Cloud Architecture & Innovation Advanced Program

This module covers the design of high availability and disaster recovery strategies, including solutions for backup, data storage for both relational and non-relational databases, and data integration. It also explores design practices in Azure for applications and networks, as well as monitoring and governance. It is geared towards the Microsoft Azure Cloud Architect AZ-305 certification.

1. Essential Knowledge of Azure
2. Designing Identity, Governance, and Monitoring Solutions:
   • Logging and Monitoring Solutions
   • Authentication and Authorization
   • Governance in Azure
3. Designing Data Storage Solutions:
   • Relational Data Storage
   • Semi-Structured and Unstructured Data Storage
   • Data Integration
4. Designing Business Continuity Solutions:
   • Backup and Disaster Recovery Solutions
   • High Availability
5. Designing Infrastructure Solutions:
   • Computing Solutions
   • Application Architecture
   • Migrations
6. Designing Networking Solutions:
   • Connectivity of Azure Resources to the Internet
   • Connectivity of Azure Resources to On-Premises Networks
   • Network Performance Optimization
   • Network Security Optimization
   • Load Balancing and Routing

This module focuses on designing and managing solutions in Amazon Web Services, with an emphasis on security, regulatory compliance, and the optimization of technical and business processes.

1. Migration of Solutions:
   • Migration Hub
   • AWS DataSync
   • Transfer Family
   • Snow Family
   • S3 Transfer Acceleration
   • AWS app Migration Service
   • AWS Database Migration Service
   • AWS Schema Conversion Tool
2. Designing Reliable Architectures:
   • Replications in S3, RDS, ElastiCache
   • Application Integration with SNS, SQS, and AWS Step Functions
3. Designing Network Connectivity Strategies:
   • VPCs
   • VPN
   • Direct Connect
   • DNS
   • CloudWatch Monitoring
4. Designing Reliable and Resilient Architectures:
   • Disaster Recovery
   • Backup
5. Security Controls
   • IAM, Security Groups, and Network ACLs
   • KMS, Certificate Manager, CloudTrail
6. Security Hub:
   • Amazon Inspector, Secret Mansger, Systems Manager
7. New Architectures:
   • EKS, Fargate, ECR
   • S3, SAI
   • DynamoDB, Aurora Serverless
   • ElastiCache
   • EventDrigde
   • Lambda
8. Cost Optimization Strategies and Visibility:
   • AWS Trsted Advistor, Price Calculator, Cost Explorere
   • AWS Compute Optimizer, S3 storage Lens, Budgets
9. Designing AWS Multi-Account Environments:
   • AWS Organisations, AWS Control Tower, Notifications

This module focuses on designing and managing solutions in Google Cloud Platform, with an emphasis on security, regulatory compliance, and the optimization of technical and business processes.

1. Designing for Security and Regulatory Compliance:
   • Identity and Access Management
   • Service Accounts
   • Key Management Service
   • VPC Service Countrol
   • Organisational Policies
2. Designing and Planning IaaS Architecture for Cloud Solutions:
   • Designing Networking Solutions
   • Designing Process Solutions
   • Data Storage
   • Migrations to GCP
3. Managing Serverless Architecture Deployments in GCP:
   • Designing Serverless Solutions
   • Designing APIs
   • Databases
4. Ensuring the Reliability of Solutions and Operations:
   • Integrated Monitoring and Alerting Creation
5. Analyzing and Optimizing Technical and Business Processes:
   • Software Development Lifecycle
6. Big Data and ETL in the Enterprise:
   • Data Ingestion and Transformation Architectures

This module provides a comprehensive understanding of agile methodologies, including Scrum and other agile approaches, distinguishing them from traditional methodologies and discussing their applications, challenges, and metrics.

