IT Professional Curricula     Internet and Network Technologies Solution Area     Cloud Computing     CompTIA Cloud Essentials+ (CLO-002)

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Building robust, scalable services and managing large volumes of data for analytics requires on-demand resource allocation and containerization. A cloud-native approach, which takes advantage of a cloud computing delivery model, can help with this.
In this course, you'll investigate the principles and architecture of cloud native. You'll outline how to migrate existing apps to a cloud-native architecture, identifying the 12-factor app principles for building scalable and resilient enterprise applications.
Next, you'll explore microservice architecture design patterns, containerization in the cloud, and some prominent public cloud provider container management platforms.
Moving on, you'll run Docker-enabled containerized applications on Amazon Elastic Container Service (ECS) clusters. You'll investigate some cloud machine learning, cloud-based AI, and big data solutions and services. Lastly, you'll examine the benefits of managing big data architectures using cloud principles.
You can use this course in preparation for the CompTIA Cloud Essentials+ (CLO-002) certification exam.

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Objectives

CompTIA Cloud Essentials+ (CLO-002): Cloud Native Apps & Cloud Data Analytics discover the key concepts covered in this course define the concept, principles, advantages, and disadvantages of cloud native recognize the cloud-native architecture and common motivations for transitioning to cloud-native application architecture outline the changes required in existing applications to migrate to the cloud-native architecture list the 12-Factor App principles that help in building scalable, performant, independent, and resilient enterprise applications specify the design patterns of microservice architecture that help overcome its challenges describe the concept and benefits of containerization in the cloud and differentiate between containerization and virtual machines list the prominent container management platforms provided by public cloud providers run a Docker-enabled containerized application on an Amazon ECS cluster behind a load balancer identify the advantages of cloud analytics, which enable fast and robust access to business analytics outline the key features afforded by cloud machine learning services and the primary criteria for selecting the right one identify prominent cloud-based AI services and describe the benefits of using AI to adopt efficient, strategic, and insight-driven cloud service implementation identify prominent big data solutions and the benefits of managing big data architectures using the cloud summarize the key concepts covered in this course