Target Audience for Architecting with Google Kubernetes Engine
The "Architecting with Google Kubernetes Engine" course is designed for IT professionals seeking expertise in deploying, managing, and scaling applications on GKE.
Target Audience for the Course:
- Cloud Architects and System Architects
- DevOps Engineers
- Software Developers with a focus on cloud-native and containerized applications
- Site Reliability Engineers (SREs)
- IT Operations staff interested in containerization and Kubernetes deployment
- IT Project Managers overseeing cloud-based technical projects
- Data Engineers and Data Scientists looking for orchestration solutions
- Security Engineers interested in securing containerized applications
- Application Developers transitioning to cloud platforms or microservices architectures
- Technical Leads and Technical Consultants specializing in cloud computing and orchestration
- Cloud Infrastructure Specialists
- Network Engineers looking to understand GKE networking
- Storage Administrators interested in persistent data and storage with Kubernetes
- Systems Administrators and IT Professionals with a focus on Google Cloud Platform services
- Technical Professionals preparing for Google Cloud certification exams related to Kubernetes and GKE
Learning Objectives - What you will Learn in this Architecting with Google Kubernetes Engine?
Introduction to the Course's Learning Outcomes
Gain practical skills in deploying, managing, and scaling applications using Google Kubernetes Engine (GKE) while understanding core Kubernetes concepts and Google Cloud's compute services.
Learning Objectives and Outcomes
- Navigate and manage resources using the Google Cloud Console and Cloud Shell effectively.
- Define cloud computing and identify the various compute services offered by Google Cloud.
- Understand the relationship between Kubernetes and GKE, and choose the appropriate Google Cloud compute platform for specific workloads.
- Grasp Kubernetes architecture including pods, namespaces, and control-plane components, and create a GKE cluster.
- Utilize the kubectl command for various operations like inspecting clusters, viewing pod output, and interacting with pods.
- Deploy applications with Kubernetes deployments, manage scaling and updates, and understand advanced deployment strategies like blue/green and canary.
- Configure GKE networking, understand pod networking, use services and load balancers, and implement network security.
- Manage persistent data using volumes, PersistentVolumes, StatefulSets, ConfigMaps, and Secrets.
- Implement access control and security with Kubernetes RBAC, IAM roles, and Pod Security Policies for cluster administration.
- Monitor cluster performance and application health with Cloud Monitoring, manage logs, and implement application wellness checks.
