Kubernetes Metrics Server Our Service Leads use Kubernetes Metrics Server to collect and aggregate resource usage data, such as CPU and memory consumption, from nodes and pods. It enables autoscaling and monitoring by providing real-time metrics to the Horizontal Pod Autoscaler (HPA) and other components, ensuring efficient resource management and optimal cluster performance.

Prometheus Our Service Leads use Prometheus as a powerful monitoring and alerting system for Kubernetes. It collects real-time metrics, stores them in a time-series database, and enables querying with PromQL. With built-in alerting and visualisation support, Prometheus helps monitor application performance, detect anomalies, and ensure system reliability and scalability.

Google Cloud Monitoring Google Cloud Monitoring is a service that provides real-time visibility into the performance, uptime, and health of applications and infrastructure running on Google Cloud and other platforms. It collects metrics, logs, and events, enabling users to set up alerts, dashboards, and automated responses to ensure system reliability.