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.

Azure Monitor Our Service Leads use Azure Monitor to collect, analyze, and act on telemetry data from a wide range of resources, including Azure services, on-premises systems, and other cloud environments. It provides deep insights into the performance, health, and usage of applications and infrastructure, helping organizations proactively monitor and optimize their systems.