Memory Optimization & Performance Enhancement
Reduced memory usage by 50%, optimized data structures, and partitioned data for better scalability.
A case study of how VKTechno Solutions helped a logistics company defend and scale its cargo tracking system.
Explore Case StudyMemory Usage Reduced
Server Uptime Achieved
System Performance Boost
DDoS Attack Mitigated
The Cargo Tracking System of a leading logistics company faced critical issues — from memory inefficiencies and server crashes to a severe DDoS attack. VKTechno Solutions optimized the system with modern technologies, ensuring security, performance, and scalability.
Inefficient memory usage caused system crashes and slowdowns.
Poor connection pooling caused unstable infrastructure.
Legacy code led to high CPU usage and GC errors.
Inconsistent filtering of valid/invalid requests.
Malicious traffic overwhelmed the system.
Reviewed and optimized data structures, introduced static allocation, and partitioned data across multiple machines to reduce memory usage.
Implemented efficient connection pooling and caching mechanisms to optimize performance and minimize network overhead.
Adopted the latest Spring Framework for better CPU efficiency, garbage collection, and scalability, reducing out-of-memory risks.
Redesigned request tracking to reset valid/invalid counts hourly and included captcha validation for improved accuracy.
Deployed advanced DDoS protection using rate limiting, geo blocking, and real-time traffic monitoring tools to safeguard system availability and reliability.
The client operates in the logistics and cargo tracking industry, offering advanced tracking solutions to monitor and manage cargo shipments in real time. Their system provides valuable insights into cargo status, location, and progress throughout its journey, helping businesses maintain transparency and efficiency in their operations.
The client handles a significant volume of cargo, tracking millions of shipments on a daily basis. They have built a robust network that connects warehouses, transport hubs, and various stakeholders involved in the logistics process, ensuring a seamless cargo tracking experience for all users.
High memory usage and slow system performance caused frequent crashes.
Unstable server infrastructure led to unexpected downtime.
Legacy systems caused inefficiency and scalability problems.
Weak defenses exposed the system to cyber threats.
Incorrect data tracking affected operational insights.
As always, clients grow with you!
Reduced memory usage by 50%, optimized data structures, and partitioned data for better scalability.
Improved connection pooling and caching, increasing uptime to 99.9% and reducing crashes by 70%.
Upgraded to latest Spring Framework, improving processing speed by 40% and reducing CPU usage by 30%.
Implemented rate limiting and real-time monitoring, reducing breaches and outages by 90%.
Redesigned validation mechanism, improving data accuracy by 95% and reducing reporting errors.
Implemented architecture improvements supporting 50% capacity increase to handle future demands.
Detailed stakeholder discussions and KPIs defined to identify bottlenecks.
Scalable architecture designed incorporating caching and security strategies.
Implemented caching, CAPTCHA, and traffic control mechanisms effectively.
Load and security testing ensured robustness under peak traffic conditions.
Seamless deployment with real-time monitoring enabled for performance.
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