Duration: 5 days – 35 hrs
Overview
The Mastering GCP Architecture Training Course is an advanced program designed for experienced IT professionals and cloud practitioners aiming to deepen their expertise in designing, implementing, and managing complex, scalable, and secure solutions on Google Cloud Platform (GCP). This course covers advanced architectural patterns, GCP services, and best practices for building resilient and optimized cloud architectures. Through in-depth lectures, hands-on labs, and real-world scenarios, participants will gain the skills needed to tackle sophisticated cloud challenges and achieve excellence in GCP architecture.
Objectives
• Advanced Architectural Patterns: Master advanced design patterns and best practices for building complex solutions on GCP.
• Scalable and Resilient Architectures: Learn how to design highly available, fault-tolerant, and scalable architectures using advanced GCP services.
• Advanced Security Practices: Deep dive into advanced security features and strategies to protect GCP environments.
• Cost Optimization Techniques: Explore advanced techniques for managing and optimizing costs while maintaining performance and reliability.
• Performance Tuning and Monitoring: Gain expertise in optimizing and monitoring GCP services for peak performance.
• Hybrid and Multi-Cloud Architectures: Understand how to design and implement hybrid and multi-cloud architectures using GCP and other cloud platforms.
Audience
• Experienced GCP Solutions Architects: Professionals with foundational knowledge and experience in designing and implementing solutions on Google Cloud Platform (GCP).
• Senior IT Professionals: IT leaders and engineers with significant experience in cloud computing and infrastructure design.
• DevOps Engineers: Individuals responsible for managing and optimizing complex GCP environments and implementing advanced DevOps practices.
• System Architects: Architects designing large-scale, resilient, and highly available systems on GCP.
• Cloud Engineers: Engineers focused on advanced cloud infrastructure who need to master GCP services and architecture.
• Security Engineers: Security experts looking to enhance their understanding of advanced security features and best practices on GCP.
• Network Architects: Professionals specializing in network design and management within GCP and hybrid/multi-cloud environments.
• Technical Leads and Managers: Leaders overseeing cloud projects who need to understand and implement advanced architectural principles and practices.
• IT Consultants: Consultants advising clients on cloud adoption and architecture who need in-depth knowledge of GCP.
• Candidates for GCP Certification: Individuals preparing for the Google Cloud Professional Cloud Architect certification and seeking advanced skills in GCP architecture.
Prerequisites
• Prior GCP Experience: Significant hands-on experience with Google Cloud Platform (GCP) services and solutions.
• Knowledge of Core GCP Services: Strong understanding of key GCP services, including Compute Engine, Cloud Storage, Networking, and BigQuery.
• GCP Professional Cloud Architect Certification: Recommended but not required.
• Experience in Designing and Implementing GCP Solutions: Practical experience in creating scalable, secure, and resilient architectures on GCP.
Course Content
Section 1: Designing and Planning Cloud Solution Architecture
• Advanced Design Scenarios: Addressing complex business and technical requirements.
• Cost Optimization Techniques: Detailed strategies for minimizing costs while maximizing efficiency.
• Integration with External Systems: Designing hybrid and multicloud architectures.
• Data Movement Strategies: Advanced techniques for efficient data transfer and processing.
• Migration and Future Planning: Creating detailed migration plans and preparing for future improvements.
Section 2: Managing and Provisioning Solution Infrastructure
• Advanced Network Configurations: Hybrid connectivity, optimizing network topologies.
• Complex Storage Systems: Data lifecycle management, advanced data storage strategies.
• Sophisticated Compute Provisioning: Handling volatile compute needs, using preemptible VMs, and custom machine types.
Section 3: Designing for Security and Compliance
• In-depth Security Architectures: Detailed IAM configurations, and advanced data security (encryption, key management).
• Compliance Deep Dive: Navigating complex compliance requirements, and designing for industry-specific legislation.
Section 4: Analyzing and Optimizing Technical and Business Processes
• Technical Process Optimization: Implementing SDLC, CI/CD, and testing/validation best practices.
• Business Process Management: Change management, stakeholder management, and decision-making processes.
• Ensuring Reliability: Developing procedures like chaos engineering and penetration testing.
Section 5: Managing Implementation
• Deployment Strategies: Advanced deployment techniques, using Google Cloud SDK and Cloud Emulators.
• Programmatic Interactions: Scripting and automating tasks with gcloud, gsutil, and bq.
Section 6: Ensuring Solution and Operations Reliability
• Comprehensive Monitoring and Logging: Setting up sophisticated monitoring and logging for high availability.
• Release and Deployment Management: Best practices for smooth rollouts and updates.
• Support and Quality Control: Evaluating and improving the quality of deployed solutions.
Capstone Projects and Case Studies
• Complex Application Deployment: Designing and deploying a scalable and secure multi-tier web application using GCP services.
• Hybrid and Multicloud Integration: Setting up a hybrid cloud environment that integrates seamlessly with on-premises infrastructure.
• Data Intensive Application Design: Building and deploying a data-heavy application leveraging BigQuery, Dataflow, and AI Platform.
