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Program Overview

What you'll learn

Google Compute Engine (GCE)

Google Compute Engine (GCE) is the Infrastructure as a Service (IaaS) component of Google Cloud Platform which is built on the global infrastructure that runs Google's search engine, Gmail, YouTube and other services.


Google Cloud Storage

Google Cloud Storage is a RESTful online file storage web service for storing and accessing data on Google Cloud Platform infrastructure. The service combines the performance and scalability of Google's cloud with advanced security and sharing capabilities.


virtual private cloud (VPC)

A virtual private cloud (VPC) is an on-demand configurable pool of shared computing resources allocated within a public cloud environment, providing a certain level of isolation between the different organizations (denoted as users hereafter) using the resources.

Google Cloud SQL

Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational databases on Google Cloud Platform. You can use Cloud SQL with MySQL , PostgreSQL, or SQL Server .


Kubernetes Engine

Google Kubernetes Engine (GKE) is a management and orchestration system for Docker container and container clusters that run within Google's public cloud services. Google Kubernetes Engine is based on Kubernetes, Google's open source container management system.

Syllabus

Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects

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Defining the Service
  • Describe users in terms of roles and personas
  • Write qualitative requirements with user stories
  • Write quantitative requirements using key performance indicators (KPIs)
  • Evaluate KPIs using SLOs and SLIs
  • Determine the quality of application requirements using SMART criteria
Microservice Design and Architecture
  • Decompose monolithic applications into microservices
  • Recognize appropriate microservice boundaries
  • Architect stateful and stateless services to optimize scalability and reliability
  • Implement services using 12-factor best practices
  • Build loosely coupled services by implementing a well-designed
  • REST architecture
  • Design consistent, standard RESTful service APIs
DevOps Automation
  • Automate service deployment using CI/CD pipelines
  • Leverage Cloud Source Repositories for source and version control
  • Automate builds with Cloud Build and build triggers
  • Manage container images with Google Container Registry
  • Create infrastructure with code using Deployment Manager and Terraform
Choosing Storage Solutions
  • Choose the appropriate Google Cloud data storage service based on use case, durability, availability, scalability and cost
  • Store binary data with Cloud Storage
  • Store relational data using Cloud SQL and Spanner
  • Store NoSQL data using Firestore and Cloud Bigtable
  • Cache data for fast access using Memorystore
  • Build a data warehouse using BigQuery
Google Cloud and Hybrid Network Architecture
  • Design VPC networks to optimize for cost, security, and performance
  • Configure global and regional load balancers to provide access to services
  • Leverage Cloud CDN to provide lower latency and decrease network egress
  • Evaluate network architecture using the Cloud Network Intelligence Center
  • Connect networks using peering and VPNs
  • Create hybrid networks between Google Cloud and on-premises data centers using Cloud Interconnect
Deploying Applications to Google Cloud
  • Choose the appropriate Google Cloud deployment service for your applications
  • Configure scalable, resilient infrastructure using Instance Templates and Groups
  • Orchestrate microservice deployments using Kubernetes and GKE
  • Leverage App Engine for a completely automated platform as a service (PaaS)
  • Create serverless applications using Cloud Functions
Designing Reliable Systems
  • Design services to meet requirements for availability, durability, and scalability
  • Implement fault-tolerant systems by avoiding single points of failure, correlated failures, and cascading failures
  • Avoid overload failures with the circuit breaker and truncated exponential backoff design patterns
  • Design resilient data storage with lazy deletion
  • Analyze disaster scenarios and plan for disaster recovery using cost/risk analysis
Security
  • Design secure systems using best practices like separation of concerns, principle of least privilege, and regular audits
  • Leverage Cloud Security Command Center to help identify vulnerabilities
  • Simplify cloud governance using organizational policies and folders
  • Secure people using IAM roles, Identity-Aware Proxy, and Identity Platform
  • Manage the access and authorization of resources by machines and processes using service accounts
  • Secure networks with private IPs, firewalls, and Private Google Access
  • Mitigate DDoS attacks by leveraging Cloud DNS and Cloud Armor
Maintenance and Monitoring
  • Manage new service versions using rolling updates, blue/green deployments, and canary releases
  • Forecast, monitor, and optimize service cost using the Google Cloud pricing calculator and billing reports and by analyzing billing data
  • Observe whether your services are meeting their SLOs using Cloud Monitoring and Dashboards
  • Use Uptime Checks to determine service availability
  • Respond to service outages using Cloud Monitoring Alerts

Certifications

Google Cloud DevOps Engineer Certified By Google.

certificate

Program Fee

Choose a best plan for the best bang for your buck.

GCP DevOps

INR.2000*

Inclusive of all Taxes

  • arrow 4 Session/ classes
  • arrow Online - live Classes

GCP DevOps

INR.23,994*

Inclusive of all Taxes

  • arrow Training
  • arrow Single Certification
  • arrow Online - live Classes
  • arrow No Cost EMI Available

GCP DevOps

INR.39,900*

Inclusive of all Taxes

  • arrow Training
  • arrow Dual Certification
  • arrow Online - live Classes
  • arrow No Cost EMI Available

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Frequently Asked Questions

Google Cloud Platform is one of the leaders in the cloud space. Learning Google Cloud Platform can help open up opportunities for your career. It is highly secure and can reduce an organisation time-to-insight with it’s server-less big data analytics solutions. This is why many companies are adopting GCP for their cloud needs.
GCP Certification Training is the best program that you need to master this cloud technology. We offer live instructor-led sessions supplemented by a 24x7 support system and lifetime access to our updated course materials. Our projects are designed for better hands-on for our learners. With these added advantages, we try to make sure that your learning objectives are fulfilled.
Career growth in GCP seems to be skyrocketing at the moment with more and more organizations looking towards GCP to solve their cloud needs. Companies like SPotify, HSBC, Ubisoft are deploying GCP based solutions already and this list seems to be growing day-by-day. Getting GCP Certified can help you get started with your career in this lucrative cloud technology space.
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