SkyToll — Automation of Selenium Grid Environment Setup

For SkyToll, we moved testing from a single Selenium instance to a scalable Selenium Grid on MS Azure — fully automated with Infrastructure as Code, and capable of running tests in parallel.

About the Project

For SkyToll, we designed and implemented a transition from a single Selenium instance to a scalable Selenium Grid. The project involved designing a distributed architecture on MS Azure, creating automated scripts for deployment using an Infrastructure as Code approach, and migrating existing PHP test scripts from a single-instance to a parallel grid environment.

Current State (AS-IS)

• Testing was performed in a single Selenium instance with sequential test execution
• Limited testing capacity without parallelization capability
• Lack of scalable infrastructure for distributed testing
• Dependency on a single test node without redundancy

Implemented Solution

• Distributed platform — transition to Selenium Grid with parallel testing capability
• Infrastructure as Code — automated scripts for reproducible deployment of the entire grid infrastructure
• Test parallelization — transformation from sequential testing to parallel execution
• Cloud-native approach — utilization of Azure services for optimal scalability

Technical Solution

Deployment and infrastructure

• Cloud-native solution — deployment on MS Azure
• Automated deployment — Ansible scripts for fully automated grid infrastructure creation
• Scalable architecture — hub-node topology enabling dynamic addition of test nodes
• Parallel execution — concurrent execution of multiple tests across nodes

Integrations and tools

• Selenium Grid — central coordination of distributed testing instead of a single instance
• PHP scripts — migration of existing test scripts to the grid architecture with parallelization support
• MS Azure — cloud platform for hosting and scaling
• Ansible — Infrastructure as Code for automated deployment of the entire infrastructure
• DevOps tooling — automation of deployment processes

Results and Benefits

Operational advantages

• Parallel testing — multiple tests run simultaneously
• Scalability — test nodes can be added dynamically as needed
• Increased capacity — elimination of the single-instance bottleneck
• Redundancy — no more dependency on a single test node
• Rapid deployment — automated scripts spin up a new grid environment quickly

Technical benefits

• Distributed platform — transition from a monolithic to a distributed testing architecture
• Reproducibility — Infrastructure as Code ensures consistent deployment
• Cloud benefits — Azure services for optimal performance and cost efficiency

How We Work

Automating infrastructure with code — reproducible, scalable, and fast to deploy — is core to how we build and operate platforms. Explore our services or read more of our case studies.