Kubernetes & Prometheus Sidekick-Kubernetes Monitoring Tool

Example

Automatically managing the lifecycle of containers based on defined parameters such as CPU usage or the number of requests handled.

Scenario

In a microservices architecture, Kubernetes can automatically scale services up or down based on demand, improving resource efficiency and application performance.

Example

Kubernetes can expose a container using the DNS name or its own IP address. If traffic to a container is high, Kubernetes is able to load balance and distribute the network traffic so that the deployment is stable.

Scenario

Prometheus is configured to dynamically discover targets in a Kubernetes cluster using service discovery, allowing it to update its monitoring targets as the cluster changes.

Example

Kubernetes restarts containers that fail, replaces and reschedules containers when nodes die, and kills containers that don't respond to your user-defined health check.

Scenario

A deployed application's container that crashes due to a software error is automatically replaced with a new, functioning instance, reducing downtime.

Example

Prometheus continuously records real-time metrics in a time series database based on the configuration in Kubernetes, allowing for precise alerting rules.

Scenario

If a deployed application exceeds memory usage thresholds, Prometheus triggers an alert and notifies the system administrators to take immediate action.