Knowledge-assisted engineering platform accelerates developer productivity

The client's data platform consisted of numerous ETL pipelines, database repositories, and codebases, making it difficult for developers to understand dependencies and trace data flows across the environment.

Developers spent significant time investigating failures, tracing dependencies, understanding the potential impact of changes, and working through change requests. This was further complicated by business knowledge, technical documentation, and code repositories being maintained in separate silos.

The lack of a unified view made impact analysis and troubleshooting more difficult and increased the time required to resolve tickets and implement changes.

• Iris built a unified knowledge platform that brought together code lineage, dependency mapping, and business documentation to give developers relevant context in one place.
• The platform used Graphify to map code lineage and dependencies and Confluence to bring in business and technical documentation. Developers could use Jira tickets as inputs to retrieve relevant context, understand potential impact, and access recommended resolutions from these knowledge sources.
• By surfacing dependencies, data lineage, and implementation guidance, the solution reduced the need for manual investigation. Context-aware engineering workflows also helped developers move more quickly from identifying an issue to determining the appropriate resolution.

The solution helped streamline engineering workflows and reduce the time spent investigating and resolving development issues. Key outcomes included:

• Reduced ticket resolution and change implementation timelines from days to hours
• Improved developer productivity through faster access to dependency and data lineage information
• Simplified impact analysis and troubleshooting by bringing technical and business knowledge together
• Accelerated bug resolution and change delivery through context-aware engineering workflows.