Course Duration
2 Days
Google
Authorized Training
IT
Course cost:
was £2,055 + VAT
£1,850 + VAT
IT Certification Overview
This two-day instructor-led course teaches students how to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It covers designing secure, highly available, and cost-effective Google Cloud deployments, and is intended for those with hands-on experience from previous Google Cloud courses. The course combines presentations, design activities, and hands-on labs to help participants operate and manage Google Cloud environments.
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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
Target 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 Google Cloud
Learning Objectives
- 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, resilient applications balancing key performance metrics with cost
Architecting with Google Cloud: Design and Process Course Content
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
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
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
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
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
- Connect networks using peering and VPNs
- Create hybrid networks between Google Cloud and on-premises data centres using Cloud Interconnect
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
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
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
- Mitigate DDoS attacks by leveraging Cloud DNS and Cloud Armor
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
Exams and Assessments
There are no assessments or exams available.
Hands-on Learning
Google class this is a Technical course which includes lecture and labs for technical audiences. It is designed for up to 16 learners.
Participants engage in design activities and hands-on labs to practise building, deploying, and managing Google Cloud solutions.
Upcoming Dates
Dates and locations are available on request. Please contact us for the latest schedule.
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