CompTIA Cloud Essentials+: Cloud Native Apps & Cloud Data Analytics
CompTIA Cloud Essentials+
| Intermediate
- 14 videos | 1h 13m 1s
- Includes Assessment
- Earns a Badge
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
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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
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1.Course Overview1m 47sUP NEXT
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2.Cloud Native and Its Principles5m 11s
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3.Cloud-native Architecture7m 3s
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4.Migrating to a Cloud-native Architecture6m 3s
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5.12-Factor App Principles for Microservices6m 33s
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6.Design Patterns for Microservices7m 25s
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7.Containerization in the Cloud5m 17s
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8.Container Management Platforms3m 36s
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9.Deploying a Containerized Application4m 35s
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10.The Advantages of Cloud Analytics for Business Data5m 36s
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11.Machine Learning Services in the Cloud5m 33s
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12.Cloud-based Artificial Intelligence (AI) Services4m 36s
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13.Big Data Solutions and Cloud7m 24s
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14.Course Summary2m 23s
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