A Google Professional Cloud DevOps Engineer is responsible for efficient development operations that can balance service reliability and delivery speed. They are skilled at using Google Cloud to build software delivery pipelines, deploy and monitor services, and manage and learn from incidents. A Google Cloud Platform (GCP) DevOps professional is an expert in implementing DevOps practices and tools within the Google Cloud environment. Their role involves streamlining and automating software development and deployment processes, enhancing collaboration between development and operations teams, and optimizing the overall software delivery lifecycle on the Google Cloud platform
Course Objectives:
- Pass Google cloud professional DevOps certification
- Learn Google cloud services for DevOps
- Implementing CI/CD pipeline with GCP services
- All slides & code is available to download
- Setup DevOps CI/CD pipeline with CSR, cloud build, container registry
- Dive into monitoring & Logging services for better resources management
- Implement 5 CI/CD pipeline with complete hands-on demo
- Secure container deployment with container scanning & binary Authorization
- Learn DevOps and SRE best practices & principal
Course content
Introduction to GCP DevOps
- Google Cloud Platform (GCP) Infrastructure
- Compute resources
- Networking Services
- Storage and Database offering
- Introduction to Primitive role
GCP Fundamentals
- Setting up a GCP account.
- Navigating the GCP Console and Cloud Shell.
- Overview of GCP core services.
Managing GCP Services
- Managing GCP environment with GCP console
- Control GCP environment using CLI
- GCP environment management using Cloud Shell
- GCP environment management using Gcloud
- GCP environment management using Gsutil
- Install and configure cloud SDK
GCP IAM And Security Services
- Understand Identity and Access Management (IAM)
- Understanding Organizations, Roles, Members, Service accounts,
- Policy Hierarchy
- Understanding different role and permission
GCP Compute Services
- Understand Compute Engine
- Understand and implement Compute options (vCPU and Memory) specific to workload
- Persistent disk – HDD, SSD
- Load Balancing
- Common Compute Engine actions
GCP Storage And Database Services
- Understand Cloud Storage – Nearline, Coldline
- Pros and cons of storage option and how to choose
- Understanding Billing aspect of storage options
- Trade off of storage options
- Integration with on premises/multi-cloud environment
- Cloud Storage (Object storage)
- Cloud SQL (Managed relational databases)
- Cloud Bigtable (NoSQL database)
- Cloud Spanner (Horizontally scalable, globally distributed relational database)
- Cloud Firestore (NoSQL document database)
- Cloud Memorystore (Managed Redis)
- Cloud Datastore (Legacy NoSQL database)
Version Control and Collaboration
- Using Git for version control.
- Git branching and merging strategies.
- Collaborative development using Git and Google Cloud Source Repositories.
Continuous Integration (CI)
- Building automated CI pipelines.
- Using Google Cloud Build for CI.
- Automated testing and code quality checks.
Containerization with Docker
- Introduction to Docker containers.
- Building and managing Docker images.
- Using Google Container Registry for container storage.
Kubernetes and Orchestration
- Introduction to Kubernetes.
- Deploying and managing applications using Google Kubernetes Engine (GKE).
- Scaling and load balancing with Kubernetes.
Infrastructure as Code (IaC)
- Introduction to Infrastructure as Code concepts.
- Using Google Cloud Deployment Manager or Terraform for IaC.
- Creating and managing infrastructure templates.
Continuous Deployment (CD)
- Implementing CD pipelines.
- Using Spinnaker or other CD tools on GCP.
- Managing blue-green deployments and canary releases.
Monitoring and Logging
- Setting up monitoring and alerting using Google Cloud Monitoring.
- Centralized logging with Google Cloud Logging.
- Application performance monitoring with Google Cloud Profiler and Trace.
Getting Started with Terraform for Google Cloud
- Introduction to Terraform for Google Cloud
- Terms and Concepts
- Writing Infrastructure Code for Google Cloud
- Organizing and Reusing Configuration with Terraform Modules
- Introduction to Terraform State
Security and Compliance
- Security best practices for DevOps on GCP.
- Compliance considerations and auditing.
- Managing secrets and access control.
Collaboration and Communication
- Integrating GCP DevOps tools with collaboration platforms (e.g., Slack, Microsoft Teams).
- Building and managing documentation.
To see the full course content Download now
Course Prerequisites
- Prerequisites for a Google Cloud Platform course typically involve basic computer literacy, familiarity with cloud concepts, and general understanding of networking.
- However, most beginner-level courses do not have strict prerequisites, making them accessible to a broader audience.
- While there are no strict prerequisites, familiarity with cloud computing concepts, Linux administration, scripting languages (like Python), and basic DevOps principles can be beneficial for pursuing GCP DevOps Certification.
Who can attend
- Professionals seeking to enhance their cloud skills
- IT engineers looking to transition to cloud roles
- developers interested in cloud technologies
- Data engineers
- Students pursuing a career in cloud computing can greatly benefit from taking a Google Cloud Platform course.
Number of Hours: 30hrs
Certification
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- Mock Interviews
- Video Tutorials
- Materials
- Real Time Projects
- Virtual Live Experience
- Preparing for Certification
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