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

Data Science and Agile Systems for Product Management (edX) EdX
University of Maryland, College Park,University System of Maryland - USM,USMx,UMD

Data Science and Agile Systems for Product Management (edX)

Deliver faster, higher quality, and fault-tolerant products regardless of industry using the latest in Agile, DevOps, and Data Science. Modern systems today must be designed for agility in order to outpace the competition. Concepts like Agile, DevOps, and Data Science were once considered only for the technology-based companies. Today that means every company. Because there is no greater currency than timely information for optimizing operations and meeting the needs of customers.

Self Paced
Self-Paced
Python for Data Science (edX) EdX
University of California, San Diego,UC San DiegoX

Python for Data Science (edX)

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
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)

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
Data Science and Machine Learning Capstone Project (edX) EdX
IBM

Data Science and Machine Learning Capstone Project (edX)

Create a project that you can use to showcase your Data Science skills to prospective employers. Apply various data science and machine learning techniques to analyze and visualize a data set involving a real life business scenario and build a predictive model. Now that you've taken several courses on data science and machine learning, it’s time to put your learning to work on a data problem involving a real life scenario. Employers really care about how well you can apply your knowledge and skills to solve real world problems, and the work you do in this capstone project will make you stand out in the job market.

Self Paced
Self-Paced
Fundamentals of TinyML (edX) EdX
HarvardX,Harvard University

Fundamentals of TinyML (edX)

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML. What do you know about TinyML? Tiny Machine Learning (TinyML) is one of the fastest-growing areas of Deep Learning and is rapidly becoming more accessible. This course provides a foundation for you to understand this emerging field.

Self Paced
Self-Paced