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Architecting with Google Cloud - Design and Process Training

Drive Team Excellence with Architecting with Google Cloud - Design and Process Corporate Training

Empower your teams with expert-led on-site/in-house or virtual/online Architecting with Google Cloud - Design and Process Training through Edstellar, a premier corporate training company for organizations globally. Our tailored Architecting with Google Cloud - Design and Process corporate training course equips your employees with the skills, knowledge, and cutting-edge tools needed for success. Designed to meet your specific needs, this Architecting with Google Cloud - Design and Process group training program ensures your team is primed to drive your business goals. Transform your workforce into a beacon of productivity and efficiency.

Architecting with Google Cloud - Design and Process is a course designed to empower professionals with a comprehensive understanding of how to architect and design solutions using Google Cloud technologies. The training is indispensable for organizations leveraging cloud computing to enhance their operational efficiency, agility, and innovation capabilities. The need for Architecting with Google Cloud - Design and Process training course stems from the growing complexity of cloud environments and the continuous evolution of cloud services, necessitating a deep understanding of cloud architecture to deploy and manage cloud-based solutions effectively.

Edstellar's instructor-led Architecting with Google Cloud - Design and Process training course offers virtual/onsite training options delivered by industry experts with years of experience in the domain. The course is distinguished by its practical, hands-on approach and customizable curriculum, designed to meet the organization's specific needs. Professionals will benefit from real-world insights and the flexibility to tailor the learning experience, ensuring they gain the most relevant and impactful skills.

Key Skills Employees Gain from Architecting with Google Cloud - Design and Process Training

Architecting with Google Cloud - Design and Process skills corporate training will enable teams to effectively apply their learnings at work.

  • Cloud Architecture
  • Design Principles
  • Scalability Planning
  • Performance Optimization
  • Cost Management
  • Data Management

Key Learning Outcomes of Architecting with Google Cloud - Design and Process Training

Edstellar’s Architecting with Google Cloud - Design and Process training for employees will not only help your teams to acquire fundamental skills but also attain invaluable learning outcomes, enhancing their proficiency and enabling application of knowledge in a professional environment. By completing our Architecting with Google Cloud - Design and Process workshop, teams will to master essential Architecting with Google Cloud - Design and Process and also focus on introducing key concepts and principles related to Architecting with Google Cloud - Design and Process at work.


Employees who complete Architecting with Google Cloud - Design and Process training will be able to:

  • Apply DevOps principles to automate and streamline operations, enhancing collaboration between development and operations teams 
  • Select the most appropriate Google Cloud storage solutions for various data types, optimizing for performance, cost, and scalability in data management strategies
  • Ensure the security and compliance of cloud-based solutions, employing Google Cloud security tools to protect data and applications from internal and external threats
  • Implement microservices architectures effectively, leveraging Google Cloud technologies to transition from monolithic to distributed systems, thereby increasing agility and scalability
  • Automate deployment and operational processes using continuous integration and continuous deployment (CI/CD) pipelines, thereby reducing manual errors and increasing efficiency in software development cycles

Key Benefits of the Architecting with Google Cloud - Design and Process Corporate Training

Attending our Architecting with Google Cloud - Design and Process classes tailored for corporations offers numerous advantages. Through our on-site/in-house or virtual/online Architecting with Google Cloud - Design and Process training classes, participants will gain confidence and comprehensive insights, enhance their skills, and gain a deeper understanding of Architecting with Google Cloud - Design and Process.

  • Develop skills in DevOps automation, mastering the use of CI/CD pipelines for efficient deployment processes that enhance product quality
  • Learn the principles of cloud architecture to design solutions that are scalable, secure, and highly available, ensuring the projects are built for success from the ground up
  • Develop an in-depth understanding of security principles and practices, securing the cloud environment against threats and vulnerabilities to protect data and applications
  • Explore the vast array of Google Cloud data storage services, gaining the ability to choose the most appropriate solutions, ensuring optimal performance and cost-efficiency
  • Equip professionals with the knowledge to decompose monolithic applications into microservices, enabling the organization to adopt a more flexible approach to software development

Topics and Outline of Architecting with Google Cloud - Design and Process Training

Our virtual and on-premise Architecting with Google Cloud - Design and Process training curriculum is divided into multiple modules designed by industry experts. This Architecting with Google Cloud - Design and Process training for organizations provides an interactive learning experience focused on the dynamic demands of the field, making it relevant and practical.

