This two-day Architecting with Google Cloud Platform: Design and Process instructor-led course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine course and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to design Google Cloud deployments that are highly reliable and secure; and how to operate Google Cloud deployments in a highly available and cost-effective manner.Through a combination of presentations, demos, and hands-on labs, participants learn to design GCP deployments that are highly reliable and secure; and how to operate GCP deployments in a highly available and cost-effective manner.
 

Upon completion of the Architecting with Google Cloud Platform: Design and Process course, students will be able to:

• Apply a tool set of questions, techniques and design considerations
• Define application requirements and express them objectively as KPIs, SLO's and SLI's
• Decompose application requirements to find the right microservice boundaries
• Leverage Google Cloud developer tools to set up modern, automated deployment pipelines
• Choose the appropriate Google Cloud Storage services based on application requirements
• Architect cloud and hybrid networks
• Implement reliable, scalable, resilient applications balancing key performance metrics with cost
• Choose the right Google Cloud deployment services for your applications
• Secure cloud applications, data and infrastructure
• Monitor service level objectives and costs using Stackdriver tools

DEFINING THE SERVICE

• Design in this class.
• State and solution.
• Measurement.
• Gathering requirements, SLOs, SLAs, and SLIs (key performance indicators).

BUSINESS-LOGIC LAYER DESIGN

• Microservices architecture.
• GCP 12-factor support.
• Mapping compute needs to Google Cloud Platform processing services.
• Compute system provisioning.

DATA LAYER DESIGN

• Classifying and characterizing data.
• Data ingest and data migration.
• Identification of storage needs and mapping to Google Cloud Platform storage systems.

PRESENTATION LAYER DESIGN

• Network edge configuration.
• Network configuration for data transfer within the service, including load balancing and network location.
• Network integration with other environments, including on premise and multi-cloud.

DESIGN FOR RESILIENCY, SCALABILITY, AND DISASTER RECOVERY

• Failure due to loss of resources.
• Failure due to overload.
• Strategies for coping with failure.
• Business continuity and disaster recovery, including restore strategy and data lifecycle management.
• Scalable and resilient design.

DESIGN FOR SECURITY

• Google Cloud Platform security.
• Network access control and firewalls.
• Protections against denial of service.
• Resource sharing and isolation.
• Data encryption and key management.
• Identity access and auditing.

CAPACITY PLANNING AND COST OPTIMIZATION

• Capacity planning.
• Pricing.

DEPLOYMENT, MONITORING AND ALERTING, AND INCIDENT RESPONSE

• Deployment.
• Monitoring and alerting.
• Incident response.

• Cloud Solutions Architects, Site Reliability Engineers, Systems Operations professionals, DevOps Engineers, IT managers.
• Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform.

No certification available.

• Completion of Architecting with Google Compute Engine, Architecting with Google Kubernetes Engine or equivalent experience
• Basic proficiency with command-line tools and Linux operating system environments Systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment