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Increasing the scalability of a cloud-based system for IoT products

Client
Confidential
Business area
IoT
GEOGRAPHY
USA

Technology set

  • Infrastructure: AWS (S3, EC2, ECS, Fargate, Lambda, RDS Aurora, DynamoDB, DocumentDB, SNS, SQS, CloudWatch, CodeBuild, CodeDeploy, CodePipeline, Cognito, API Gateway, Route 53, CloudFront)
  • Supported programming languages: JavaScript (Node.js, React.js)
  • Tools and services: Docker, ELK, Jenkins
  • Databases: MySQL, MongoDB, RabbitMQ

Clients
background

The client provides network connectivity for IoT products and operates all over the world.

Business
challenge

Our customer had a cloud based solution for IoT product connectivity – a high-load application with a microservice architecture.
With the significant increase in the number of IoT products, the pressure on the cloud system resources has also increased, and the client required system optimization.

Solution

We contributed to the design of the cloud system for IoT products. Our engineers joined an in-house team and implemented improvements for the cloud system– we carried out system optimizations, increasing the number of requests per minute and the potential for immediate cloud scalability.

Value delivered

  • Customer saved up to 30% of expenses while decreasing the number of servers
  • The cloud system became more scalable and thus ready for the anticipated significant and rapid increase in the number of connected IoT products
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