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- Architecting with Google Cloud: Design and Process
Architecting with Google Cloud: Design and Process
Course Code: GC-AGCD
This two-day instructor-led course features a combination of lectures, design activities, and hands-on labs to show you 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. 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.
This course is intended for the following participants:
- Cloud Solutions Architects
- Site Reliability Engineers
- Systems Operations professionals
- DevOps Engineers
- IT managers
- Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with Google Cloud
This course is intended for the following participants:
- Cloud Solutions Architects
- Site Reliability Engineers
- Systems Operations professionals
- DevOps Engineers
- IT managers
- Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with Google Cloud
There is no international certification linked to this course currently.
Modules
- 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.
- Recognise appropriate microservice boundaries
- Design consistent, standard RESTful service APIs.
- Identify the 12-factor best practices for implementing services.
- Discuss the automation of service deployment using CI/CD pipelines.
- Explain how to leverage Cloud Source Repositories for source and version control.
- Automate builds with Cloud Build and build triggers.
- Container Registry Manage container images with.
- Identify the use cases for Spanner.
- Identify the use cases for Cloud SQL.
- Identify the use cases for Firestore.
- Identify the use cases for Memorystore.
- Discuss the design of VPC networks to optimise 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 centres 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).
- Discuss the design of 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.
- Discuss the use of organisational policies and folders to simplify cloud governance.
- Identify Google Cloud services that can be leveraged for access management.
- Identify Google Cloud services that can be leveraged to mitigate DDoS attacks.
- Discuss different ways to manage new service versions.
- Describe how to forecast, monitor, and optimise service costs.
- Observe if 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.