, to ensure the AI could achieve optimization. After reviewing the first few passes, it was necessary to compensate for variability in performance measurements (noise cancellation) and filter for errors introduced by upstream systems interacting with the app. Without this data conditioning, the AI would produce suboptimal results. With the setup complete, optimization began. In the first run, Opsani adjusted only JVM parameters. In just a few days, the system was able to boost performance by 10 percent. The team then began a more expansive optimization run. Using AI, Opsani automatically selected, tested and tuned resource parameters including combinations of memory, CPU, and instance count to optimize for best efficiency.

opsani fintech case study 2
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Better Efficiency

Results

In less than a week, the system autonomously ran numerous tests and produced compelling results. By automatically adjusting resource parameters across the full application stack, Opsani AI identified configurations to achieve the Best Performance, Lowest Cost and Best Efficiency. Ultimately, The Company chose the most efficient configuration, boosting efficiency 232 percent, saving $3.5M annually on cloud infrastructure and improving performance by 12 percent. In addition, performance is now consistent which improves the user experience. With Opsani’s AI Continuous Optimization integrated into their CI/CD toolchain, the Company has now implemented automated continuous optimization for all future releases. As they prepare to update their middleware libraries, the Opsani AI is integrated, CI/CD/CO. This gives them confidence that their application will run at the best efficiency possible.

Benefits

After engaging with Opsani, the Company achieved positive ROI in the same quarter the project started and is now saving millions in cloud spend annually.

Positive ROI was achieved in the same quarter the project started.

The customer gained control over cloud cost and increased the time to market for added features which delivers both top and bottom line growth to their business.

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