MVP development for Industrial IoT including the creation of UI/UX, dashboard, reporting, and notification system. The application collects data from temperature, vibration, and noise sensors in factories and plants and displays the information on dashboards for operators
We managed to implement:
- Development of an MVP version of the application with data flow
- Cost optimization to improve the existing AWS architecture
- Automation of release process, customization of individual development environments, completely modular and automated test coverage, commitment to quality
Technology: ReactJS, Redux, Node.js, AWS (IAM, Cognito, Lambda, API Gateway, CloudFormation, CloudWatch, AWS IoT, DynamoDB, ElasticSearch, Firehose, Kinesis, Greengrass, S3, EC2, SNS, SES), Kibana, Skedler, PhantomJS, Canvas.js, Serverless, Travis CI/CD, Zephyr, Allure, TestNG, Selenium, Java Core