CompTIA Cloud Essentials+: Cloud Native Apps & Cloud Data Analytics

CompTIA Cloud Essentials+    |    Intermediate
  • 14 Videos | 1h 13m 1s
  • Includes Assessment
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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.

WHAT YOU WILL LEARN

  • 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

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 47s
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  • Playable
    2. 
    Cloud Native and Its Principles
    5m 11s
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    3. 
    Cloud-native Architecture
    7m 3s
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    4. 
    Migrating to a Cloud-native Architecture
    6m 3s
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    5. 
    12-Factor App Principles for Microservices
    6m 33s
    FREE ACCESS
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    6. 
    Design Patterns for Microservices
    7m 25s
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    7. 
    Containerization in the Cloud
    5m 17s
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    8. 
    Container Management Platforms
    3m 36s
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    9. 
    Deploying a Containerized Application
    4m 35s
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    10. 
    The Advantages of Cloud Analytics for Business Data
    5m 36s
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    11. 
    Machine Learning Services in the Cloud
    5m 33s
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    12. 
    Cloud-based Artificial Intelligence (AI) Services
    4m 36s
    FREE ACCESS
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    13. 
    Big Data Solutions and Cloud
    7m 24s
    FREE ACCESS
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    14. 
    Course Summary
    2m 23s
    FREE ACCESS

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