Development of clashstreet mobile application
The application also needed to handle high volumes of real-time data, which was addressed through Memcached and Redis for caching, and Celery for task scheduling. Docker was used for containerization, ensuring seamless deployment across environments, while Git provided version control. Additionally, the REST API was integrated for external communication, and Swift was utilized for the mobile version of the platform. This comprehensive stack ensured the platform's robustness and performance.
- Aug. 18, 2016
Task
The task involved developing a dynamic platform that allows users to place speculative bets on the fluctuation of stock prices across global stock exchanges. This required building a reliable, scalable system using Django/Python as the backend framework, along with SQL and PostgreSQL for efficient data handling. The infrastructure was deployed on Linux servers, and the front-end needed to be interactive and responsive, which was achieved through HTML, CSS, Bootstrap, and JavaScript frameworks like jQuery and Angular.js.
Solution
The application allows you to bet on the growth/decline of stock quotes from stock exchanges around the world. The application is implemented in Django/python, SQL, PostgreSQL, Linux, HTML, CSS, Bootstrap, Memcached, Docker, Git, Redis, Celery, Javascript, jQuery, Angular.js, Java, REST API, Swift
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