Architecting with Google Cloud: Design and Process
This 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. This course was created for those who have already completed the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine course.
- Duration: 2 days
- Languages: English, German
- Level: Intermediate
- Group size: Up to 16
What you'll learn
- 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 Cloud Monitoring.
Prerequisites
- Have completed Architecting with Google Compute Engine, Architecting with Google Kubernetes Engine, or have equivalent experience.
- Have basic proficiency with command-line tools and Linux operating system environments.
- Have systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment.
Course outline
Defining the Service
Microservice Design and Architecture
DevOps Automation
Choosing Storage Solutions
Google Cloud and Hybrid Network Architecture
Deploying Applications to Google Cloud
Designing Reliable Systems
Security
Maintenance and Monitoring
Related courses
Architecting with Google Compute Engine
This course will familiarize you with Google Cloud's flexible infrastructure and platform services, with a specific focus on Compute Engine. This course uses a combination of lectures, demos, and hands-on labs to explore and deploy solution elements, including infrastructure components like networks, systems, and application services. You'll also learn how to deploy practical solutions such as hybrid networking, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
Architecting with Google Kubernetes Engine
Learn how to deploy and manage containerized applications on Google Kubernetes Engine (GKE). Learn how to use other tools on Google Cloud that interact with GKE deployments. This course features a combination of lectures, demos, and hands-on labs to help you explore and deploy solution elements-including infrastructure components like pods, containers, deployments, and services-along with networks and application services. You'll also learn how to deploy practical solutions, including security and access management, resource management, and resource monitoring.
Essentials of Monitoring Critical Systems
This course provides an overview of Google Cloud Monitoring. Participants will learn to monitor across multiple projects, build insightful dashboards, and create uptime checks for resource availability. They will explore querying with Prometheus Query Language (PromQL) for advanced analysis and learn how to enhance observability using the AI-powered capabilities of Google Cloud Gemini.
Not sure which course fits?
Book a 30-minute call. We'll look at where your team is, what they need to be able to do, and put together either a specific course date or a tailored learning plan.