Use Google Cloud Load Balancer for autoscaling and traffic distribution. Manage access control and distribute SSL and TCP traffic.

Monitor and improve application performance with Google Cloud's operations suite. Learn about Cloud Monitoring, Cloud Logging, Cloud Trace, and Cloud Debugger.

Explore Google Cloud Platform and its services like Virtual Machines, Kubernetes, and Cloud Functions. Learn account setup, console navigation, billing, budgets, and pricing.

Learn how to use Google Cloud Resource Manager to hierarchically manage resources. Learn to create labels and tags, move and migrate projects, and view audit logs.

Learn how to manage authorization using Google Cloud IAM. Gain experience managing custom roles and working with IAM audit logs.

Learn to create VPC networks and subnets with Google Virtual Private Cloud. Launch Compute Engine instances, use Cloud VPN, create Deployment Manager templates, and add subnets to existing VPCs.

Discover Google App Engine, a cloud platform that provides scalable hosting for web developers and enterprises. Learn about different environments, deploying with gcloud, Cloud Run, Cloud Functions, and setting up Pub/Sub notifications for Cloud Storage.

Learn about Google Cloud Storage along with its features and functions. Explore Object Lifecycle Management, storage buckets, storage classes, and naming guidelines. Learn to migrate a database to Cloud SQL.

Explore compute and hosting options with Google Cloud. Create and manage Virtual Machine instances, provision sole-tenant nodes, and create a managed instance group.

Manage containerized apps with Google Kubernetes Engine. Create GKE clusters, explore security features and networking, and configure monitoring and logging.

Use traffic splitting, map custom domains, and use SSL to secure your custom domain with Google App Engine. Manage app resources, update scaling configurations, and deploy versions of your app.

Store and retrieve objects in Google Cloud with Google Cloud Storage. Create and manage Cloud Storage buckets, use BigQuery for estimating storage and querying costs, and use Dataproc to review job status.