Services
Big Data & Analytics, IoT
Industries
E-commerce & Retail, Hi-Tech Devices
Product
Our US-based client is a global conglomerate that is set out to reach every corner of the world thanks to its solutions in e-commerce, cloud computing, digital streaming, and AI. Besides being an e-commerce game-changer, our client develops new technology aimed at delivering cargo via drones. While this project significantly boosts customer satisfaction and delivery speed, it requires robust analysis of data collected by cameras installed in the drones, which is a semi-manual effort.
Business needs
- Create software from scratch to automate the distribution of work between Data Analysts in the conditions of the existing infrastructure and business in the company.
- Automate task flow in the process of receiving/processing daily photo/video data from drones.
- Quickly develop and implement a brand new automation software solution based on the existing infrastructure and other business processes.
- Explore new approaches to data processing and convenient data visualization for Data Analysts.
Suggested solutions from svitla
- Implemented a microservices architecture using Java, enhancing performance and scalability.
- Utilized AWS services like Lambda, SQS, and ECS, along with DynamoDB and ElasticSearch, to ensure efficient, serverless computing and data management, substantially improving backend operations.
- Successfully developed a dynamic and responsive user interface using React, HTML, CSS, and JavaScript.
- Integrated internal UI/UX libraries, ensuring a seamless and engaging user experience across various platforms and devices.
- Leveraged a range of AWS services including EC2, CloudWatch, SQS, S3, SNS, and CloudFront.
- This strategic use of cloud computing not only facilitated scalable and flexible solutions but also contributed to significant improvements in operational efficiency.
- Utilized Docker for containerization, which streamlined application deployment and resource utilization.
- Employed DynamoDB and S3 for database solutions, achieving high scalability and performance in data storage and management.
- Integrated existing microservices and APIs to automate manual steps in data processing.
- This approach maximized efficiency, reduced the environmental impact, and optimized the use of resources across various projects.
Technologies
Backend: Java, SQS, AWS Lambda, ECS, AWS SDK, DynamoDB, ElasticSearch
Frontend: HTML, CSS, JavaScript, React, Internal UI/UX libraries
AWS Services: AWS EC2, Lambda, Cloudwatch, SQS, Elasticsearch, S3, SNS, CloudFront
Containers: Docker, ECS
Database: DynamoDB, S3
Value delivered
- In a few months, Svitla team managed to automate critical manual processes that traditionally required a significant amount of manual effort and resources.
- Vital reduction of working time thanks to the full integration of existing resources as opposed to completely rewriting resources.
- Uniform and leveled workload distribution between Data Analysts.
- Brand new data processing and visualization system for Data Analysts.
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