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Reviews 4,5
Getting Started with Google Kubernetes Engine
Scalable cloud infrastructure is no longer a luxury – it is a prerequisite for modern software development. Google Kubernetes Engine provides a managed environment where containerized applications can be reliably deployed, operated, and automatically scaled.
Key topics
- Building and managing Kubernetes clusters on Google Cloud
- Planning and running container deployments in the cloud
- Automatically scaling and updating applications
- Structuring networks and services in Kubernetes
- Security and monitoring approaches for cloud environments
- DevOps-oriented workflows and cloud-native processes
Prerequisite
Those with basic knowledge of IT systems, Linux, or software development can get started right away.
Target group
Suited for cloud beginners, development teams, IT professionals, and anyone who wants to work with modern infrastructure technology.
Kubernetes expertise in the context of Google Cloud builds the foundation for high-performance, scalable applications and efficiently managed IT environments.
Course Content
Getting to Know Google Cloud
- Navigating and using the Google Cloud Console
- Applying Cloud Shell as a development tool
- Grasping the core concepts of cloud computing
- Overview of Google Cloud compute services
- How regions and zones are structured in Google Cloud
- Navigating the resource hierarchy in Google Cloud
- Managing and administering Google Cloud resources
Containers and Kubernetes in Google Cloud
- Building a container with Cloud Build
- Storing a container in the Container Registry
- Grasping the relationship between Kubernetes and GKE
- Selecting the right Google Cloud compute platform
The Kubernetes Architecture
- Exploring Kubernetes architecture: pods and namespaces.
- Learning how the Kubernetes control plane components work.
- Creating container images using Cloud Build.
- Saving container images to the Container Registry.
- Setting up a cluster in Kubernetes Engine.
Kubernetes Workloads Explained
- Using the kubectl command effectively
- Understanding and applying Deployments
- Pod-to-pod network communication
- Getting to know Volumes in Kubernetes
Up to 100% funding for your continuing education
Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.
Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.
Why is Google Kubernetes Engine more efficient than traditional server management?
- Deployments run automatically, clusters scale on their own – the manual infrastructure overhead in Google Cloud drops significantly.
How does Google Kubernetes Engine keep applications running reliably?
- Containers are continuously monitored, automatically restarted on failure, and evenly distributed across available resources.
What hands-on skills do you gain from a GKE course?
- Set up clusters, deploy applications, manage resources, and automate cloud workflows – practical skills ready to apply on the job.
Which tools does the Google Kubernetes Engine course work with?
- Kubernetes, Docker, kubectl, and the Google Cloud Platform form the technical foundation for real-world DevOps and deployment scenarios.
What makes Kubernetes and GKE the right choice for businesses?
- Applications scale faster, updates roll out cleanly, and system downtime is reduced through automatic failover mechanisms.
How soon can you start working with Google Kubernetes Engine?
- Even during the course, the first functional container deployments and running clusters take shape – getting started happens fast.
What does Kubernetes bring to daily operations?
- Fewer outages, better performance, and significantly more efficient management of modern applications.
Why is GKE know-how one of the most sought-after cloud competencies?
- Cloud-native infrastructure and container orchestration are core technologies in modern IT projects – making them a clear career advantage.
