Audience: This page is written primarily for IT architects, support teams, and IT operations who monitor the health of a Mantsu installation. Non-technical readers, such as project stakeholders, can read it to understand how performance issues are detected before they impact production.

Feature in development and not yet available. Documentation may change.

Service metrics give you a technical view on the health and performance of every Mantsu container and server. A technical dashboard is added, mainly for the support team, which shows the metrics of the different containers and performance of the servers.

This allows a visual analysis of the current performance and can show the need for upscaling before there are actual issues. It is also possible to review previous data to investigate root-causes and unexpected behaviors of the containers.

Grafana is an open-source analytics and visualisation platform. In Mantsu it is used for technical monitoring of the services and infrastructure. Operational MES reporting will be handled by the reporting application.

It connects to Prometheus as its primary data source and provides:

Prometheus is an open-source time-series database and monitoring system. It scrapes metrics endpoints exposed by each service at regular intervals and stores them for querying and alerting. Prometheus is the de facto standard for Kubernetes-native monitoring and integrates natively with Grafana.

Alert Manager is part of the Prometheus ecosystem. It receives alerts fired by Prometheus when metric thresholds are breached and routes them to the appropriate notification channel (email, Slack, Teams, or similar). This enables the Mantsu service team to take proactive action before issues affect production operations

Summary: Service metrics monitor the technical health of every Mantsu container and server through Prometheus, Grafana, and Alert Manager, so capacity issues are detected and resolved before they affect production.