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Updated in [March 06th, 2023]

This course, DevOps on AWS: Operate and Monitor, is the third of three courses in the DevOps on AWS series. It provides an overview of the advantages of monitoring CI/CD pipelines, how to monitor with Amazon CloudWatch, understanding AWS Config and Amazon EventBridge for compliance, how to use machine learning for operations monitoring, and how to separate environment, application, and network metrics. Additionally, the course examines the advantages of Amazon CloudWatch, investigates methods for monitoring applications and networks, and explains how to reduce risks during the DevOps journey. It also investigates the advantages of AWS Systems Manager and popular third-party services and tools for DevOps operations.

[Applications]
The application of this course can be seen in the implementation of DevOps on AWS. After completing this course, users will be able to monitor their CI/CD pipelines, use Amazon CloudWatch and AWS Config for compliance, use machine learning for operations monitoring, separate environment, application, and network metrics, reduce risks during their DevOps journey, and investigate popular third-party services and tools for DevOps operations. Additionally, users will be able to use AWS Systems Manager to manage their DevOps operations.

[Career Paths]
1. DevOps Engineer: DevOps Engineers are responsible for developing and maintaining the infrastructure and tools that enable software development teams to build, test, and deploy applications quickly and reliably. They are also responsible for automating processes, monitoring system performance, and ensuring that systems are secure and compliant. As DevOps continues to grow in popularity, the demand for DevOps Engineers is expected to increase.

2. Cloud Engineer: Cloud Engineers are responsible for designing, deploying, and managing cloud-based applications and services. They must be knowledgeable in cloud computing technologies, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). As cloud computing continues to grow in popularity, the demand for Cloud Engineers is expected to increase.

3. Security Engineer: Security Engineers are responsible for designing, implementing, and maintaining security systems to protect an organization’s data and systems from unauthorized access. They must be knowledgeable in security technologies, such as firewalls, encryption, and authentication. As cyber security threats continue to increase, the demand for Security Engineers is expected to increase.

4. Data Engineer: Data Engineers are responsible for designing, developing, and maintaining data systems. They must be knowledgeable in data technologies, such as databases, data warehouses, and data lakes. As data continues to grow in importance, the demand for Data Engineers is expected to increase.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming, software engineering, and computer architecture. Students will also learn about the latest technologies and trends in the field, such as cloud computing, artificial intelligence, and machine learning. This degree path is ideal for those looking to pursue a career in DevOps, as it provides the necessary skills and knowledge to develop, deploy, and maintain applications on the cloud.

2. Master of Science in Cloud Computing: This degree path focuses on the development and deployment of cloud-based applications. Students will learn about cloud architecture, cloud security, and cloud-based DevOps tools and techniques. This degree path is ideal for those looking to specialize in DevOps on the cloud, as it provides the necessary skills and knowledge to develop, deploy, and maintain applications on the cloud.

3. Master of Science in Data Science: This degree path focuses on the analysis and interpretation of data. Students will learn about data mining, machine learning, and data visualization. This degree path is ideal for those looking to specialize in DevOps on the cloud, as it provides the necessary skills and knowledge to develop, deploy, and maintain applications on the cloud.

4. Master of Science in Artificial Intelligence: This degree path focuses on the development and deployment of artificial intelligence applications. Students will learn about machine learning, natural language processing, and computer vision. This degree path is ideal for those looking to specialize in DevOps on the cloud, as it provides the necessary skills and knowledge to develop, deploy, and maintain applications on the cloud.

Course Syllabus

Introduction to DevOps on AWS: Operate and Monitor

Why Monitoring?

First: Adding Instruments to the Cloud Environment

How to Know When Something Changes in the Cloud?

Activity and Administrative API Monitoring into the AWS Environment

Second: Instrumenting the App

Third: Network Monitoring