InfluxDB's time series database is utilized by Highlight to efficiently visualize and manage millions of metrics from full stack applications, addressing challenges like performance bottlenecks and data expiration that arise with traditional SQL databases. Highlight initially used PostgreSQL for its ease of querying and familiarity but encountered issues with the unbounded nature of metric data, which led to long query times and performance constraints. Transitioning to InfluxDB allowed for automatic time-based data expiration and better handling of high cardinality, although it introduced new hurdles such as managing cardinality limits and bucket-specific tasks. The company mitigated these issues by assigning each customer project to a separate InfluxDB bucket, controlling cardinality growth within manageable limits, despite the added complexity and cost. Highlight's platform provides customers with insightful metrics visualization and real-time debugging tools, enhancing their ability to resolve regressions and analyze infrastructure efficiency.