Google Professional DevOps Engineer

Course Overview The Google Professional DevOps Engineer course by Stalwart Learning is designed for professionals focused on efficient development operations. This training equips learners with the skills to build, deploy,…

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Stalwart Learning

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Date & Time

Price

Duration

5 Days / 40hrs

Location

https://stalwartlearning.com/

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Course Description

The Google Professional DevOps Engineer course by Stalwart Learning is designed for professionals focused on efficient development operations. This training equips learners with the skills to build, deploy, monitor, and manage scalable applications on Google Cloud, emphasizing automation, infrastructure as code, CI/CD pipelines, and incident management. Participants will gain hands-on experience with tools like Cloud Build, Kubernetes, and Stackdriver, preparing them for the Google Professional DevOps Engineer certification exam and roles in DevOps engineering.

40 hours (5 days)

  • Familiarity with DevOps practices and principles.
  • Basic knowledge of Google Cloud services and Kubernetes.
  • Experience with CI/CD pipelines and scripting languages is recommended.
  • Overview of DevOps principles and practices
  • Understanding Google Cloud’s DevOps ecosystem
  • Key tools and services: Cloud Build, GKE, and Stackdriver
  • Implementing Infrastructure as Code (IaC) with Deployment Manager and Terraform
  • Managing Kubernetes clusters with Google Kubernetes Engine (GKE)
  • Automating resource provisioning using Cloud Shell and APIs
  • Building pipelines with Cloud Build and Jenkins
  • Managing containerized deployments using Docker and GKE
  • Automating testing, staging, and deployment processes
  • Setting up Stackdriver for logging and monitoring
  • Implementing alerts and dashboards for system health
  • Managing incidents and root cause analysis with Incident Response and Monitoring
  • Designing systems for high availability and scalability
  • Optimizing cost and performance using Cloud Monitoring tools
  • Implementing SLOs, SLIs, and SLAs for reliability metrics
  • Securing DevOps pipelines and environments
  • Implementing IAM roles, service accounts, and encryption
  • Ensuring compliance with industry standards and best practices
  • Leveraging Anthos for hybrid and multi-cloud management
  • Implementing blue/green and canary deployments
  • Exploring serverless DevOps with Cloud Functions and Cloud Run
  • Exam structure, domains, and key objectives
  • Hands-on labs and real-world case studies
  • Mock exams and strategies for success on the certification test

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