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Google Cloud Platform Devops Engineer Certification with an Extra Boost Course.

Empower Your Cloud Journey with GCP Excellence.

Dynamic Online Learning with Virejetech Certified Instructors.
Interactive Skill-building and Educational Assistance
Interview Readiness Guide + Mock Sessions
Placement Assistance Guide

Holistic Learning Pathway

"Advance your career with our holistic App Development Program, meticulously designed to cultivate the skills of a modern app developer. This sought-after course covers key modules, including App Development Foundations and Techniques, providing extensive exposure to diverse domains. Empower yourself with cutting-edge tools for Visualization and Insights, ensuring a well-rounded skill set in the dynamic field of app development."

25 hrs

Learning content

Google Cloud Platform Devops Engineer

1.Introduction to Cloud and DevOps

2 Quizzes

1 Project

1.1 Understanding Cloud Computing.
Google Cloud Platform (GCP) offers a comprehensive suite of cloud services and products, including computing, storage, databases, machine learning, and networking solutions for businesses and developers.
1.2 DevOps Principles and Practices
GCP resource hierarchy and organization refer to the structured framework that allows users to organize and manage cloud resources effectively, comprising projects, folders, and the organization node
1.3 Benefits of Cloud DevOps
Cloud DevOps accelerates development cycles, enhances collaboration, and optimizes resource utilization through automation, scalability, and continuous integration on cloud platforms.

2.Cloud Platforms

2.1 Introduction to Cloud Service Providers (e.g., AWS, Azure,Google Cloud)
Defining business and technical requirements involves specifying the functional and non-functional needs of a project
2.2 Creating and Managing Cloud Accounts.
Creating a cloud strategy and migration plan involves developing a comprehensive approach for adopting cloud services and transitioning existing workloads to the cloud
2.3 Cloud Resource Management and Cost Control
Assessing your DevOps maturity involves evaluating your organization's current state in terms of collaboration, automation, and continuous delivery practices.

3.Version Control and Collaboration Tools

3.1 Git and GitHub/GitLab.
Git is a distributed version control system that enables collaborative software development, while GitHub and GitLab are web-based platforms facilitating Git repository hosting, collaboration, and project management.
3.2 Git Branching and Merging Strategies
GCP Repos is a version control service in GCP DevOps that provides Git repositories for source code management. It allows teams to collaborate on software development by hosting and versioning code
3.3 Handling missing data
Google Cloud Storage services provide scalable and secure cloud-based storage solutions, including object storage, file storage, and specialized options for mobile applications and archival needs.

4.Infrastructure as Code (IaC)

4.1 Introduction to IaC
Git workflows, such as Centralized, Feature Branch, Gitflow, GitHub Flow, and Forking, guide collaborative development and version control strategies, catering to different team sizes and project complexities.
4.2 Using Terraform or AWS CloudFormation
Implementing and managing pull requests involves creating a mechanism for code review, collaboration, and integration of changes in a Git repository
4.3 Managing Infrastructure as Code
Exercise: Scaling Git for Enterprise DevOps involves hands-on activities to address challenges associated with large-scale Git repositories, multiple teams, and complex development workflows

5.Containerization and Orchestration

5.1 Docker and Containerization Concepts
Google Cloud Storage offers various options tailored to diverse storage needs, including Standard Storage for frequently accessed data
5.2 Kubernetes Orchestration.
Implementing and managing YAML pipelines in Azure DevOps involves defining build and release pipelines using YAML syntax.
5.3 Deploying Applications with Containers
Implementing and managing GitHub Actions involves defining workflows using YAML files directly within a GitHub repository. GitHub Actions automate various tasks, including building

6.Continuous Integration (CI)

6.1 CI/CD Concepts and Principles
Introduction to CI/CD (Continuous Integration/Continuous Delivery) involves adopting practices that automate and streamline the software development lifecycle
6.2 Setting Up CI Pipelines with Jenkins or GitLab CI/CD
Implementing CI/CD pipelines involves creating automated workflows that integrate and deliver code changes seamlessly from development to production.
6.3 Automated Testing and Code Quality
Managing application configuration and secrets in CI/CD involves securely handling sensitive information, such as API keys or connection strings, during the deployment process

