2 day course 
Partner of the Year 
Virtual, Private Book 2, Get 1 Free
Book two scheduled training sessions to be taken in 2024, and get a third one completely free! Simply add three courses to your basket, and the discount will be applied at check-out.
As a Google Cloud Partner, we’ll share our experience on design patterns and the principles of Google Site Reliability Engineering (SRE).
Through a combination of presentations, demos, and hands-on labs, you’ll learn how to use proven design patterns on Google Cloud to build highly reliable and efficient solutions and operate deployments that are highly available and cost-effective.
Please note that this advanced course is intended for those who have already completed the Architecting with Google Compute Engine or the Architecting with Google Kubernetes Engine course, and assumes you have gained hands-on experience with the technologies covered in those sessions.
Our Architecting with Google Cloud: Design & Process course is delivered via Virtual Classroom. We also offer it as a private training session that can be delivered virtually or at a location of your choice in the US.
Course overview
Who should attend:
This course is ideal for Cloud solutions architects, site reliability engineers, systems operations professionals, DevOps engineers and IT managers. You’ll also benefit from taking it if you use Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure.
What you'll learn:
By the end of this course, you will be able to:
- Apply a tool set of questions, techniques and design considerations
- Define application requirements and express them objectively as KPIs, SLOs and SLIs
- 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 and 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
Prerequisites
To get the most out of this course you should have completed the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses. You’ll also need to have basic proficiency with command-line tools, and it’s recommended you have Systems Operations experience – including deploying and managing applications, either on-premises or in a public cloud environment.
Course agenda
- Describe users in terms of roles and personas
- Evaluate KPIs using SLOs and SLIs
- Determine the quality of application requirements using SMART criteria
- Decompose monolithic applications into microservices
- Recognize appropriate microservice boundaries
- Design consistent, standard RESTful service APIs
- Identify the 12-factor best practices for implementing services
- Automate service deployment using CI / CD pipelines
- Leverage Cloud Source Repositories for source and version control
- Automate builds with Cloud Build and build triggers
- Manage container images with Google Container Registry
- Identify the use cases for: Spanner, Cloud SQL, Firestore and Memorystore
- Discuss the design of VPC networks to optimize for cost, security, and performance
- Describe how global and regional load balancers provide access to services
- Connect networks using peering and VPNs
- Define hybrid networks between Google Cloud and on-premises data centers using Cloud Interconnect
- Choose the appropriate Google Cloud deployment service for your applications
- Configure scalable, resilient infrastructure using Instance Templates and Groups
- Orchestrate microservice deployments using Kubernetes and GKE
- Leverage App Engine for a completely automated platform as a service (PaaS)
- Design services to meet requirements for availability, durability, and scalability
- Identify the failures to be avoided to implement a fault-tolerant system
- Identify the best practices for designing secure systems
- Simplify cloud governance using organizational policies and folders
- Identify Google Cloud services that can be leveraged for access management
- Identify Google Cloud services that can be leveraged to mitigate DDoS attacks
- Manage new service versions using rolling updates, blue / green deployments, and canary releases
- Forecast, monitor, and optimize service costs using the Google Cloud pricing calculator and billing reports and by analyzing billing data
- Observe whether your services are meeting their SLOs using Cloud Monitoring and Dashboards
- Use Uptime Checks to determine service availability
- Respond to service outages using Cloud Monitoring Alerts