Projects in Cloud Computing
Traditional systems of storage and platforms are complicated, expensive and time consuming, where developers required purchasing the right hardware for the right application and ramping up servers to...
- All levels
- English
Course Description
Traditional systems of storage and platforms are complicated, expensive and time consuming, where developers required purchasing the right hardware for the right application and ramping up servers to scale their software. However, cloud computing revolutionized the way systems performed making it simpler and cheaper for companies to simply rent system platforms, instead of creating them from scrat...
Traditional systems of storage and platforms are complicated, expensive and time consuming, where developers required purchasing the right hardware for the right application and ramping up servers to scale their software. However, cloud computing revolutionized the way systems performed making it simpler and cheaper for companies to simply rent system platforms, instead of creating them from scratch. Cloud Computing allows companies to share processing power, storage and even other services on demand such as computer networks, servers, storage, applications, etc. This provides companies with more resources to get their applications running faster and also requires less maintenance.
What you’ll learn
- Cloud Provisioning: Ansible, Vagrant
- Orchestration: Kubernetes
- Providers: AWS, GCloud, Microsoft Azure, Heroku and OpenShift
- Architecture: IaaS (Infrastructure as a Service), PaaS (Platform as a service) and SaaS (Software as a service)
- Application Clients: Azure Python SDK, GCloud SDK, Heroku SDK, OpenShift Client
- Build Tools: Gradle, WebPack and PIP
- Design Patterns: Circuit Breaker, Service Registration and Discovery, Load Balancing, Universal JavaScript
- Cloud Programming Languages: Python, Java, Go, JavaScript
- Emerging Cloud Technologies: Docker clusters, ReactJS zero configuration, Microservices
Covering Topics
Section 1 : Introduction
Section 2 : Anatomy of an AWS Instance
Section 3 : Firebase
Section 4 : Cloud Programming Languages
Section 5 : Google Cloud Platform (gcloud) PAAS
Section 6 : Google Cloud Platform APIs
Section 7 : Azure Cloud Model
Section 8 : Azure sdk
Section 9 : Azure NoSQL
Section 10 : Introduction to the Netflix OSS
Section 11 : Service Discovery
Section 12 : Real Time Guarantee
Section 13 : Netflix Universal JavaScript
Section 14 : Heroku Conceptual Model
Section 15 : SpringBoot on Heroku
Section 16 : React js on Heroku
Section 17 : OpenShift EcoSystem
Section 18 : OpenShift Origin
Section 19 : OpenShift Container Platform
Section 20 : Kubernetes
Section 21 : Summary
Curriculum
Frequently Asked Questions
This course includes
- Lectures 69
- Duration 6 Hour
- Language English
- Certificate No