Google Cloud Fundamentals: Core Infrastructure
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Network Engineer course
A Professional Cloud Network Engineer is responsible for the design, implementation, and management of Google Cloud network infrastructure. This includes designing network architectures for high availability, scalability, resiliency, and security. This individual is skilled in configuring and managing Virtual Private Clouds (VPCs), routing, network security services, load balancing, and Cloud DNS. Additionally, they are proficient in setting up hybrid connectivity through Cloud Interconnect and Cloud VPN. Their expertise extends to diagnosing, monitoring, and troubleshooting network operations by using Google Cloud Observability and the Network Intelligence Center.
Duration 6 days
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42 hours
•
$4600 excl tax
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Networking in Google Cloud
What you will learn in 2 days
Discover the training- Configure Google VPC networks, subnets, and routers
- Control administrative access to VPC objects
- Control network access to endpoints in VPCs
- Interconnect networks among Google Cloud projects
- Interconnect networks among Google Cloud VPC networks and on-premises or other-cloud networks
- Choose among Google Cloud load balancer and proxy options and configure them
- Use Cloud CDN to reduce latency and save money
- Optimize network spend using Network Tiers
- Configure Cloud NAT or Private Google Access to provide instances without public IP addresses access to other services
- Deploy networks declaratively using Cloud Deployment Manager or Terraform
- Design networks to meet common customer requirements
- Configure monitoring and logging to troubleshoot networks problems
Logging, Monitoring, and Observability in Google Cloud
What you will learn in 3 days
Discover the training- Plan and implement a well-architected logging and monitoring architecture
- Measure and avoid customer pain with Service Level Indicators (SLIs) and Service Level Objectives (SLOs)
- Visualize cloud health with dashboards
- Construct automated alerts
- Monitor, troubleshoot, and improve Google Cloud infrastructure
- Write, analyze, and export Google Cloud logs
- Find code defects, identify bottlenecks, and improve performance of production code
- Optimize monitoring costs