How Ikigai Labs Serves Interactive AI Workflows at Scale using Ray Serve

The Ikigai Labs platform provides an AI-charged spreadsheet that offers a collaborative space for data integration, processing, visualization, and interactive dashboards. The platform aims to achieve three missions simultaneously: mission-critical data pipelines, highly interactive data pipelines, and instantly browsable data pipelines. To overcome technical challenges, the team used Ray Core, which provided flexibility in resolving issues such as scalability and interactivity. Ray Serve was also adopted to serve custom Python scripts with real-time interaction, while overcoming challenges related to dependency management and task submission overhead. The platform implemented a version-aware deployment mechanism to avoid race conditions and utilized Ray Client for eliminating the task submission step. Additionally, Ray Workflow is being integrated to add fault-tolerance to remote tasks and optimize resource management.

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