Master Google Kubernetes Engine (GKE) for seamless deployment
Leverage Kubernetes RBAC and IAM for top-tier security
Navigate Google Cloud services effortlessly
Master blue/green and canary deployments for smooth scaling
Convenient and hassle-free payment plans
Flexible learning options
What you will learn:
Upcoming sessions
Use the Google Cloud Console
Use Cloud Shell Define Cloud Computing
Identify Google Cloud Compute Services
Understand Regions and Zones
Understand the Cloud Resource Hierarchy
Administer your Google Cloud Resources
Create a Container Using Cloud Build
Store a Container in Container Registry
Understand the Relationship Between Kubernetes and Google Kubernetes Engine (GKE)
Understand how to Choose Among Google Cloud Compute Platforms
Understand the Architecture of Kubernetes: Pods, Namespaces
Understand the Control-plane Components of Kubernetes
Create Container Images using Cloud Build
Store Container Images in Container Registry
Create a Kubernetes Engine Cluster
The Kubectl Command Work with the Kubectl Command
Inspect the Cluster and Pods
View a Pod’s Console Output
Sign in to a Pod Interactively
Deployments
Ways to Create Deployments
Services and Scaling
Updating Deployments
Rolling Updates
Blue/Green Deployments
Canary Deployments
Managing Deployments
Jobs and CronJobs
Parallel Jobs
CronJobs
Cluster Scaling
Downscaling Node Pools
Controlling Pod Placement
Affinity and Anti-Affinity
Pod Placement Example
Taints and Tolerations
Getting Software into your Cluster
Introduction
Pod Networking
Services
Finding Services
Service Types and Load Balancers
How Load Balancers Work
Ingress Resource
Container-Native Load Balancing
Network Security
Volumes
Volume Types
The PersistentVolume Abstraction
More on PersistentVolumes
StatefulSets
ConfigMaps
Secrets
Understand Kubernetes Authentication and Authorization
Define Kubernetes RBAC Roles and Role Bindings for Accessing Resources in Namespaces
Define Kubernetes RBAC Cluster Roles and ClusterRole Bindings for
Accessing Cluster-scoped Resources
Define Kubernetes Pod Security Policies
Understand the Structure of IAM
Define IAM roles and Policies for Kubernetes Engine Cluster Administration
Use Cloud Monitoring to monitor and manage availability and performance
Locate and inspect Kubernetes logs
Create probes for wellness checks on live applications
Understand Pros and Cons for Using a Managed Storage Service Versus Self-managed
Containerized Storage
Enable Applications Running in GKE to Access Google Cloud Storage Services
Understand Use Cases for Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Bigtable,
Cloud Firestore, and BigQuery from within a Kubernetes Application
CI/CD overview
CI/CD for Google Kubernetes Engine
CI/CD Examples
Manage application code in a source repository that can trigger code changes to a continuous delivery pipeline
Successful completion of the Architecting with Google Kubernetes Engine Specialization in Sweden will help you to:
1
Prepare learners to deploy and manage apps on Google Kubernetes Engine (GKE)
2
Offer hands-on practice with GCP Console, Cloud Shell, and Kubernetes commands
3
Develop skills in managing Kubernetes clusters, pods, and services
4
Understand Kubernetes and GKE architecture, including pod networking
5
Provide knowledge in managing security with Kubernetes RBAC and Google Cloud IAM
6
Explore integrating GKE with Google Cloud's managed storage services
7
Equip learners to monitor, troubleshoot, and optimize cloud applications
Overall ratings by our students
Our Architecting with Google Kubernetes Engine Specialization in Sweden is designed to master Google Kubernetes Engine (GKE) to deploy and manage containerized applications. Professionals acquire knowledge in pod networking, resource management, scaling and Kubernetes architecture. We train you to become cloud architecture, DevOps and system administration experts.
Unlike standard Kubernetes training, this specialization targets GKE on Google Cloud, integrating extensive Kubernetes knowledge with Google-specialized services and integrations. It becomes particularly useful for practitioners aiming for Google Cloud environments.
This specialization enhances your expertise in deploying and scaling Kubernetes, making you an asset to Cloud Architect or DevOps Engineer roles. It also gives you GKE-targeted skillsets that are in high demand on enterprise cloud initiatives.
Our course begins with core Kubernetes concepts before moving on to more advanced GKE material, so it is suitable for beginners. Step-by-step confidence is instilled in you through hands-on labs.
Basic programming skills can be useful but are not essential. The course concentrates on Kubernetes architecture, cluster management, and integration with GCP as opposed to intensive coding.
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