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

CompTIA Cloud Essentials+    |    Intermediate
  • 14 videos | 1h 13m 1s
  • Includes Assessment
  • Earns a Badge
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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

  • 1m 47s
    In this video, you will meet your instructor and learn more about the course. This course will explore the security objectives you must consider to secure cloud services for cloud computing. In this course, you’ll learn the benefits of adopting Single Sign On mechanism and common security practices of enterprise data center and cloud deployment models. You’ll also learn how to implement federated authentication and create and manage AWS users and groups. FREE ACCESS
  • 5m 11s
    In this video, you will learn the concept, principles, advantages, and disadvantages of cloud native. Cloud native applications are those applications that use a cloud computing model to build software applications as micro services. You'll learn the Fundamental Cloud Native Principles and the benefits of using cloud native applications. Here, you'll also learn about the disadvantages of cloud native applications. FREE ACCESS
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    3.  Cloud-native Architecture
    7m 3s
    In this video, you will learn about the architecture of cloud native and the common reasons you might want to transition to Cloud Native Application Architecture. You'll also learn to differentiate between cloud native and SOA by looking at their identifying essential factors, such as scope, synchronous call, and data duplication. Finally, you'll also learn more about service granularity and speed when it comes to SOA. FREE ACCESS
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    4.  Migrating to a Cloud-native Architecture
    6m 3s
    In this video, you’ll look at the changes required to migrate to cloud-native architecture-based applications. You’ll learn the problems associated with monolith applications such as level of complexity, downtime, and costs. You’ll learn the reasons you may want to migrate to cloud-native, including the fact that these applications are lightweight and offer independence and durability. You’ll also learn the process to follow when migrating to cloud-native. FREE ACCESS
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    5.  12-Factor App Principles for Microservices
    6m 33s
    In this video, you'll learn the 12 Factor App Principles that help in building scalable, performant, independent, and resilient enterprise applications. You'll also learn about dependencies, which must be explicitly declared and isolated. You'll learn about backing services, and the build, release, and run factor. You'll also learn about executing apps as stateless processes. FREE ACCESS
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    6.  Design Patterns for Microservices
    7m 25s
    In this video, you'll learn how to specify the design patterns of microservice architecture and their roles. Topics include how to classify microservices design patterns into multiple groups, and identifying the different patterns for microservice testing, such as service component tests, consumer driven contract tests, and consumer-side contract tests. You'll also learn about patterns of deployment that are specifically used for microservices. FREE ACCESS
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    7.  Containerization in the Cloud
    5m 17s
    In this video, you’ll learn the concept and benefits of containerization in the cloud, as well as the differences between containerization and virtual machines. You’ll learn about the benefits of containerization, including the fact that it facilitates consistent environments because it gives developers the ability to create predictable environments that are isolated from other applications. Plus, you’ll learn that these environments can run anywhere. FREE ACCESS
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    8.  Container Management Platforms
    3m 36s
    In this video, you will learn the prominent container management platforms provided by public cloud providers. With these providers, you don't need to install or configure container management platform. These include Amazon Elastic Container Service, Amazon Elastic Kubernetes Service, and AWS Fargate. Hosted container managed systems maintain templates for containers and they help adapt and expand existing governance models and practices. Managed systems also conform to security policies and standards of the hosting environment. FREE ACCESS
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    9.  Deploying a Containerized Application
    4m 35s
    In this video, you’ll learn how to run a Docker enabled containerized application on an Amazon ECS cluster behind a load balancer. Following the onscreen instructions, you’ll follow directions in AWS. First, you’ll need to sign into your AWS account and use the Elastic Container Service option. By the end of the demo, you’ll choose the Application Load Balancer and run a Docker enable containerized application on an Amazon ECS cluster. FREE ACCESS
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    10.  The Advantages of Cloud Analytics for Business Data
    5m 36s
    In this video, you'll learn how to identify the advantages of cloud analytics, which enable fast and robust access to business analytics.You'll discover that moving business analytics to cloud allows you to use cloud resources that help analyze data. The cloud also helps to streamline business intelligence processes. You'll learn that the cloud provides advanced analytical tools and on-demand real-time analytics. FREE ACCESS
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    11.  Machine Learning Services in the Cloud
    5m 33s
    In this video, you'll outline the key features provided by Cloud Machine Learning Services. There are many reasons to use machine learning. It provides better accuracy, lower costs, and the resources to experiment with capabilities. Machine learning also simplifies implementation. 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. FREE ACCESS
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    12.  Cloud-based Artificial Intelligence (AI) Services
    4m 36s
    Building robust, scalable services 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 video you will learn how to identify prominent cloud-based AI services and describe the benefits of using AI to adopt efficient, strategic, and insight-driven cloud service implementation. The video discusses IBM Cloud, Amazon AI, Microsoft Azure, and Google AI. FREE ACCESS
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    13.  Big Data Solutions and Cloud
    7m 24s
    In this video, you'll learn how to identify prominent Big Data solutions along with the benefits of managimg Big Data architectures using the cloud. You'll learn to identify the essential characteristics of Big Data which include volume, velocity, variety, and veracity. FREE ACCESS
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    14.  Course Summary
    2m 23s
    This video will summarize what you’ve learned in the course. You’ve learned about the principles, architecture, advantages, and disadvantages of cloud native. You’ve also covered the 12 factor app principles, the design patterns of microservice architecture, the benefits of containerization in the cloud, the prominent container management platforms. You learned the key features cloud machine learning services provide, as well as the prominent cloud-based AI and big data solutions. FREE ACCESS

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