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Architecting with Google Cloud Platform: Design and Process

Learn how to build highly reliable and efficient solutions on Google Cloud Platform, using proven design patterns on this two-day course.
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2 day course
Supporting material
Virtual, Private
Virtual Classroom
A convenient and interactive learning experience, that enables you to attend one of our courses from the comfort of your own home or anywhere you can log on. We offer Virtual Classroom on selected live classroom courses where this will appear as an option under the location drop down if available. These can also be booked as Private Virtual Classrooms for exclusive business sessions.
Private
A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

As a Google Cloud Partner, we’ll share our experience on design patterns and the principles of Google Site Reliability Engineering (SRE).

Jellyfish has been selected by Google to facilitate the delivery of this two-day course. All of our trainers are experienced practitioners, so you can learn with total confidence.

This advanced course is a continuation of the Google Cloud Fundamentals: Core Infrastructure course and assumes you have gained the hands-on experience with the technologies covered in that course.

Through a combination of presentations, demos, and hands-on labs, you will 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.

This Architecting with Google Cloud Platform: Design and Process course is part of the Professional Cloud Architect track and is offered as a Virtual Classroom course, which will be hosted from the UK. It is also available as a private training session and can be delivered at our own training venues in the Rosebank Link, Johannesburg or Umhlanga, or any location of your choice.

Course overview
Who should attend:

Cloud Solutions Architects, Site Reliability Engineers, Systems Operations professionals, DevOps Engineers, IT managers.

Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform.

Walk away with the ability to:
  • 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
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 will need to have basic proficiency with command-line tools. It is also recommended you have Systems Operations experience, including deploying and managing applications, either on-premises or in a public cloud environment.

Course agenda
Module 1: Defining the Service
  • Describe users in terms of roles and personas
  • Write qualitative requirements with user stories
  • Write quantitative requirements using key performance indicators (KPIs)
  • Evaluate KPIs using SLOs and SLIs
  • Determine the quality of application requirements using SMART criteria
Module 2: Microservice Design and Architecture
  • Decompose monolithic applications into microservices
  • Recognise appropriate microservice boundaries
  • Architect stateful and stateless services to optimise scalability and reliability
  • Implement services using 12-factor best practices
  • Build loosely coupled services by implementing a well-designed REST architecture
  • Design consistent, standard RESTful service APIs
Module 3: DevOps Automation
  • 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
  • Create infrastructure with code using Deployment Manager and Terraform
Module 4: Choosing Storage Solutions
  • Choose the appropriate Google Cloud data storage service based on use case, durability, availability, scalability and cost
  • Store binary data with Cloud Storage
  • Store relational data using Cloud SQL and Spanner
  • Store NoSQL data using Firestore and Cloud Bigtable
  • Cache data for fast access using Memorystore
  • Build a data warehouse using BigQuery
Module 5: Google Cloud and Hybrid Network Architecture
  • Design VPC networks to optimise for cost, security, and performance
  • Configure global and regional load balancers to provide access to services
  • Leverage Cloud CDN to provide lower latency and decrease network egress
  • Evaluate network architecture using the Cloud Network Intelligence Center
  • Create hybrid networks between Google Cloud and on-premises data centers using Cloud Interconnect
Module 6: Deploying Applications to Google Cloud
  • 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)
  • Create serverless applications using Cloud Functions
Module 7: Designing Reliable Systems
  • Design services to meet requirements for availability, durability, and scalability
  • Implement fault-tolerant systems by avoiding single points of failure, correlated failures, and cascading failures
  • Avoid overload failures with the circuit breaker and truncated exponential backoff design patterns
  • Design resilient data storage with lazy deletion
  • Analyse disaster scenarios and plan for disaster recovery using cost/risk analysis
Module 8: Security
  • Design secure systems using best practices like separation of concerns, principle of least privilege, and regular audits
  • Leverage Cloud Security Command Center to help identify vulnerabilities
  • Simplify cloud governance using organisational policies and folders
  • Secure people using IAM roles, Identity-Aware Proxy, and Identity Platform
  • Manage the access and authorisation of resources by machines and processes using service accounts
  • Secure networks with private IPs, firewalls, and Private Google Access
  • Secure networks with private IPs, firewalls, and Private Google Access
Module 9: Maintenance and Monitoring
  • Manage new service versions using rolling updates, blue/green deployments, and canary releases
  • Forecast, monitor, and optimise service cost using the Google Cloud pricing calculator and billing reports and by analysing 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 and processes using service accounts
Upcoming courses
Virtual Classroom
Architecting with Google Cloud Platform: Design and Process
Mon, Feb 15 2021
R11,950 ex VAT
ADD TO BASKET
Virtual Classroom
Architecting with Google Cloud Platform: Design and Process
Mon, Apr 26 2021
R11,950 ex VAT
ADD TO BASKET
Upcoming courses
Virtual Classroom
Architecting with Google Cloud Platform: Design and Process
Mon, Feb 15 2021
R11,950 ex VAT
ADD TO BASKET
Virtual Classroom
Architecting with Google Cloud Platform: Design and Process
Mon, Apr 26 2021
R11,950 ex VAT
ADD TO BASKET
Book this course
R11,950 ex VAT
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