Overview

This two-day instructor-led class 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 course 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 design Google Cloud deployments that are highly reliable and secure; and how to operate Google Cloud deployments in a highly available and cost-effective manner.

Audience:

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 the Google Cloud.

Read more

Prerequisites

Completion of Architecting with Google Compute Engine, Architecting with Google Kubernetes Engine or equivalent experience Basic proficiency with command-line tools and Linux operating system environments Systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment

Read more

Learning Outcomes

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

Read more

Course Outline

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.
  • Recognize appropriate microservice boundaries.
  • Architect stateful and stateless services to optimize 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 optimize 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.
  • Connect networks using peering and VPNs.
  • 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.
  • Analyze 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 organizational policies and folders.
  • Secure people using IAM roles, Identity-Aware Proxy, and Identity Platform.
  • Manage the access and authorization of resources by machines and processes using service accounts.
  • Secure networks with private IPs, firewalls, and Private Google Access.
  • Mitigate DDoS attacks by leveraging Cloud DNS and Cloud Armor.

Module 9: Maintenance and Monitoring

  • Manage new service versions using rolling updates, blue/green deployments, and canary releases.
  • Forecast, monitor, and optimize service cost 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.
Read more

Why choose QA

Dates & Locations

GCP learning paths

Want to boost your career in Google Cloud Platform? Click on the roles below to see QA‘s learning pathways, specially designed to give you the skills to succeed.

= Required
= Certification
Data Scientist
Data Engineer
Developer Software Development Experience
Architect Enterprise Architecture Experience
Administrator Windows Administrator Experience

Frequently asked questions

See all of our FAQs

How can I create an account on myQA.com?

There are a number of ways to create an account. If you are a self-funder, simply select the "Create account" option on the login page.

If you have been booked onto a course by your company, you will receive a confirmation email. From this email, select "Sign into myQA" and you will be taken to the "Create account" page. Complete all of the details and select "Create account".

If you have the booking number you can also go here and select the "I have a booking number" option. Enter the booking reference and your surname. If the details match, you will be taken to the "Create account" page from where you can enter your details and confirm your account.

Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.

How do QA’s virtual classroom courses work?

Our virtual classroom courses allow you to access award-winning classroom training, without leaving your home or office. Our learning professionals are specially trained on how to interact with remote attendees and our remote labs ensure all participants can take part in hands-on exercises wherever they are.

We use the WebEx video conferencing platform by Cisco. Before you book, check that you meet the WebEx system requirements and run a test meeting (more details in the link below) to ensure the software is compatible with your firewall settings. If it doesn’t work, try adjusting your settings or contact your IT department about permitting the website.

Learn more about our Virtual Classrooms.

How do QA’s online courses work?

QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course. When you book a QA online learning course you will receive immediate access to it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.

All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.

Learn more about QA’s online courses.

When will I receive my joining instructions?

Joining instructions for QA courses are sent two weeks prior to the course start date, or immediately if the booking is confirmed within this timeframe. For course bookings made via QA but delivered by a third-party supplier, joining instructions are sent to attendees prior to the training course, but timescales vary depending on each supplier’s terms. Read more FAQs.

When will I receive my certificate?

Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.

Contact Us

Please contact us for more information