  1. Describe users in terms of roles and personas
    • Identifying key user roles
    • Creating detailed user personas
    • Mapping user journeys
  2. Write qualitative requirements with user stories
    • Crafting effective user stories
    • Prioritizing user stories for development
    • Bridging user stories with product goals
  3. Write quantitative requirements using Key Performance Indicators (KPIs)
    • Defining relevant KPIs for projects
    • Setting measurable objectives
    • Tracking and measuring success
  4. Evaluate KPIs using SLOs and SLIs
    • Differentiating between SLOs and SLIs
    • Implementing SLOs and SLIs in project tracking
    • Adjusting strategies based on SLO and SLI outcomes
  5. Determine the quality of application requirements using SMART criteria
    • Applying SMART criteria to requirement definition
    • Ensuring requirements are Specific, Measurable, Achievable, Relevant, and Time-bound
    • Reviewing and refining requirements
  1. Decompose monolithic applications into microservices
    • Identifying components for microservice architecture
    • Strategies for decomposing a monolithic system
    • Overcoming challenges in decomposition
  2. Recognize appropriate microservice boundaries
    • Defining clear and logical service boundaries
    • Avoiding common pitfalls in microservice separation
    • Enhancing service autonomy and cohesion
  3. Architect stateful and stateless services to optimize scalability and reliability
    • Stateful vs. Stateless architectures
    • Designing scalable services
    • Ensuring reliability in microservice designs
  4. Implement services using 12-factor best practices
    • Exploring the 12-factor app methodology
    • Practical applications of each factor
    • Benefits of the 12-factor approach
  5. Build loosely coupled services by implementing a well-designed REST architecture
    • Principles of RESTful design
    • Ensuring loose coupling and high cohesion
  6. Design consistent, standard RESTful service APIs
    • Developing a REST API naming convention
    • Standardizing responses and error handling
    • Implementing versioning strategies
  1. Automate service deployment using CI/CD pipelines
    • Setting up CI/CD workflows
    • Integrating testing into pipelines
  2. Leverage Cloud Source Repositories for source and version control
    • Utilizing Cloud Source Repositories
    • Strategies for effective version control
    • Integrating with CI/CD pipelines
  3. Automate builds with Cloud Build and build triggers
    • Configuring Cloud Build
    • Setting up and managing build triggers
    • Optimizing build processes
  4. Manage container images with Google Container Registry
    • Storing and managing images in the Container Registry
    • Integrating with Kubernetes and GKE
  5. Create infrastructure with code using deployment manager and terraform
    • Introduction to Infrastructure as Code (IaC)
    • Comparing deployment manager and terraform
  1. Choose the appropriate Google Cloud data storage service based on use case, durability, availability, scalability, and cost
    • Assessing storage requirements
    • Comparing Google Cloud storage options
    • Making informed storage decisions
  2. Store binary data with Cloud Storage
    • Configuring Cloud Storage buckets
    • Implementing data lifecycle policies
    • Securing stored data
  3. Store relational data using Cloud SQL and Spanner
    • Choosing between Cloud SQL and Spanner
    • Managing scalability and performance
  4. Store NoSQL data using Firestore and Cloud Bigtable
    • Deciding between Firestore and Cloud Bigtable
    • Designing for NoSQL data models
    • Optimizing NoSQL database performance
  5. Cache data for fast access using Memorystore
    • Implementing caching strategies with Memorystore
    • Configuring and managing Memorystore instances
  6. Build a data warehouse using BigQuery
    • Introduction to data warehousing with BigQuery
    • Loading and querying data in BigQuery
  1. Design VPC networks to optimize for cost, security, and performance
    • Creating and managing VPCs
    • Implementing network security measures
    • Cost optimization strategies for networking
  2. Configure global and regional load balancers to provide access to services
    • Setting up load balancing
    • Choosing between global and regional options
    • Ensuring high availability and fault tolerance
  3. Leverage Cloud CDN to provide lower latency and decrease network egress
    • Integrating Cloud CDN with services
    • Configuring CDN settings for optimal performance
    • Measuring improvements in latency and costs
  4. Evaluate network architecture using the Cloud Network Intelligence Center
    • Utilizing network monitoring and optimization tools
    • Identifying and resolving network issues
  5. Connect networks using peering and VPNs
    • Setting up network peering
    • Configuring VPNs for secure connections
    • Considerations for hybrid networking
  6. Create hybrid networks between Google Cloud and on-premises data centers using Cloud Interconnect
    • Introduction to Cloud Interconnect
    • Planning and implementing a hybrid network
    • Managing and monitoring hybrid connections
  1. Choose the appropriate Google Cloud deployment service for the applications
    • Evaluating deployment options
    • Matching services with application needs
    • Service trade-offs
  2. Configure scalable, resilient infrastructure using instance templates and groups
    • Creating and managing instance templates
    • Scaling applications with instance groups
    • Implementing auto-scaling policies
  3. Orchestrate microservice deployments using Kubernetes and GKE
    • Setting up Kubernetes clusters in GKE
    • Deploying applications with Helm charts
    • Managing microservices with Kubernetes
  4. Leverage app engine for a completely automated platform as a service (PaaS)
    • Deploying applications on the app engine
    • Configuring App Engine environments
  5. Create serverless applications using Cloud functions
    • Building event-driven architectures
    • Deploying and managing Cloud functions
    • Integrating Cloud functions with other Google Cloud services
  1. Design services to meet requirements for availability, durability, and scalability
    • Identifying key system design principles
    • Ensuring high availability and data durability
    • Strategies for scalable system design
  2. Implement fault-tolerant systems by avoiding single points of failure, correlated failures, and cascading failures
    • Architecting for fault tolerance
    • Mitigating risks of correlated and cascading failures
    • Implementing redundancy and failover mechanisms
  3. Avoid overload failures with the circuit breaker and truncated exponential backoff design patterns
    • Understanding and applying the circuit breaker pattern
    • Implementing truncated exponential backoff for API calls
    • Protecting systems from overload
  4. Design resilient data storage with lazy deletion
    • Strategies for data durability and resilience
    • Implementing lazy deletion for data management
    • Balancing performance and consistency
  5. Analyze disaster scenarios and plan for disaster recovery using cost/risk analysis
    • Conducting disaster recovery planning
    • Performing cost/risk analysis for disaster scenarios
    • Establishing recovery objectives and strategies
  1. Design secure systems using best practices like separation of concerns, the principle of least privilege, and regular audits
    • Applying core security principles
    • Enforcing least privilege access
    • Planning and conducting security audits
  2. Leverage Cloud Security Command Center to help identify vulnerabilities
    • Monitoring security posture with Cloud Security Command Center
    • Identifying and mitigating vulnerabilities
    • Integrating security findings into the development cycle
  3. Simplify cloud governance using organizational policies and folders
    • Structuring resources for effective governance
    • Applying organizational policies
    • Managing resources with folders and projects
  4. Secure people using IAM roles, Identity-Aware Proxy, and Identity Platform
    • Configuring IAM roles for security
    • Implementing Identity-Aware Proxy for secure access
    • Using Identity Platform for user authentication and management
  5. Manage the access and authorization of resources by machines and processes using service accounts
    • Creating and managing service accounts
    • Securing service account access
  6. Secure networks with private IPs, firewalls, and Private Google Access
    • Implementing private networking in Google Cloud
    • Configuring firewalls for secure access
    • Using Private Google Access for internal services
  7. Mitigate DDoS attacks by leveraging Cloud DNS and Cloud Armor
    • Protecting applications with Cloud Armor
    • Using Cloud DNS for security and performance
    • Strategies for DDoS mitigation
  1. Manage new service versions using rolling updates, blue/green deployments, and canary releases
    • Strategies for zero-downtime deployments
    • Implementing rolling, blue/green, and canary updates
    • Managing version transitions
  2. Forecast, monitor, and optimize service costs using the Google Cloud pricing calculator, billing reports, and billing data analysis
    • Estimating costs with the pricing calculator
    • Analyzing billing reports for cost management
    • Identifying opportunities for cost optimization
  3. Observe whether your services are meeting their SLOs using Cloud Monitoring and dashboards
    • Setting up and using Cloud Monitoring
    • Creating custom dashboards for SLO tracking
    • Analyzing performance against SLOs
  4. Use uptime checks to determine service availability
    • Configuring uptime checks for critical services
    • Responding to availability alerts
    • Improving service reliability with uptime data
  5. Respond to service outages using Cloud monitoring alerts
    • Setting up alerts for service metrics
    • Implementing incident response plans
    • Analyzing outage causes for continuous improvement

