Visão Geral

Este Curso Cloud Cost Optimization Strategies Across Azure Power Platform Power BI & Fabric, fornece uma visão estratégica, técnica e operacional sobre otimização de custos em ambientes Microsoft Cloud, cobrindo Azure, Power Platform, Power BI e Microsoft Fabric sob a ótica de FinOps, arquitetura, engenharia e governança. O treinamento capacita profissionais a identificar desperdícios, projetar arquiteturas custo-eficientes, automatizar controles financeiros e alinhar decisões técnicas com objetivos de negócio, incluindo workloads de dados, DevOps, IA e low-code.

Objetivo

Após realizar este curso Cloud Cost Optimization Strategies Across Azure, Power Platform, Power BI & Fabric, você será capaz de:

• Compreender modelos de custos e economia da nuvem pública
• Aplicar princípios FinOps em ambientes Azure corporativos
• Projetar Landing Zones com controle financeiro embutido
• Identificar e eliminar desperdícios de recursos
• Otimizar custos em workloads de compute, containers e dados
• Aplicar estratégias custo-eficientes para desenvolvedores e DevOps
• Reduzir custos em Power Platform, Power BI e Fabric
• Otimizar consumo de serviços de IA e Machine Learning
• Automatizar governança, relatórios e políticas de custo

Publico Alvo

• Arquitetos de Cloud
• Engenheiros de Plataforma e DevOps
• FinOps Practitioners
• Administradores de Azure
• Engenheiros de Dados
• Administradores de Power Platform, Power BI e Fabric
• Gestores de TI e Tecnologia

Materiais

Conteúdo Programatico

Module 1: Cloud Cost Fundamentals

1. Public Cloud Pricing Models
2. Azure Economics vs Traditional Infrastructure
3. FinOps Principles and Roles
4. Role-Based Cost Accountability
5. Hidden Cost Traps in Cloud Environments
6. Compliance, Security Overhead and Reservation Waste

Module 2: Azure Landing Zones and FinOps Foundations

1. Azure Landing Zone Purpose and Components
2. Designing for Governance, Security and Scale
3. Tagging Strategies, Budgets and Alerts
4. Chargeback and Showback Models
5. Automating FinOps with Azure Policy and IaC
6. Monitoring Cost Trends with Azure Monitor and Log Analytics

Module 3: Azure Cost Optimization Core

1. Identifying Unused Resources with Azure Advisor
2. VM, VDI and App Service Rightsizing
3. Reserved Instances and Savings Plans
4. Azure Hybrid Benefit Optimization
5. Autoscaling Strategies and Configuration
6. AKS Workload Efficiency and ACR Retention

Module 4: Developer-Focused Optimization

1. Selecting Cost-Effective Hosting Models
2. App Service Plan Consolidation
3. Logic Apps vs Durable Functions Cost Analysis
4. API Management Caching and Throttling
5. Power Apps for Internal Tooling Cost Reduction

Module 5: Rearchitecting for Efficiency

1. Migrating from IaaS to PaaS
2. Event-Driven and Serverless Architectures
3. Replacing VMs with Functions and Logic Apps
4. Modular and Composable Microservices
5. Low-Code Architectures for Cost Efficiency

Module 6: DevOps-Specific Optimization

1. Cost-Aware IaC Deployments
2. Optimizing VMSS and AKS Scaling
3. CI/CD Cost Optimization in Azure DevOps and GitHub Actions
4. Automated Cleanup of Unused Resources
5. Policies and Blueprints for Cost Enforcement

Module 7: Cost Strategies for Data Engineers

1. Azure Data Factory Pipeline Optimization
2. Synapse and Spark Pool Cost Management
3. Data Lake Partitioning and Compression
4. Cold Data Archival Strategies
5. Reducing Cross-Region Data Transfers

Module 8: Power Platform, Power BI and Fabric Cost Efficiency

1. Power Platform as Low-Code Cost Alternative
2. Power Automate Licensing Optimization
3. Dataverse Storage Management
4. Power BI Cost Management Strategies
5. AI Builder Cost-Efficient Use Cases
6. Power Platform Environment Strategy
7. Fabric Capacity and Workload Optimization
8. Consolidated Analytics Architecture

Module 9: AI Cost Optimization Strategies

1. Selecting Azure AI Services by Workload
2. Azure OpenAI Cost Optimization Techniques
3. Azure AI Studio vs Custom Hosting
4. Cost-Efficient Inferencing Architectures
5. Reducing Cognitive Service Calls
6. AI Builder as a Low-Cost AI Alternative
7. Monitoring AI Consumption and Budget Spikes

Module 10: Cost Optimization for Data Scientists

1. Right-Sizing Azure ML Compute
2. Spot and Ephemeral Clusters
3. Model Hosting and Inferencing Cost Strategies
4. Model Artifact Management and Cleanup
5. Container-Based ML Pipelines

Module 11: Governance, Reporting and Automation

1. Budgets, Alerts and Anomaly Detection
2. Cost Dashboards with Azure Monitor and Power BI
3. Azure Policy and Management Groups
4. Automated Lifecycle Management
5. FinOps Operating Model and Review Cadence
6. Centralized vs Decentralized Cost Governance

Module 12: Capstone Project – Enterprise Cloud Cost Optimization

1. Designing a Cost-Optimized Cloud Architecture
2. Implementing FinOps Controls and Automation
3. Building Executive Cost Dashboards
4. Optimization Review and Best Practices