Reliable Google Cloud Infrastructure: Design and Process

This 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 courses 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 define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.

• 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
• Discuss Google Cloud network architectures, including hybrid architectures.
• 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 Google Cloud's operations suite.

• To get the most out of this course, participants should: Have completed Architecting with Google Compute Engine, Architecting with Google Kubernetes Engine, or have equivalent experience. Have basic proficiency with command-line tools. And have systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment