EdX

DevOps on AWS: Operate and Monitor (edX)

Offered by AWS,
DevOps on AWS: Operate and Monitor (edX)

Track, identify, understand key metrics and resolve application or infrastructure issues in real time. The third and the final course in the DevOps series will teach how to use AWS Services to control the architecture in order to reach a better operational state.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Monitoring and Operation are key aspects for both the release pipeline and production environments, because they provide instruments that help discover what's happening, as well as do modifications and enhancements on infrastructure that is currently running. This course teaches how to use Amazon CloudWatch for monitoring, as well as Amazon EventBridge and AWS Config for continuous compliance. It also covers Amazon CloudTrail and a little bit of Machine Learning for Monitoring operations!

What you'll learn

  • How to use Amazon CloudWatch for monitoring
  • Understanding Amazon EventBridge and AWS Config for compliance
  • How to use Machine Learning for monitoring operations
  • Describe the benefits of monitoring CI/CD pipelines
  • Differentiate between environment, application, and network metrics
  • Explore the benefits of Amazon CloudWatch
  • Explore ways to monitor your application and network
  • Describe the importance of operation in CI/CD pipelines
  • Explain how you can mitigate risks in the DevOps journey
  • Explore the benefits of AWS Systems Manager
  • Explore common third-party services and tool for DevOps operations

This course is part of the DevOps on AWS XSeries

Syllabus

Week 1
This week, you will start by reviewing topics covered in the first and second courses of the DevOps on AWS series. You will then learn about the importance of monitoring and why instrumenting your environment is helpful. You will explore how Amazon CloudWatch provides you with data and actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health. Lastly, you will get hands-on with other important AWS solutions to monitor pipeline changes.

Week 2
This week, you will start by learning about the importance of operation in continuous integration and continuous delivery (CI/CD) pipelines and discover how to detect unmanaged configuration changes to your cloud resources. Though this course focused on AWS solutions for DevOps operations and monitoring, you will also learn about third-party, open-source tooling that are well-known and widely used by the DevOps community. Lastly, you will get hands-on and run commands using AWS Systems Manager, and output logs to Amazon CloudWatch.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Machine Learning at the Edge on Arm: A Practical Introduction (edX) EdX
Arm Education,ArmEducationX

Machine Learning at the Edge on Arm: A Practical Introduction (edX)

Engineering Eng: Electronics

This course will provide you with the hands-on experience you’ll need to create innovative ML applications using ubiquitous Arm-based microcontrollers. The age of machine learning has arrived! Arm technology is powering a new generation of connected devices with sophisticated sensors that can collect a vast range of environmental, spatial and audio/visual data. Typically this data is processed in the cloud using advanced machine learning tools that are enabling new applications reshaping the way we work, travel, live and play.

Self Paced
Self-Paced
ML Artificial Intelligence Machine Learning
Details
Essentials of Genomics and Biomedical Informatics (edX) EdX
IsraelX

Essentials of Genomics and Biomedical Informatics (edX)

Sci: Biology & Life Sciences Medicine & Pharmacology

This course presents clinicians and digital health enthusiasts with an overview of the data revolution in medicine and how to exploit it for research and in the clinic. The course will not make you a bioinformatician but will introduce the main concepts, tools, algorithms, and databases in this field.

Self Paced
5-12 Weeks
Health Artificial Intelligence Machine Learning
Details
Introduction to DevOps and Site Reliability Engineering (edX) EdX
Linux Foundation,LinuxFoundationX

Introduction to DevOps and Site Reliability Engineering (edX)

Computer Science

Learn how to start transforming your organization using the principles and practices of DevOps. As Agile practices started revolutionizing software development, there has been an increasing need to bridge the gap between faster development vs. slower deployment and operational practices. With its modern principles, practices and an array of state-of-the-art automation tools, DevOps provides a path to bring your operations into the Agile manifold, ultimately resulting in faster software delivery, without compromising on quality.

Self Paced
Self-Paced
Agile Cloud Computing DevOps
Details
Python for Data Science (edX) EdX
University of California, San Diego,UC San DiegoX

Python for Data Science (edX)

Statistics & Data Analysis CS: Programming

Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets. In the information age, data is all around us. Within this data are answers to compelling questions across many societal domains (politics, business, science, etc.). But if you had access to a large dataset, would you be able to find the answers you seek?

Self Paced
Self-Paced
Programming Python Machine Learning
Details
Foundations of Data Analytics (edX) EdX
The Hong Kong University of Science and Technology - HKUST,HKUSTx

Foundations of Data Analytics (edX)

Statistics & Data Analysis Computer Science

Learn the fundamental techniques for data analytics and to be prepared for learning and applying more advanced big data technologies. Foundations of Data Analytics: This course will provide fundamental techniques for data analytics, including data collection, data extraction, data integration, data cleansing, and basic machine learning techniques.

Self Paced
Self-Paced
Machine Learning Big Data Data Privacy
Details
Digital Marketing Analytics: Tools and Techniques (edX) EdX
University of Maryland, College Park,University System of Maryland - USM,USMx,UMD

Digital Marketing Analytics: Tools and Techniques (edX)

Marketing & Communication Business

Learn how to leverage leading tools and approaches to digital marketing data analysis. Dive into SEO and SEM strategies including web analytics, machine learning and AI/Big Data applications to strengthen your digital marketing efforts and leverage your resources most effectively.

Self Paced
Self-Paced
Machine Learning SEO Digital Marketing
Details