Google Professional DevOps Engineer Advanced Monitoring & Incident Response

  • DevOps | CI | CD | Kubernetes | Web3

Google Professional DevOps Engineer Advanced Monitoring & Incident Response

32 horas Curso Pratico
Visão Geral

O curso Google Professional DevOps Engineer: Advanced Monitoring & Incident Response foi desenvolvido para profissionais que desejam aprofundar seus conhecimentos em observabilidade, monitoramento avançado, confiabilidade de serviços (SRE) e resposta a incidentes utilizando o ecossistema do Google Google Cloud.

Durante o treinamento, os participantes aprenderão a implementar arquiteturas resilientes, configurar monitoramento inteligente, criar alertas avançados, automatizar respostas operacionais e aplicar práticas modernas de engenharia de confiabilidade utilizando serviços como Cloud Monitoring, Cloud Logging, Error Reporting, Trace, Profiler, Managed Service for Prometheus, Incident Response, SLOs/SLIs e automações operacionais no Google Cloud.

O curso possui abordagem prática e técnica, focada em ambientes corporativos modernos, workloads distribuídos, aplicações em containers, Kubernetes, microsserviços e pipelines DevOps/SRE.

Objetivo

Após realizar este curso Google Professional DevOps Engineer: Advanced Monitoring & Incident Response, você será capaz de:

  • Implementar soluções avançadas de monitoramento no Google Cloud
  • Configurar observabilidade completa em aplicações e infraestrutura
  • Criar dashboards operacionais e executivos
  • Implementar SLIs, SLOs e Error Budgets
  • Configurar alertas inteligentes e correlação de eventos
  • Trabalhar com Cloud Monitoring e Cloud Logging
  • Implementar Distributed Tracing e Performance Monitoring
  • Utilizar Managed Service for Prometheus
  • Monitorar ambientes Kubernetes no GKE
  • Automatizar processos de resposta a incidentes
  • Implementar práticas SRE em ambientes corporativos
  • Realizar troubleshooting avançado em aplicações distribuídas
  • Configurar políticas de escalonamento operacional
  • Integrar monitoramento com pipelines DevOps
  • Aplicar boas práticas para alta disponibilidade e confiabilidade
Publico Alvo
  • Engenheiros DevOps
  • Site Reliability Engineers (SRE)
  • Cloud Engineers
  • Administradores de Sistemas
  • Especialistas em Observabilidade
  • Engenheiros de Plataforma
  • Profissionais de Infraestrutura Cloud
  • Equipes de Operações e NOC
  • Arquitetos de Soluções Cloud
  • Profissionais que desejam obter a certificação Google Professional DevOps Engineer
Pre-Requisitos
  • Conhecimentos básicos de Linux
  • Experiência com ambientes Cloud
  • Conhecimentos em redes TCP/IP
  • Familiaridade com containers e Kubernetes
  • Conhecimentos básicos de CI/CD
  • Experiência prévia com Google Cloud Platform
  • Conhecimentos básicos de automação e scripting
Materiais
Inglês/Português + Exercícios + Lab Pratico
Conteúdo Programatico

Module 1: Google Cloud Operations Suite Fundamentals

  1. Introduction to Google Cloud Operations Suite
  2. Monitoring Architecture Concepts
  3. Observability Fundamentals
  4. Logging and Metrics Overview
  5. Cloud Native Monitoring Strategies
  6. DevOps and SRE Foundations
  7. Monitoring Distributed Systems
  8. Reliability Engineering Concepts

Module 2: Advanced Cloud Monitoring

  1. Configuring Cloud Monitoring
  2. Custom Metrics Implementation
  3. Metrics Explorer Deep Dive
  4. Uptime Checks Configuration
  5. Synthetic Monitoring
  6. Dashboard Design Best Practices
  7. Multi-project Monitoring
  8. Monitoring Hybrid Environments
  9. Alerting Policies Advanced Configuration
  10. Notification Channels Integration

Module 3: Advanced Cloud Logging

  1. Cloud Logging Architecture
  2. Log Routing and Aggregation
  3. Structured Logging Implementation
  4. Log-based Metrics
  5. Advanced Log Queries
  6. Centralized Logging Strategies
  7. Logging for Kubernetes Workloads
  8. Log Retention Policies
  9. Security and Compliance LoggingModule 4: Site Reliability Engineering (SRE)
  10. Troubleshooting with Logs Explorer

  1. SRE Principles and Practices
  2. Service Level Indicators (SLIs)
  3. Service Level Objectives (SLOs)
  4. Error Budgets Management
  5. Reliability Metrics
  6. Toil Reduction Strategies
  7. Incident Lifecycle Management
  8. Blameless Postmortems
  9. Operational Excellence
  10. Reliability-driven Development

Module 5: Incident Response and Troubleshooting

  1. Incident Detection Techniques
  2. Root Cause Analysis
  3. Incident Response Automation
  4. Escalation Procedures
  5. Runbooks and Playbooks
  6. Event Correlation Techniques
  7. Real-time Operational Response
  8. Major Incident Handling
  9. Operational War Rooms
  10. Communication During Incidents

Module 6: Kubernetes and GKE Observability

  1. Monitoring Google Kubernetes Engine (GKE)
  2. Kubernetes Metrics Collection
  3. Prometheus Integration
  4. Managed Service for Prometheus
  5. Container Insights
  6. Monitoring Kubernetes Workloads
  7. Kubernetes Logging Strategies
  8. Service Mesh Observability
  9. GKE Incident Troubleshooting
  10. Cluster Health Analysis

Module 7: Application Performance Monitoring (APM)

  1. Cloud Trace Fundamentals
  2. Distributed Tracing
  3. Cloud Profiler Implementation
  4. Error Reporting Configuration
  5. Application Dependency Mapping
  6. Latency Analysis
  7. Performance Bottleneck Identification
  8. API Monitoring
  9. Observability for Microservices
  10. End-to-End Transaction Monitoring

Module 8: Automation and DevOps Integration

  1. Infrastructure as Code for Monitoring
  2. Terraform Integration
  3. CI/CD Monitoring Integration
  4. Automated Remediation
  5. Event-driven Operations
  6. Monitoring as Code
  7. GitOps for Observability
  8. Automated Alert Response
  9. Policy-based Operations
  10. Operational Automation Pipelines

Module 9: Security Monitoring and Compliance

  1. Security Operations Monitoring
  2. Threat Detection Concepts
  3. IAM Monitoring and Auditing
  4. Compliance Logging
  5. Security Incident Response
  6. Vulnerability Monitoring
  7. Audit Trails Analysis
  8. Security Dashboards
  9. Governance and Risk Monitoring
  10. Cloud Security Best Practices

Module 10: Advanced Architectures and Certification Preparation

  1. Multi-cloud Monitoring Architectures
  2. Hybrid Cloud Observability
  3. High Availability Monitoring Design
  4. Disaster Recovery Monitoring
  5. Enterprise Monitoring Strategies
  6. Cost Optimization for Monitoring
  7. Best Practices for Large-scale Operations
  8. Google Professional DevOps Engineer Exam Topics
  9. Scenario-based Troubleshooting Labs
  10. Certification Preparation Workshop
TENHO INTERESSE

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