Master Microservices with Spring Boot and Spring Cloud - Step 24 – Exploring Centralized Logging and Monitoring in GKE

The video tutorial covers the logging and monitoring features provided by Google Kubernetes Engine (GKE). It explains how to access and view logs, use queries to analyze logs, and explore the GKE dashboard for metrics. The tutorial highlights the importance of centralized logging for debugging and monitoring, and demonstrates how to utilize the GKE dashboard to monitor CPU, memory, and disk utilization at various levels.

What command is used to send multiple requests at intervals in the Cloud Console?

• curl with a watch

• fetch with a delay

• ping with a loop

• wget with a timer

Where can you find logs related to a specific pod in the Kubernetes cluster?

• In the node metrics

• In the pod section of the logs

• In the container details

• In the GKE dashboard

What is the purpose of a trace ID in log management?

• To identify the server location

• To track specific requests

• To monitor CPU usage

• To manage user access

How can you search for specific log entries in the Kubernetes logs?

• By filtering by container type

• By using the GKE dashboard

• By sorting by date

• By querying with text payload

What information can you find on the GKE dashboard?

• Network traffic details

• Metrics like CPU and memory utilization

• Database query performance

• User access logs

What is one of the benefits of using GKE for logging and monitoring?

• Free access to all Google Cloud services

• Unlimited storage for logs

• Centralized logging and monitoring

• Automated code deployment

Which namespace is used by default for deploying containers in Kubernetes?

• User-defined namespace

• Custom namespace

• System namespace

• Default namespace