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

Probability and Statistics in Data Science using Python (edX) EdX
University of California, San Diego,UC San DiegoX

Probability and Statistics in Data Science using Python (edX)

Statistics & Data Analysis CS: Programming

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. The job of a data scientist is to glean knowledge from complex and noisy datasets. Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the mathematical foundation for such reasoning.

Self Paced
Self-Paced
Programming Python Statistics
Details
Recommender Systems: Behind the Screen (edX) EdX
Université de Montréal,UMontrealX

Recommender Systems: Behind the Screen (edX)

Computer Science

How are items recommended when you’re browsing for movies, jobs or clothing online? Register here and you’ll discover the fundamental concepts and methods allowing the most relevant item suggestions to users from e-commerce to online advertisement. In this course, you will explore and learn the best methods and practices in recommender systems, which are an essential component of the online ecosystem. This course was developed by IVADO and HEC Montréal as part of a workshop that took place in Montreal.

Sep 26th 2023
5-12 Weeks
Machine Learning Systems Computer Science
Details
Data Science Essentials (edX) EdX
Microsoft

Data Science Essentials (edX)

Data Science

Explore data visualization and exploration concepts with experts from MIT and Microsoft, and get an introduction to machine learning. Demand for data science talent is exploding. Develop your career as a data scientist, as you explore essential skills and principles with experts from MIT and Microsoft. In this data science course, you will learn key concepts in data acquisition, preparation, exploration, and visualization. Plus, look at examples of how to build a cloud data science solution using Azure Machine Learning, R, and Python.

Not Available
Course Not Available
Machine Learning Data Science Data Visualization
Details
CS50's Introduction to Artificial Intelligence with Python (edX) EdX
HarvardX,Harvard University

CS50's Introduction to Artificial Intelligence with Python (edX)

Robotics & Computer Vision

Learn to use machine learning in Python in this introductory course on artificial intelligence. AI is transforming how we live, work, and play. By enabling new technologies like self-driving cars and recommendation systems or improving old ones like medical diagnostics and search engines, the demand for expertise in AI and machine learning is growing rapidly. This course will enable you to take the first step toward solving important real-world problems and future-proofing your career.

Self Paced
Self-Paced
Python Artificial Intelligence Machine Learning
Details
Artificial Intelligence (AI) (edX) EdX
Columbia University,ColumbiaX

Artificial Intelligence (AI) (edX)

Robotics & Computer Vision

Learn the fundamentals of Artificial Intelligence (AI), and apply them. Design intelligent agents to solve real-world problems including, search, games, machine learning, logic, and constraint satisfaction problems. What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common? They are all complex real world problems being solved with applications of intelligence (AI).

This course is archived
5-12 Weeks
Artificial Intelligence Robotics Vision
Details
Introduction to DevOps: Transforming and Improving Operations (edX) EdX
Linux Foundation

Introduction to DevOps: Transforming and Improving Operations (edX)

Security & Networking

Learn how to transform your organization using the principles and practices of DevOps. "Introduction to DevOps: Transforming and Improving Operations” aims to help you develop a good working knowledge of the concept of DevOps, covering the foundation, principles, and practices of DevOps. This course will focus on the successful patterns used by high performance organizations over the past 10 years.

No sessions available
5-12 Weeks
Change Management DevOps Continuous Delivery
Details
Marketing Analytics (edX) EdX
Columbia University,ColumbiaX

Marketing Analytics (edX)

Business

Develop quantitative models that leverage business data to forecast sales and support important marketing decisions. Marketers want to understand and forecast how customers purchase products and services and how they respond to marketing initiatives. Learn how analytics help businesses drive marketing to maximize its effectiveness and optimize return on investment (ROI).

This course is archived
5-12 Weeks
Marketing Machine Learning Value Creation
Details
Computer Applications of Artificial Intelligence and e-Construction (edX) EdX
Purdue University,PurdueX

Computer Applications of Artificial Intelligence and e-Construction (edX)

Engineering

Learn the fundamentals of artificial intelligence, machine learning, natural language processing and their applications in e-Construction. This course is the third in a sequence of interrelated courses of the current computer applications in the construction industry. The emphasis of this course is the advanced computational tools including artificial intelligence, machine learning, and natural language processing, and their applications in e-Construction.

Mar 28th 2022
5-12 Weeks
Programming Artificial Intelligence NLP
Details