1. What are Agile Methodologies?
   • Industrial Heritage
   • The Technological Revolution
   • Agilism and Agile Principles
   • Derivatives of Agile Principles
   • Traditional Projects vs. Agile Projects
   • Challenges of Agile Methodologies
2. Introduction to Scrum:
   • Scrum in an Image
   • Roles and Responsibilities
   • The Product Owner
   • The Team
   • The Scrum Master
   • Minor Roles
   • Problems We May Encounter
3. Scrum Artifacts:
   • User Stories
   • The Product Backlog
   • The Sprint Backlog
   • The Impediments Backlog
   • The Definition of Done
4. Phases of a Scrum project:
   • The Inception Phase
   • The week before each Sprint
   • The Sprint
   • The last day of the Sprint
   • The first day of the next Sprint
   • Meetings, meetings and meetings
5. Scrum metrics and measures:
   • Points for History
   • Speed per Sprint
   • What can we deduce from the speed of a Scrum team?
   • Other important Srum metrics
6. Estimation of agile projects:
   • How do we calculate the scope?
   • How do we calculate time?
   • How do we calculate the cost?
7. Scaling Agile projects:
   • The T-Shape approach
   • Cells and reproduction by mitosis of the equipment
   • Other organisational models and scaling
8. Criticisms of Agile and Final Summary

Explore the design, implementation, and orchestration of container-based architectures, using Kubernetes, AKS, and orchestration tools to update and maintain containerised applications.

1. Design of container-based solutions:
   • Container Instance
   • Azure Kubernetes Services
2. Implementation of Microservices architectures with containers:
   • Communication patterns (API gateway, Service Registry, Service Discovery)
   • Resilience patterns (Circuit Breaker, Retry, Timeout)
3. Orchestration of container-based application releases:
   • Rolling updates and rollbacks
   • Kubernetes Deployments (canary, blue/green, a/b testing)
4. Monitoring:
   • Prometheus and Grafana
5. Service Mesh:
   • Networking
   • Istio

This module focuses on using Terraform to implement infrastructure as code, covering multi-cloud strategies and automated governance for scalable solutions.

• What is Terraform and how does it work?
• Pros, Cons, How it works. VScode, download, SP (Azure) and SA (GCP) creation.
• Documentation Site, Providers and Commands. Scaffolding. Global variables. Local variables. TFVars. Resources. Datasources
• TFState. Remote backend. Storageaccount. GCS bucket. Auth, config and operation
• Infrastructure as multi-cloud code
• Provisioning of infrastructure in Azure and Google. Implicit and explicit dependencies.
• AZDO vars. TF in GIt. Pipelines with TF. Vars replacement. Workspaces and Environments
• Modules and good practices when defining them. Output vars. State Management. Unlock.
• Automation and Scalability
• TF Unit Tests. Validate. Shift Left pipelines. Var workspace - Conditionals and loops
• Good practice in template definition
• Security: State, Credentials. Hashicorp vault.

Develops competencies in the implementation of continuous delivery solutions, including continuous integration and deployment, with a focus on early testing and release management with feature flags.

1. Strategies for Solution Delivery (CI/CD) as Code:
   • YML pipelines, Stages, Jobs, Tasks, Vars and Params
   • Conditions, Expressions, Templates, Triggers, Strategies, Parallelization
   • YML lifecycles
   • Traceability, Auto-Tagging, Versioning, Mono-Repo Designs
2. Design and implementation of downtime-free deployments:
   • Blue/Green from Release/CD
   • Canary deployment
   • Parallelisation of traffic
3. Implementation of controls and validations on the left:
   • Shift-Left-Testing
   • UT
   • AT FE/UI
   • AT API Testing
4. Release management with Feature Flagging:
   • Deploy vs Release
   • Trunk based development & Feature flagging

This module examines the crucial role of data in organisations, exploring data lakes, real-time and batch data processing, and the use of analytics and machine learning to extract business insights.

1. Data in Business
   • The importance of data in the business world
2. Business Data Lakes
   • What is a data lake?
3. Enterprise Data Lake Processing
   • Data lakes and their relationship to business
4. Real-life case studies
   • Business use cases for analytics

An asynchronous module in which time will be provided to prepare for and take the certification exams included in the program. IMMUNE, in this case, acts as a facilitator in connecting the certifying entity and the student, easing the process but without having authority over the exam or the grades obtained by the students.

• Team building.
• Choice of topic for final project.
• Assignment of tutors.
• Development of the project with an assigned tutor.
• Project delivery.

Presentation of the final project before a panel of experts.