Our client, an energy company called Winder, needed to enhance the security and operational efficiency of its critical facilities. Computools assisted in developing a customised system that performs real-time calculations, integrates various devices, and uses advanced algorithms for predictive analysis. This solution elevated the client’s safety standards and improved operational efficiency.
The client builds and maintains dedicated systems that secure critical facilities and systems. It operates on a global level.
The main challenge was to provide accurate calculations to meet security standards in large physical facilities. Existing systems were complex, with many customisations, and often required expert investigations as they could not perform real-time calculations. Connecting various modern devices into a single network posed information sharing and communications challenges.
Computools solved these problems by creating a customised system that can handle energy-related devices and use the latest algorithms to predict events and make intelligent decisions in different situations. This system can also predict how devices can be better placed and configured to work better in terms of performance and safety. With this approach, the level of security and performance of large physical facilities has improved. It is now possible to meet security standards more confidently and allocate resources.
The system improved the level of security in large physical facilities, which was critical for a client working in secure systems. It allowed for more reliable compliance with security standards and timely response to potential threats.
The solution also clarified and improved resource management. Resource allocation optimization became more accurate and data-driven, increasing operational efficiency and ultimately reducing costs.
The choice of Computools to carry out the project was justified by several key factors:
The main design goal was to visually present information about the project, make it understandable and attractive to the target audience and create a positive visual perception of the company and its product.
Creating detailed user profiles for design guidance.
Structuring the website's layout and navigation.
Drafting visual layouts for web page design.
Crafting the interactive elements of the website.
Java
Java was chosen to build the system's foundation due to its robustness and efficiency. It enables fast data processing and facilitates the development of powerful algorithms essential for handling the system's complex calculations.
Golang
GO was utilised for parts of the system where high performance and scalability were crucial. Its efficiency in handling concurrent tasks and its strong support for parallelism made it suitable for components requiring rapid processing and scalability.
Angular
Angular was selected to develop the system's front end to ensure a great user interface and easy navigation. Its comprehensive framework offers features like two-way data binding and modular development, enhancing the user experience.
Flutter
Flutter was employed to develop mobile applications, enabling customers to access the system seamlessly on their mobile devices. Its cross-platform compatibility and fast development cycle ensured efficient mobile app deployment.
C++
C++ was used for specific tasks related to optimisation and performance, particularly for critical system parts. Its low-level capabilities and efficient memory management enhanced the performance of these components.
Docker
Docker was chosen to package applications and their dependencies into containers, simplifying deployment. Its containerisation approach ensures consistency across different environments and streamlines the deployment process.
Kubernetes
Kubernetes managed these containers, providing load balancing and fault tolerance. It facilitates rapid deployment and efficient management of containerised applications across multiple environments, ensuring scalability and reliability.
PostgreSQL
PostgreSQL was selected as the database solution due to its structured and reliable storage capabilities. Its support for complex queries, data integrity, and scalability made it suitable for storing structured data efficiently.
MongoDB
MongoDB stores unstructured data, providing flexibility and scalability. Its document-oriented data model and distributed architecture allow for the seamless handling of unstructured data, which is essential for certain aspects of the project's requirements.
Scrum was chosen for the project because it provides regular reviews and feedback, enabling the team to improve performance in practice. Scrum also supports the involvement of experts and stakeholders by ensuring their participation in the development. Changes and updates to the project are easier to manage using Scrum, as it provides a flexible, iterative development model.
We are very pleased with the results of the Winder project. Computools’ team of experts was able to understand our complex needs.
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