Real-time vehicle health conditions and repair estimation leveraging Computer Vision and Machine Learning technologies
About the Client
Founded in 2019 and launched in South Africa, Carscanis a mobile app that is the first of its kind in the motor industry.It uses computer vision and machine learning to scan vehicle damages and provide real-time vehicle health conditions and repair estimates.
1000 requests per second
Fast, accurate, and secure application
Reduced downtime post-implementation
Highly Available Workloads
The client needs a focused, fault-tolerant HA (Highly Available) application hosted on AWS Cloud to scale their business. The current monolithic application impacted the e-commerce application that faced severe downtime (about 3-5%) and negatively affected the user experience. They approached CloudThat to enable DevOps in their organization and introduce automation to reduce manual interferenceby leveragingthe cloud.
Migrate the application services running on AWS EC2 to AWS EKS and leverage Microservices architecture using DevOps best practices.
Dockerize all the JAVA applications for storing and hosting them on AWS ECR and Amazon EKS.
Automate build and deployment of their Java application using Jenkins
Auto Infrastructure deployment by Terraform
Enable Multiple environment strategies (dev, staging, prod) with Continuous Integration and Continuous Delivery.
Kubernetes configuration management automation
Enabling Helm charts for Application Management for Kubernetes
Leveraging the power of Amazon CloudWatch and Prometheus for Monitoring and logging applications.
Successfully incorporated microservices with best DevOps practices. Fast, accurate, and highly available(99.9%), secure application for high customer traffic on the application, which can support up to 1000 requests per second.