The project is for a client The client is a popular Robotics company in Tokyo, Japan, working on chatbot commerce, allowing its customers to sell their products through chatbots like LINE Messenger and social media apps like INSTAGRAM. They are keen to innovate modernised solutions like chatbots, robots which will digitize Japan’s customer service and hospitality for different domains.
They were keen to comprehensively test their existing as well as new applications being built. They wanted a thorough process that could include a variety of testing like manual testing, automation testing, gRPC/API testing, functional testing & performance testing.
The client wanted end-to-end testing of their chatbot applications. It was difficult to run tests using K6 tool, run large-scale performance tests independently without involving development teams and test gRPC Microservices & automate it.
As an experienced and leading software testing and quality assurance company, we proposed an end-to-end testing strategy with associated, modern testing tools and technologies for all their applications, be it new or existing ones. We were responsible for manual testing, automation testing, gRPC/API testing, functional testing & performance testing.
We learnt K6 tool quickly and created automated scripts using K6 which were used for smoke testing of existing modules. We suggested to use Apache JMeter as a performance testing tool and carried out multi-regional distributed performance testing, identified bottlenecks & reported it to the development team.
We used the JMeter tool & its plugins to load the protobuf files of gRPC Microservice and to test the gRPC Microservices. We created Docker scripts that can setup a JMeter distributed environment with one master & desired number of slave instances, execute the scripts & generate the result files. We created a Kubernetes cluster of JMeter for distributed performance testing which can dynamically scale the slave instances based on load
Invitation and insight
Our solution enabled the business to achieve the following benefits:
Reduced operational costs
High speed resolution of queries
Enhanced product quality and performance
Increased client engagement
Automation of tasks
Higher reliability, security, and scalability
Early identification of gaps and timely rectification
Successful and timely execution