monitoring

Machine learning model deployment is the process of integrating trained ML models into production environments where they can serve real-time predictions, enabling applications to make data-driven decisions at scale.

Kibana is an open-source data visualization and exploration tool designed to work with Elasticsearch. It allows users to analyze, visualize, and share data stored in Elasticsearch indices.

An open-source monitoring system and time series database that collects metrics from configured targets, stores them efficiently, and provides powerful querying capabilities with alerting support.

The Prometheus, Grafana, and Alertmanager stack is a comprehensive open-source monitoring solution that collects time-series metrics, visualizes them through customizable dashboards, and manages alerts with advanced routing and notification capabilities.

New Relic is a comprehensive intelligent observability platform that provides application performance monitoring, infrastructure monitoring, and full-stack observability with AI-powered insights to help developers monitor, debug, and optimize their entire technology stack.

Datadog, New Relic, and Sentry are enterprise-grade monitoring and observability platforms that provide application performance monitoring, error tracking, infrastructure monitoring, and alerting capabilities for software development teams and DevOps organizations.

FastAPI is a modern, high-performance Python web framework for building REST APIs with automatic interactive documentation and type validation.