How SmartCity London Benefitted From Rust Implementation?
Overview
SmartCity London is a leading technology company dedicated to transforming London into a more sustainable, efficient, and livable city. By leveraging cutting-edge IoT devices and advanced analytics, they aim to optimize urban resources, improve citizen experiences, and address pressing challenges such as traffic congestion, energy consumption, and environmental pollution.
Technical Stack
Industry
Smart City Technology and Urban Planning
Region
London
Project Size
Non- Disclosable
Highlights
Real-time traffic management
Waste management optimization
Public safety management
Energy efficiency
Challenges & Solutions
The company faced interpretation challenges for the data generated through IoT sensors installed in the smart city. Besides, they wanted a system to process and analyze the data rapidly.
- Solution: Our Rust developers utilized Rust for safety guarantees and an efficient concurrency mechanism, which boosted real-time analytics performance and delivery.
The client wanted a system that is highly reliable and resilient to failures. Any downtime or data loss can significantly affect city operations and citizens' well-being.
- Solution: We provided them with memory safety, which, by detecting and preventing common programming errors, contributes to building more robust and reliable systems. SmartCity London implemented rigorous testing and quality assurance practices to ensure the platform's fault tolerance, minimizing the risk of unexpected failures.
The analytics platform must scale seamlessly to accommodate the growing workload without compromising performance.
- Solution: efficient memory management and concurrency primitives allow for highly scalable and performant application development. SmartCity London designed the platform with a modular architecture and utilized techniques like asynchronous programming to optimize resource utilization and handle increasing data volumes.
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Years of Business
Experience
Happy
Customers
Countries with
Happy Customers
Agile enabled
employees
Core Features
- Advanced analytics
- Integration with existing city infrastructure
- Real-time data fetching
No. of Developers
04
Time Frame
May 2023 - March 2024
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