Manage Kubernetes in Google Cloud: Free Written Tutorials

Running a Kubernetes application involves more than getting its first container online. You need to manage updates, notice problems, and understand what your monitoring data is telling you. Google’s Manage Kubernetes in Google Cloud connects these responsibilities through a written, lab-based tutorial course on Google Kubernetes Engine, usually shortened to GKE.

You can read the complete published instructions for its three guided tutorials and the final challenge brief free of charge, without starting a hosted lab. That makes the material useful for studying deployment patterns, troubleshooting workflows, and metrics collection. This is a practical tutorial series, not a video lecture course; running the exercises and earning formal recognition have separate access conditions.

Course at a glance

What you’ll learn

• Follow how Kubernetes deployments are created, updated, and scaled using kubectl and deployment YAML files.
• Compare rolling updates, canary deployments, and blue-green deployments.
• Trace a GKE troubleshooting workflow using Cloud Logging and Cloud Monitoring.
• Examine logs-based metrics, alerting policies, and verification after a fix.
• Explore metrics collection with Managed Service for Prometheus, PodMonitoring, and exporters.
• Review a challenge that combines cluster setup, application deployment, monitoring, and updates.

Skills you’ll gain

• Kubernetes deployment literacy
• Release-pattern comparison
• GKE troubleshooting
• Log-based monitoring
• Prometheus metrics concepts
• Operational workflow planning

Read the complete tutorial sequence

Use the following official reading pages to study the material directly. Opening these instructions is different from selecting a paid or credit-based option to start the hosted environment.

1. Manage deployments and application updates

Managing Deployments Using Kubernetes Engine starts with the deployment object and creating a deployment, then moves through rolling updates, canary deployments, and blue-green deployments. The useful connection is between the configuration you change and the release approach it supports. Read the commands alongside their explanations rather than treating the tutorial as a command list to memorize.

2. Investigate an application problem

Debug Apps on Google Kubernetes Engine uses a sample microservices application to connect detection, investigation, and verification. Its tasks cover infrastructure setup, application deployment, a logs-based metric, an alerting policy, and fixing the issue. This gives you a concrete troubleshooting sequence to examine, including how the final check relates to the problem that triggered the investigation.

3. Understand metrics collection

Collect Metrics from Exporters using the Managed Service for Prometheus follows a different monitoring route. It introduces a GKE setup, an example application, a PodMonitoring resource, the Prometheus binary, and a node exporter. Use this unit to organize the relationship between the application or infrastructure being observed and the components used to collect its metrics.

4. Review the combined challenge

Manage Kubernetes in Google Cloud: Challenge Lab brings together cluster creation, Managed Prometheus, application deployment, logging and alerts, application updates, and containerization. It is a challenge task brief rather than another step-by-step solution. Reading it helps you identify the operations the preceding tutorials prepare you to attempt.

Preparation that makes the material easier to follow

The deployment tutorial recommends previous Docker and introductory Kubernetes lab experience, Linux system administration skills, and familiarity with DevOps and continuous deployment concepts. These are useful preparation signals for the Intermediate level. If Kubernetes objects or terminal commands are unfamiliar, build that foundation before using this series as operational practice.

For a no-cost study exercise, keep a four-column notebook: operation, configuration, signal to inspect, and expected result. Fill it from the explanations as you read. This is a personal learning aid, not an assessed submission or proof that you have run the exercises successfully.

Reading, execution, and badge requirements

The free route covers the entire published written sequence, including the challenge instructions. Hosted execution has not been verified as free: it can require credits or an eligible account allowance. Using cloud resources independently can also involve separate charges. Formal badge completion depends on Google’s required practical activities and assessments; reading alone does not establish completion.

Compare related topics in the WikiFree course catalogue, or open the parent course below to review its current enrollment and practical access options.

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