Architecting with Google Cloud Platform: Design and Process
This two-day instructor-led class 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.
Audience:
This class is intended for the following roles and individuals:
- Cloud Solutions Architects, Site Reliability Engineers, Systems Operations professionals, DevOps Engineers and IT managers.
- Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud.
Prerequisites:
To get the most out of this course, participants should have:
- 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
Course objectives:
This course teaches participants the following skills:
- 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
Course outline:
Module 1: Defining the Service
Module 2: Microservice Design and Architecture
Module 3: DevOps Automation
Module 4: Choosing Storage Solutions
Module 5: Google Cloud and Hybrid Network Architecture
Module 6: Deploying Applications to Google Cloud
Module 7: Designing Reliable Systems
Module 8: Security
Module 9: Maintenance and Monitoring
Certification
This course is the final step towards the Google Cloud Platform Architect certification.
