Technology Category
- Functional Applications - Enterprise Resource Planning Systems (ERP)
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Buildings
- Construction & Infrastructure
Applicable Functions
- Product Research & Development
The Customer
Not Disclosed
About The Customer
The customer in this case study is an IT automation platform. They were seeking a solution to manage and secure their enterprise infrastructure. Their needs were complex, requiring a solution that could accommodate the collaboration of over 30 teams across various geographies. They needed a system that was not only efficient and effective but also flexible enough to scale up or down as needed. The customer was also looking to modernize their legacy enterprise solution and ensure consistency throughout the platform. They desired a pixel-perfect design solution and a scalable frontend architecture.
The Challenge
The client, an IT automation platform, was faced with the challenge of discovering, managing, and securing its enterprise infrastructure. The client was seeking a solution that would ensure consistency throughout the platform, modernize their legacy enterprise solution, provide a pixel-perfect design solution, and offer a scalable frontend architecture. The client's needs were complex, requiring a solution that could accommodate the collaboration of over 30 teams across various geographies. The challenge was to create a system that was not only efficient and effective but also flexible enough to scale up or down as needed.
The Solution
The solution provided was a highly modular micro-frontend solution. This approach structured the entire team's work around specific principles and achieved a consistent design language using component-driven development. The solution included trunk-based development, which is a source-control branching model where developers work on a single branch, 'trunk'. This approach reduces the complexity of merging events and keeps code current. The solution also adopted code analyzing tools to ensure code quality and minimize errors. Performance measurement reports were also part of the solution, providing valuable insights into the system's efficiency and effectiveness. Lastly, the solution focused on minimizing critical production errors, ensuring a smooth and efficient operation.
Operational Impact
Quantitative Benefit
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