Target Audience for Architecting with Google Cloud - Design and Process Training Course

The Architecting with Google Cloud - Design and Process training course is ideal for cloud architects, systems engineers, DevOps engineers, IT managers, solution architects, and systems operations professionals.

The Architecting with Google Cloud - Design and Process training program can also be taken by professionals at various levels in the organization.

  • Architecting with Google Cloud - Design and Process training for managers
  • Architecting with Google Cloud - Design and Process training for staff
  • Architecting with Google Cloud - Design and Process training for leaders
  • Architecting with Google Cloud - Design and Process training for executives
  • Architecting with Google Cloud - Design and Process training for workers
  • Architecting with Google Cloud - Design and Process training for businesses
  • Architecting with Google Cloud - Design and Process training for beginners
  • Architecting with Google Cloud - Design and Process group training
  • Architecting with Google Cloud - Design and Process training for teams
  • Architecting with Google Cloud - Design and Process short course

Prerequisites for Architecting with Google Cloud - Design and Process Training

Professionals with a basic understanding of cloud computing concepts and Google Cloud Platform can take the Architecting with Google Cloud - Design and Process training course.

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At Edstellar, we understand the importance of impactful and engaging training for employees. To ensure the training is more interactive, we offer Face-to-Face onsite/in-house or virtual/online for companies. This approach has proven to be effective, outcome-oriented, and produces a well-rounded training experience for your teams.

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Organizations can scale learning by accommodating large groups of participants
Interactive tools can be used to enhance learning engagement
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Edstellar's onsite training delivers immersive and insightful learning experiences right in the comfort of your office.

Higher engagement and better learning experience through face-to-face interaction
Workplace environment can be tailored to learning requirements
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Demonstration of processes for hands-on learning and better understanding
Participants can get their doubts clarified and gain valuable insights through direct interaction
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Edstellar's off-site training programs offer a unique opportunity for teams to immerse themselves in focused and dynamic learning environments away from their usual workplace distractions.

Distraction-free environment improves learning engagement
Team bonding can be improved through activities
Dedicated schedule for training away from office set up can improve learning effectiveness
Boosts employee morale and reflects organization's commitment to employee development

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        Course Completion Certificate

        Upon successful completion of the Architecting with Google Cloud - Design and Process training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

        This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

        Course Completion Certificate

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