Expertise Specialist Industries
Insights
FAQ's
Get a Free Quote
Technologies Involved:
DEVOPS
Area Of Work: Machine Learning
Project Description

A growing software company focused on digital transformation sought to automate backend testing for its cloud-native applications. With increasing workloads and distributed systems, the client needed a serverless solution that could test, track, and respond to API failures instantly. Oodles designed with a robust cloud architecture to meet these goals using AWS-native services.
Scope Of Work

The project aimed to eliminate manual API testing by building an automated, scalable backend monitoring solution. The client required API test execution, real-time error tracking, serverless workflows, and event-driven reporting. The solution covered automation scripting, Lambda integration, logging via CloudWatch, and message handling through SQS and DLQ.
Our Solution

The system was designed using AWS services to deliver a scalable and fault-tolerant backend testing environment. Its focus was on elasticity, high availability, and cost efficiency.

Key Implementations:

  • ReadyAPI was used to build comprehensive test suites for API validation, performance testing, and error simulation.
  • Test outputs triggered AWS Lambda functions via automated rules—enabling a quick, serverless response to test results.
  • Amazon CloudWatch captured and monitored logs, performance insights, and error patterns in real time, improving test visibility.
  • Amazon SQS managed test event queues, ensuring asynchronous message delivery without bottlenecks.
  • Dead Letter Queue (DLQ) captured failed or undelivered messages for retries and debugging.

Related Projects

aiShare Your Requirements