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Project Overview

The project is for a client. The client is a popular Robotics company in Tokyo, Japan, specializing in chatbot commerce. This allows its customers to sell products through chatbots like LINE Messenger and social media apps like Instagram. They are keen to innovate modernized solutions like chatbots and robots, which will digitize Japan’s customer service and hospitality across various domains.

They were keen to test both their existing and new applications, which were being built comprehensively. 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. Running tests with the K6 tool was challenging, particularly when conducting large-scale performance tests independently without involving development teams or automating gRPC Microservices.

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, whether new or existing ones. We were responsible for manual testing, automation testing, gRPC/API testing, functional testing & performance testing.

We quickly learned the K6 tool and created automated scripts using K6, which were used for smoke testing of existing modules. We suggested using Apache JMeter as a performance testing tool and carried out multi-regional distributed performance testing, identified bottlenecks & reported them to the development team.

Key Components of Software Solution
  • Channel management
  • Automation rule
  • User analytics
  • Create broadcast/broadcast list
  • Accounts, users, groups
robotics-company-work

Core Features

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

Key Inclusions

Invitation and insight

Item management

Scenario editor

Form automation

Screens

Technologies And Platform We Use

k6 logo
K6
JMeter-Logo
Apache JMeter
Docker-Logo
Docker
Kubernetes-Logo
Kubernetes
grpc logo
gRPC

Business Benefits

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

Let’s get in touch!