The dashboarding journey every observability startup takes

Groundcover's journey to develop a custom dashboard engine for full-fidelity observability illustrates the challenges faced by startups in handling large volumes of time-series data without data sampling or rate limiting. Initially using ECharts, the team encountered limitations in customization and performance, prompting them to build their own SVG-based charting library, which later proved inadequate for handling complex dashboards. The company's journey involved decomposing performance issues into five distinct contracts, leading to the development of a hybrid rendering approach using both SVG and Canvas to optimize throughput and interaction. This evolution was underpinned by a year-long maturation of their chart components' API and extensive automated testing, allowing a swift transition to a more scalable and responsive system. The narrative highlights the iterative growth process, where each phase of development built on the learnings and capabilities acquired from the previous challenges, culminating in a system that significantly improved data rendering capabilities and user interaction, setting a new standard for observability tools.