InfluxDB is a time series database solution used by Infosys, a global IT leader, to handle data challenges such as proactive anomaly detection, triaging incidents, and maintaining high availability and SLAs. The company chose InfluxDB due to its industry recognition, scalability, analytics capabilities, and IoT solutions. Its power comes from elastic scaling and sophisticated operations like pipe forwarders, offering more granularity than alternative databases. InfluxDB provides a wealth of resources around APIs and metrics, making it seamless for development in CI/CD pipelines. It also offers group functions that aggregate along series and create new group keys based on designated properties. The Flux language allows users to retrieve data, filter it, process it, and shape it into results, with a vast library of input plugins and a "plug and play" architecture. InfluxDB helps with proactive monitoring, automation, remediation of data errors, and aligning on KPIs across multiple services. Its visualization options within the UI allow users to create dashboards that display data in various formats. The company plans to continue developing DevOps within Kubernetes using InfluxDB to address security events, application errors, and overlaying applications.