GCP TOPICS

What is Cloud Computing?

Cloud computing is the on-demand delivery of compute power, database storage, applications, and other IT resources through a cloud services platform via the internet with pay-as-you-go pricing.

Module 1: Introduction to Google Cloud Platform (GCP)

• Overview of Cloud Computing
• Introduction to GCP and its global infrastructure
• GCP products and services overview
• Navigating the GCP Console
• Creating and managing GCP projects
• Understanding Billing in GCP

Module 2: Google Compute Engine (GCE)

• Introduction to GCE
• Creating and managing virtual machine instances
• Configuring networking, firewalls, and SSH access
• Managing persistent disks and snapshots
• Load balancing in GCP
• Autoscaling and best practices

Module 3: Google Kubernetes Engine (GKE)

• Introduction to Kubernetes and GKE
• GKE cluster architecture
• Deploying containerized applications using GKE
• Managing GKE clusters and scaling
• Rolling updates and rollbacks
• Logging and monitoring in GKE

Module 4: Google Cloud Storage & Databases

• Cloud Storage: Buckets, Objects, and Permissions
• Managing large datasets and transferring data
• Overview of Cloud SQL, BigQuery, and Firestore
• Managing databases in GCP
• High availability and disaster recovery

Module 5: Networking in GCP

• VPCs, subnets, and IP addressing
• Configuring and managing firewall rules
• Cloud Load Balancing and CDN
• Hybrid and multi-cloud networking
• Cloud DNS and Cloud Interconnect

Module 5: Google Cloud Identity & Access Management (IAM)

• Advanced IAM policies for fine-grained access control
• Service accounts and identity delegation
• Implementing Organization Policies for secure management
• VPC Service Controls for securing data
• Best practices for managing access control at scale

Module 6: Google Cloud Operations Suite (Monitoring, Logging, and Debugging)

• Advanced Google Cloud Monitoring: SLOs, SLIs, and setting up Error Budgets
• Distributed tracing with Cloud Trace
• Cloud Profiler: Performance analysis of production workloads
• Cloud Debugger: Real-time debugging without interrupting live code
• Custom metrics and dashboards with Cloud Monitoring

Module 7: DevOps Fundamentals with GCP

• Introduction to DevOps and CI/CD concepts
• GCP DevOps tools: Cloud Build, Artifact Registry, and Container Registry
• Automating builds and deployments with Cloud Build
• Managing source code repositories with Google Cloud Source Repositories
• Implementing CI/CD pipelines with GKE and Cloud Build

Module 8: Infrastructure as Code (IaC)

• Introduction to IaC and its importance
• Working with Terraform on GCP
• Deploying infrastructure using Terraform
• Managing state and configuration in Terraform
• Best practices for using Terraform with GCP

Module 9: Logging, Monitoring, and Security

• Introduction to GCP’s Operations Suite (formerly Stackdriver)
• Monitoring applications with Google Cloud Monitoring
• Log management with Google Cloud Logging
• Setting up alerts and dashboards
• Implementing security best practices in GCP
• Managing IAM roles and permissions
• VPC Service Controls for securing data

Module 10: DevOps Tools Integration with GCP        

• Using Jenkins for CI/CD with GCP
• Integrating Docker for container management
• Automating deployments with Kubernetes (GKE) and Jenkins
• Leveraging Cloud Functions for automation tasks
• Using GitOps with Google Cloud for Continuous Delivery

Module 11: Advanced Security on GCP

• Identity-Aware Proxy (IAP) for controlling access to applications
• Advanced DDoS protection using Cloud Armor
• Implementing Zero Trust security with BeyondCorp Enterprise
• Encrypting data at rest and in transit using Cloud KMS
• Security Command Center for monitoring security risks and compliance
• Managing sensitive data with Secret Manager

Module 12: Serverless Architectures on GCP

• Advanced Google Cloud Functions: Design patterns, event-driven architectures
• Cloud Run for running containerized applications in a serverless environment

Module 13: GCP Case Studies and Hands-on Labs

• Deploying and managing a full-stack application on GCP
• Continuous integration and deployment pipeline for microservices
• GKE and Cloud Build CI/CD pipeline
• Securing and monitoring cloud infrastructure
• Best practices for optimizing cost and performance

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Project Work

• Set up and deploy a scalable web application using GCE and GKE.
• Create and configure a CI/CD pipeline for microservices using Jenkins and GKE.
• Implement infrastructure automation using Terraform and GCP.

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Other  Services:

• Jenkins ,Code Pipeline
• Kubernetes
• AWS Cloud Formation ,Terraform
• Dockers
• Monitoring tools
•  (Nagios)  ,Promethues ,Grafana
• Network Concepts
• Active directory
• Computer name
• Network commands
• Languages
• Python
• PowerShell
• AwsCli Commands

Cloudsoft Supports on:

• Practical Implementation
• Hands on Experience on Configuration Management, Deployments
• Resume Preparation
• Mock Interviews
• Real Time Interview Questions
• Real Time Scenarios

Expert Level Project Work

• Design and implement a multi-region, highly available Kubernetes cluster with advanced security and autoscaling.
• Build a CI/CD pipeline integrating Jenkins, Cloud Build, and Anthos for a hybrid cloud deployment.
• Use GCP’s GKE tools to develop and deploy a Microservice Based Application

Secure and monitor a large-scale production environment using advanced GCP security and monitoring tools

For more details call +91-9666019191