Course description
Advanced Google Cloud Platform (GCP)
Advanced Google Cloud Platform: Engineering is a follow on to the Fundamentals course. Participants deep dive into the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine and Kubernetes. Attendees explore and deploy solution elements, including infrastructure components such as networks, systems, and application services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, containers, Kubernetes and automation, and resource monitoring.
Do you work at this company and want to update this page?
Is there out-of-date information about your company or courses published here? Fill out this form to get in touch with us.
Who should attend?
This is an intermediate and beyond-level class for Architects, DevOps Engineers, and any other Engineering personnel interested in taking their knowledge of Google's Services to the next level. Completion of Google Cloud Platform Fundamentals or equivalent experience is required.
Training content
- Google Cloud Platform
- Define Cloud Computing
- GCP Compute Infrastructure
- Using GCP
- Regions and Zones
- Networking
- Google VPC Networking
- Cloud DNS
- IP aliases
- Firewall
- Resource Management
- Cloud resource manager hierarchy
- Quotas
- Organize resources with labels
- Billing
- Virtual Machine Instances
- Machine family
- Machine type
- Disk options
- Virtual Machine pricing
- Metadata
- Shared vs Sole tenancy
- Cloud Marketplace
- Deployment Manager
- Cloud Security
- Organizations, roles and members
- Service accounts
- Best practices
- Load Balancing and Autoscaling
- Load balancer types
- Instance groups
- Instance templates
- Autoscaling concepts
- Storage and Database Services
- Cloud Storage
- SQL
- Spanner
- Datastore
- Firestore
- Bigtable
- Containers and Kubernetes
- Create container images using Cloud Build
- Container Registry
- Kubernetes Architecture
- Scaling pods and clusters
- Pod Scheduling
- Helm and Kubernetes Marketplace
- Kubernetes Networking
- Services
- Kubernetes Ingress
- Container-native load balancing
- Kubernetes network policies.
- Kubernetes Persistent Data
- Types of Storage
- Volumes
- Claims
- Dynamic storage
- Storing configuration data
- ConfigMap
- Secrets
- Managing Deployment State
- StatefulSets
- Features
- Running Stateful applications on Kubernetes
- Recovery from failed Stateful application
- Use-Cases
- Logging and Monitoring
- Stackdriver
- Centralized logging
- Health checks
- Alerts
- Wrap-up and Q&A
Costs
- Price: 1,795.00
- Discounted Price: 1,166.75
Why choose Trivera Technologies LLC?
Over 25 years of technology training expertise.
Robust portfolio of over 1,000 leading edge technology courses.
Guaranteed to run courses and flexible learning options.
Contact this provider
Trivera Technologies
Trivera Technologies is a IT education services & courseware firm that offers a range of wide professional technical education services including: end to end IT training development and delivery, skills-based mentoring programs,new hire training and re-skilling services, courseware licensing and...