Cloud Concepts, Architecture and Design Training – The only Analytics Course you need

⏰24 hours | ▶️ 24 Videos | 📣 49 Participants | 🔥11 Reviews

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Course Description

Ansible Training the one unique automation tool/engine that you go through.

We can consider Ansible as an Opensource platform that primarily works for IT professionals who deal with application deployment.

Learn Ansible because it is all about automation, as automation is now ruling the current market.

Ansible is a software tool that automates cross-platform device support in an easy but effective way.

You now have the option of taking Online Classes as a boon during this Pandemic era. You can conveniently control your time and learn a variety of courses right on your doorstep.

The Red Hat Certified Specialist in Ansible Automation exam assesses the ability to automate device and application configuration using Ansible.

This Certification can be an outstanding addition to your resume because you have a strong base of skills.

Features

✅Lifetime access	✅Lifetime video access
✅Real-time case studies	✅The project integrated into the Curriculum
✅24*7 Support from our team of administrators

Course Content

1. Understand Cloud Computing Concepts

Cloud Computing Definitions
Cloud Computing Roles (e.g., cloud service customer, cloud service provider, cloud service partner, cloud service broker)
Key Cloud Computing Characteristics (e.g., on-demand self-service, broad network access, multi-tenancy, rapid elasticity and scalability, resource pooling, measured service)
Building Block Technologies (e.g., virtualization, storage, networking, databases, orchestration)

2.Describe Cloud Reference Architecture

Cloud Computing Activities
Cloud Service Capabilities (e.g., application capability types, platform capability types, infrastructure capability types)
Cloud Service Categories (e.g., Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS))
Cloud Deployment Models (e.g., public, private, hybrid, community)
Cloud Shared Considerations (e.g., interoperability, portability, reversibility, availability, security, privacy, resiliency, performance, governance, maintenance and versioning, service levels and Service Level Agreements (SL A), auditability, regulatory)
Impact of Related Technologies (e.g., machine learning, artificial intelligence

3. Understand Security Concepts Relevant to Cloud Computing

Cryptography and Key Management
Access Control
Data and Media Sanitization (e.g., overwriting, cryptographic erase)
Network Security (e.g., network security groups)
Virtualization Security (e.g., hypervisor security, container security)
Common Threats

4. Understand Design Principles of Secure Cloud Computing

Cloud Secure Data Lifecycle
Cloud based Disaster Recovery (DR) and Business Continuity (B C) planning
Cost Benefit Analysis
Functional Security Requirements (e.g., portability, interoperability, vendor lock-in)
Security Considerations for Different Cloud Categories (e.g., Software as a Service

(SaaS), Infrastructure as a Service (IaaS), Platform as a Service (PaaS))