Leading Change in the Cloud Era

This course will help managers to identify ways to increase their adaptability as a leader, identify actions to effectively manage transition and coach others through change, and increase their ability to communicate change to gain commitment.

Audience

People managers, leaders and executive sponsors in the process of moving to Google Cloud Platform (GCP) This is a private class intended for a Single Customer, to bring together Key Stakeholders & Project team to work towards a common goal.

Course Outline

  • Cloud Change Journey
  • Customer Story
  • Google Cloud Adoption Framework
  • Understand the psychology of change
  • Evaluate your self-awareness about the impact of change on your team
  • Assess where your team is on the change curve and how you can support them
  • Recognize the most common effects moving to the cloud can have on your team
  • Create a communication plan to lead others and deal with resistance
  • Recognize the PSO Consulting Services available to support your Google Cloud journey
  • Create and use Deployments
  • Create and run Jobs and CronJobs
  • Scale clusters manually and automatically
  • Configure Node and Pod affinity
  • Get software into your cluster with Helm charts and Kubernetes Marketplace
  • Create Services to expose applications that are running within Pods
  • Use load balancers to expose Services to external clients
  • Create Ingress resources for HTTP(S) load balancing
  • Leverage container-native load balancing to improve Pod load balancing
  • Define Kubernetes network policies to allow and block traffic to pods
  • Use Secrets to isolate security credentials
  • Use ConfigMaps to isolate configuration artifacts
  • Push out and roll back updates to Secrets and ConfigMaps
  • Configure Persistent Storage Volumes for Kubernetes Pods
  • Use StatefulSets to ensure that claims on persistent storage volumes persist across restarts
  • Understand Kubernetes authentication and authorization
  • Define Kubernetes RBAC roles and role bindings for accessing resources in namespaces
  • Define Kubernetes RBAC cluster roles and cluster role bindings for accessing cluster-scoped resources
  • Define Kubernetes pod security policies
  • Understand the structure of GCP IAM
  • Define IAM roles and policies for Kubernetes Engine cluster administration
  • Use Stackdriver 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 GCP storage services
  • Understand use cases for Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Bigtable, Cloud Firestore, and Bigquery from within a Kubernetes application

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