GKE monitoring and logging in GCP - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main purpose of monitoring in GKE?

Monitoring in GKE helps track the health and performance of your Kubernetes clusters and workloads by collecting metrics and alerts.

beginner

Which Google Cloud service is commonly used for logging in GKE?

Google Cloud Logging (formerly Stackdriver Logging) collects and stores logs from GKE clusters for analysis and troubleshooting.

intermediate

How does GKE export metrics for monitoring?

GKE exports metrics to Google Cloud Monitoring, where you can create dashboards and alerts based on cluster and workload data.

intermediate

What is the role of Fluentd in GKE logging?

Fluentd is an open-source log collector used in GKE to gather container logs and send them to Cloud Logging.

beginner

Name two key benefits of using Cloud Monitoring with GKE.

1. Real-time visibility into cluster health and performance. 2. Ability to set alerts to detect and respond to issues quickly.

Which service collects logs from GKE clusters?

A Cloud Storage

B Cloud Functions

C Cloud Logging

D Cloud SQL

Cloud Logging collects and stores logs from GKE clusters for analysis.

What tool does GKE use to collect container logs before sending them to Cloud Logging?

A Prometheus

B Fluentd

C Grafana

D Kubelet

Fluentd collects container logs and forwards them to Cloud Logging.

Where can you create dashboards to visualize GKE metrics?

A Cloud IAM

B Cloud Build

C Cloud Run

D Cloud Monitoring

Cloud Monitoring provides dashboards to visualize metrics from GKE.

What type of data does GKE monitoring primarily collect?

A Metrics and alerts

B User data

C Source code

D Logs only

GKE monitoring collects metrics and generates alerts to track cluster health.

Which of these is NOT a benefit of GKE monitoring and logging?

A Improving cluster security by default

B Detecting cluster issues early

C Visualizing workload performance

D Troubleshooting application errors

While monitoring helps detect issues, it does not automatically improve security by default.

Explain how GKE uses Cloud Monitoring and Cloud Logging to maintain cluster health.

Think about metrics for performance and logs for troubleshooting.

Describe the process of collecting and viewing logs from containers in a GKE cluster.

Focus on the flow from container to log viewer.