The Algorithmia platform accelerates machine learning (ML) model development by providing a secure and efficient way to deploy and manage models in production. The platform's recently introduced feature, Algorithmia Insights, offers a flexible integration solution for ML model performance monitoring, enabling data scientists to evaluate model drift and perform model maintenance as needed. An InfluxDB Template is available to stream operational metrics and user-defined inference-related metrics from Algorithmia to InfluxDB, allowing users to gain insights into their models' performance with visualizations such as time series charts and dashboards. This template simplifies the process of monitoring ML workloads by providing pre-made dashboards, reducing the need for data scientists to focus on setting up monitoring configurations. By collecting and analyzing ML algorithm performance metrics in InfluxDB, users can successfully manage their ML life cycle and governance, including creating alerts and receiving notifications when algorithms require maintenance.