Architecting with Google Kubernetes Engine

Architecting with Google Kubernetes EngineAGKEGOGoogleGO-AGKE2.0<ul> <li>Create and manage workloads in Google Kubernetes Engine.</li><li>Explain how pod networking works in Google Kubernetes Engine.</li><li>Define and work with different Kubernetes storage abstractions.</li><li>Describe and manage authentication, authorization, and security in Google Kubernetes Engine.</li><li>Monitor applications running in Google Kubernetes Engine.</li><li>Explore Google Cloud managed storage services options.</li><li>Configure CI/CD pipelines for Google Kubernetes Engine.</li></ul>Complete <a class="fl-href-prod" href="/swisscom/en/course/google-gcp-gsgke"><svg role="img" aria-hidden="true" focusable="false" data-nosnippet class="cms-linkmark"><use xlink:href="/css/img/icnset-linkmarks.svg#linkmark"></use></svg>Getting Started with Google Kubernetes Engine (GCP-GSGKE)</a> or have equivalent experience.<ul> <li>Cloud architects, administrators, and SysOps/DevOps personnel.</li><li>Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with Google Cloud.</li></ul>Module 1 - Workloads: Deployments and Jobs <ul> <li>Creating deployments.</li><li>Inspecting deployments.</li><li>Updating deployments.</li><li>Adopting other deployment strategies.</li><li>Using Jobs and Cronjobs</li><li>Cluster scaling.</li><li>Controlling Pod placement with labels and affinity rules.</li><li>Controlling Pod placement with taints and tolerations.</li><li>Getting software into your cluster.</li></ul>Module 2 - Google Kubernetes Engine Networking <ul> <li>Pod networking</li><li>Kubernetes Services</li><li>Service type and load balancers</li><li>Ingress</li><li>Container-native load balancing</li><li>Network policies</li></ul>Module 3 - Persistent Data and Storage <ul> <li>Volumes</li><li>Ephemeral volumes</li><li>Durable volumes</li><li>Statefulsets</li><li>Configmaps</li><li>Secrets</li></ul>Module 4 - Access Control and Security in Kubernetes and Google Kubernetes Engine <ul> <li>Explore Kubernetes authentication and authorization.</li><li>Define Kubernetes RBAC and how it works with IAM to secure GKE clusters.</li><li>Configure Workload Identity to access Google Cloud services from within GKE.</li><li>Secure GKE with Pod Security Standards and Pod Security Admission.</li><li>Implement Role-Based Access Control with GKE.</li></ul>Module 5 - Google Kubernetes Engine Logging and Monitoring <ul> <li>Cloud Observability</li><li>Cloud Logging</li><li>Cloud Monitoring</li><li>Inspecting logs with the kubectl command</li><li>Inspecting logs with Cloud Logging and logging agents</li></ul>Module 6 - Using Google Cloud Managed Storage Services with Google Kubernetes Engine <ul> <li>Using Google Cloud services</li><li>Using Cloud Storage</li><li>Using Google Cloud databases</li><li>Using Cloud SQL and SQL Auth Proxy.</li><li>Comparing storage options.</li></ul>Module 7 - Using CI/CD with Google Kubernetes Engine <ul> <li>What is CI/CD?</li><li>CI/CD pipeline construction</li><li>CI/CD tools available in Google Cloud</li><li>Best practices for using CI/CD on Google Cloud</li></ul>Module 8 - Course Summary- Create and manage workloads in Google Kubernetes Engine. - Explain how pod networking works in Google Kubernetes Engine. - Define and work with different Kubernetes storage abstractions. - Describe and manage authentication, authorization, and security in Google Kubernetes Engine. - Monitor applications running in Google Kubernetes Engine. - Explore Google Cloud managed storage services options. - Configure CI/CD pipelines for Google Kubernetes Engine.Complete Getting Started with Google Kubernetes Engine (GCP-GSGKE) or have equivalent experience.- Cloud architects, administrators, and SysOps/DevOps personnel. - Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with Google Cloud.Module 1 - Workloads: Deployments and Jobs - Creating deployments. - Inspecting deployments. - Updating deployments. - Adopting other deployment strategies. - Using Jobs and Cronjobs - Cluster scaling. - Controlling Pod placement with labels and affinity rules. - Controlling Pod placement with taints and tolerations. - Getting software into your cluster. Module 2 - Google Kubernetes Engine Networking - Pod networking - Kubernetes Services - Service type and load balancers - Ingress - Container-native load balancing - Network policies Module 3 - Persistent Data and Storage - Volumes - Ephemeral volumes - Durable volumes - Statefulsets - Configmaps - Secrets Module 4 - Access Control and Security in Kubernetes and Google Kubernetes Engine - Explore Kubernetes authentication and authorization. - Define Kubernetes RBAC and how it works with IAM to secure GKE clusters. - Configure Workload Identity to access Google Cloud services from within GKE. - Secure GKE with Pod Security Standards and Pod Security Admission. - Implement Role-Based Access Control with GKE. Module 5 - Google Kubernetes Engine Logging and Monitoring - Cloud Observability - Cloud Logging - Cloud Monitoring - Inspecting logs with the kubectl command - Inspecting logs with Cloud Logging and logging agents Module 6 - Using Google Cloud Managed Storage Services with Google Kubernetes Engine - Using Google Cloud services - Using Cloud Storage - Using Google Cloud databases - Using Cloud SQL and SQL Auth Proxy. - Comparing storage options. Module 7 - Using CI/CD with Google Kubernetes Engine - What is CI/CD? - CI/CD pipeline construction - CI/CD tools available in Google Cloud - Best practices for using CI/CD on Google Cloud Module 8 - Course Summary2 days2220.001950.001950.001995.006770.002095.001950.001950.002095.001950.005200.001495.001300.001500.001500.001320.002065.001550.00