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Amazon CloudWatch in 60 Minutes- Monitor your AWS resources

  • Development
  • Jan 12, 2025
SynopsisAmazon CloudWatch in 60 Minutes: Monitor your AWS resources,...
Amazon CloudWatch in 60 Minutes- Monitor your AWS resources  No.1

Amazon CloudWatch in 60 Minutes: Monitor your AWS resources, available at $34.99, has an average rating of 4.2, with 28 lectures, based on 80 reviews, and has 476 subscribers.

You will learn about How to monitor AWS resources like EC2 instances, Application Load Balancers, ECS clusters and more How to aggregate logs from your applications into Amazon CloudWatch How to use Amazon CloudWatch Synthetics to monitor key transactions in your application How to use Amazon CloudWatch ServiceLens to make troubleshooting of your application stack easier How to use Python and Boto3 to read data from the Amazon CloudWatch API How to use Python and Boto3 to send Custom Metrics into Amazon CloudWatch This course is ideal for individuals who are Software developers looking to aggregate logs and/or monitor their applications with Amazon CloudWatch or System administrators looking to monitor AWS resources It is particularly useful for Software developers looking to aggregate logs and/or monitor their applications with Amazon CloudWatch or System administrators looking to monitor AWS resources.

Enroll now: Amazon CloudWatch in 60 Minutes: Monitor your AWS resources

Summary

Title: Amazon CloudWatch in 60 Minutes: Monitor your AWS resources

Price: $34.99

Average Rating: 4.2

Number of Lectures: 28

Number of Published Lectures: 28

Number of Curriculum Items: 28

Number of Published Curriculum Objects: 28

Original Price: $54.99

Quality Status: approved

Status: Live

What You Will Learn

  • How to monitor AWS resources like EC2 instances, Application Load Balancers, ECS clusters and more
  • How to aggregate logs from your applications into Amazon CloudWatch
  • How to use Amazon CloudWatch Synthetics to monitor key transactions in your application
  • How to use Amazon CloudWatch ServiceLens to make troubleshooting of your application stack easier
  • How to use Python and Boto3 to read data from the Amazon CloudWatch API
  • How to use Python and Boto3 to send Custom Metrics into Amazon CloudWatch
  • Who Should Attend

  • Software developers looking to aggregate logs and/or monitor their applications with Amazon CloudWatch
  • System administrators looking to monitor AWS resources
  • Target Audiences

  • Software developers looking to aggregate logs and/or monitor their applications with Amazon CloudWatch
  • System administrators looking to monitor AWS resources
  • Learn from industry-leading DevOps and Cloud Engineers at Releaseworks:

    In the next 60 minutes, you will learn the core features of CloudWatch like Metrics, Logs, Events, Alarms, ServiceLens and Synthetics, and how to use them in practice. We will also cover the basic usage of the CloudWatch API with Python and the Boto3 library.

    Amazon Web Services, or AWS, is the leading cloud platform in the world. Amazon CloudWatch is the native monitoring and log aggregation platform in AWS. Amazon CloudWatch enables you to monitor both infrastructure and applications running in AWS and provides a multitude of useful features to gather, analyze, and visualize operational data.

    Amazon CloudWatch Fundamentals includes 8 labs to help you practice along with the instructor, and learn by doing.

    This course will teach you how to create monitoring dashboards for your AWS resources, and configure alarms when there is an issue that needs your attention. We will walk you through using ServiceLens to monitor the health of your applications beneath the surface, and creating canary scripts with CloudWatch Synthetics to enable better monitoring of your application and API endpoints.

    To help you take your knowledge to the next level, we will also teach you how to use simple Python scripts to integrate with the open CloudWatch API for reading data and sending Custom Metrics into Amazon CloudWatch.

    Finally, we will teach you the best practices of alerting, based on our experience working with a number of critical systems and software development teams.

    Did you know that DevOps is one of the most sought-after set of skills in the job market right now, with tens of thousands of open roles globally. According to PayScale, the median DevOps salary in the U.S. is $93,770 per year. The best DevOps specialists on the market can name their price, and often earn more than $200,000 in a year. The best time to start learning DevOps was 5 years ago – the second best time is now!

    Releaseworks is an upskilling-focussed DevOps and cloud engineering consultancy based in London. We help some of the largest digital organizations in the world to take full advantage of the cloud, and implement DevOps ways of working. Our mission is to help software development teams release better software, faster. Releaseworks Academy is the collection of learning resources that we use to upskill the software development teams of our clients, as well as our own cloud engineers.

    Course Curriculum

    Chapter 1: Introduction

    Lecture 1: Welcome to Amazon CloudWatch Fundamentals

    Lecture 2: Meet your instructor: David Bien, Cloud Engineer

    Lecture 3: What you will learn on this course

    Lecture 4: How to create an AWS account

    Chapter 2: CloudWatch Basics

    Lecture 1: What is Amazon CloudWatch

    Lecture 2: Components of CloudWatch

    Lecture 3: CloudWatch architecture

    Lecture 4: Dashboards

    Lecture 5: Alarms

    Lecture 6: Logs

    Lecture 7: Metrics

    Lecture 8: Events

    Lecture 9: ServiceLens

    Lecture 10: Synthetics

    Lecture 11: Logs vs Metrics – Whats the difference

    Chapter 3: Hands-on with CloudWatch

    Lecture 1: Lab: Create a CloudWatch Dashboard

    Lecture 2: Lab: Create a CloudWatch Alarm

    Lecture 3: Lab: Create a graph with CloudWatch Metrics

    Lecture 4: Lab: Create a CloudWatch Event

    Lecture 5: Lab: How to use CloudWatch ServiceLens

    Lecture 6: Lab: How to use CloudWatch Synthetics

    Lecture 7: Lab: Reading data from CloudWatch with Python and Boto3

    Lecture 8: Lab: Sending custom metrics to CloudWatch with Python and Boto3

    Lecture 9: Best Practices of using Amazon CloudWatch

    Chapter 4: Afterword & Next Steps

    Lecture 1: Five takeaways from this course

    Lecture 2: Congratulations

    Lecture 3: Further reading

    Lecture 4: Bonus: Recommended further learning

    Instructors

  • Amazon CloudWatch in 60 Minutes- Monitor your AWS resources  No.2
    Releaseworks Academy
    Learn from industry-leading DevOps and Cloud Engineers
  • Rating Distribution

  • 1 stars: 5 votes
  • 2 stars: 6 votes
  • 3 stars: 16 votes
  • 4 stars: 30 votes
  • 5 stars: 23 votes
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