Hemiko, a leading industrial company in the United Kingdom, needed a strategic partner to overcome critical application performance challenges. Faced with inefficiencies that threatened their growth and profitability, Hemiko required a comprehensive solution to optimize their infrastructure, and enhance reliability.
Solution Highlights
• Deep analysis of application–infrastructure interactions.
• Optimized database configuration.
• Scaled worker node storage to speed up data processing.
• Balanced compute resource allocation to eliminate CPU throttling.
• Implemented targeted cloud infrastructure optimizations.
Hemiko specializes in designing, building, and operating bespoke district energy networks for new and existing developments.
The company struggled with a laggy, inefficient application that led to financial losses and became a major growth bottleneck. To overcome this, Hemiko needed to optimize and properly configure the system to ensure smooth performance and reliable results.
Initially, an unstable relational database – due to misconfigured burst credits and baseline performance limits – caused frequent application stalls and resource throttling.
Solving this issue stabilized performance but unveiled another problem: overqueued worker nodes, which led to significant data latency. By tackling this bottleneck, substantial improvements in data processing speed were achieved.
However, further investigation revealed an additional issue: an overworked central processing unit (CPU) caused by poorly set process limits, leading to frequent performance throttling.
Overcoming these hurdles was crucial to ensuring uninterrupted application functionality and upholding Hemiko's service standards.
With our DevOps experts, you'll optimize your infrastructure, boost efficiency, and cut costs. Contact us today to drive your business forward.
The project initially began with code optimization. Following this, our expert team delved deeper into the application's underlying Cloud infrastructure to enhance its performance. Here are the solutions we proposed:
A complete DevOps toolset for precise analysis of the dialogue between the application and the infrastructure.
Altered RDS settings to enhance database baseline performance.
Scaled up storage for worker nodes to speed up data writing.
Optimized the Completely Fair Scheduler (CFS) to distribute compute time more evenly.
The project started with a simple code optimization. Then, our expert team moved deeper into the application’s underlying Cloud infrastructure to improve its performance. Here are some of the key results we have achieved.
• Improved application performance by over 1,000% in critical areas.
• Reduced monthly cloud costs by 40% through infrastructure optimization.
• Cut processing time from 24+ hours to just 2 hours (1,100% improvement).
• Boosted database baseline performance from 2,000 to 6,000 IOPS.
• Reduced average data write time by 635%, what drastically improved responsiveness.
• Shortened time of queuing by 807%.
Leverage the skills of our DevOps experts to optimize your infrastructure and lower your costs. Let’s talk today about how we can help your product.
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