7 .Continuous Deployment (CD)

7.1 Implementing CD Pipelines.
Infrastructure as Code (IaC) principles involve treating infrastructure configurations as code, emphasizing declarative syntax, idempotency, version control, reusability, automatione
7.2 Blue-Green Deployments.
Implementing ARM (Azure Resource Manager) templates involves using JSON-based scripts to define and deploy Azure infrastructure resources. ARM templates provide a declarative way to specify the desired state of resources
7.3 Canary Deployments.
Infrastructure provisioning with Terraform involves using HashiCorp's Terraform tool to define and manage infrastructure as code
7.4 Deployment Automation.
Implementing ARM (Azure Resource Manager) templates involves using JSON-based scripts to define and deploy Azure infrastructure resources. ARM templates provide a declarative way to specify the desired state of resources

8.Monitoring and Logging

8.1 Application and Infrastructure Monitoring
Configuration management automates and maintains consistent infrastructure and software configurations, ensuring reliability, version control, and idempotent application of desired states.
8.2 Log Management and Analysis
Azure Key Vault is a cloud service that enables secure storage and management of sensitive information such as secrets, encryption keys, and certificates.
8.3 Alerts and Incident Response
Exercise: Managing application configuration and secrets involves practical tasks to secure and handle sensitive information within an application using tools like Azure Key Vault

9. Security in DevOps

9.1 DevSecOps Principles
To configure database authentication using platform and database tools, utilize tools such as Azure Portal, SQL Server Management Studio (SSMS), or Azure Data Studio to manage authentication settings
9.2 Secure Coding Practices
To configure database authorization using platform and database tools, leverage tools like Azure Portal, SQL Server Management Studio (SSMS), or Azure Data Studio to manage permissions
9.3 Identity and Access Management (IAM) in Cloud
To implement Azure AD-based security, integrate Azure Active Directory (Azure AD) with your database to enable authentication using Azure AD credentials, ensuring centralized identity management

10.Configuration Management

10.1 Managing Configuration Files
To monitor and troubleshoot SQL Server performance, employ tools like SQL Server Management Studio (SSMS), Performance Monitor, and Dynamic Management Views (DMVs) to analyze query execution
10.2 Infrastructure Configuration with Ansible or Puppet
To monitor and troubleshoot Azure SQL Database performance, use Azure Portal, Azure Monitor, and Query Performance Insight. Utilize metrics, performance recommendations

11Cloud-Native Application Development

11.1 Microservices Architecture
Reviewing query plans involves analyzing the execution plans generated by the database engine to understand how queries are processed
11.2 Serverless Computing
To monitor and troubleshoot Azure SQL Database performance, use Azure Portal, Azure Monitor, and Query Performance Insight. Utilize metrics, performance recommendations

12.High Availability and Disaster Recovery

12.1 Strategies for High Availability
Configuration management automates and maintains consistent infrastructure and software configurations, ensuring reliability, version control, and idempotent application of desired states.
12.2 Backup and Disaster Recovery Planning
Azure Key Vault is a cloud service that enables secure storage and management of sensitive information such as secrets, encryption keys, and certificates.

13.Scalability and Load Balancing

13.1 Auto-scaling Applications
To configure database authentication using platform and database tools, utilize tools such as Azure Portal, SQL Server Management Studio (SSMS), or Azure Data Studio to manage authentication settings
13.2 Load Balancing Strategies
To configure database authorization using platform and database tools, leverage tools like Azure Portal, SQL Server Management Studio (SSMS), or Azure Data Studio to manage permissions

14.Collaboration and Communication Toolst

14.1 Communication and Documentation Tools
To monitor and troubleshoot SQL Server performance, employ tools like SQL Server Management Studio (SSMS), Performance Monitor, and Dynamic Management Views (DMVs) to analyze query execution
14.2 Agile and Scrum Principles
To monitor and troubleshoot Azure SQL Database performance, use Azure Portal, Azure Monitor, and Query Performance Insight. Utilize metrics, performance recommendations

15.DevOps Culture and Best Practices