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DataDog

DataDog

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Requirements

  • Basic knowledge of cloud computing concepts and architecture (AWS, Azure, or Google Cloud Platform)
  • Familiarity with networking and security concepts
  • Understanding of IT infrastructure components such as servers, applications, and databases

Target Audience

  • Here are some specific roles that can benefit from learning DataDog:
  • IT Operations teams
  • DevOps engineers
  • Software developers
  • Data analysts
  • System administrators
  • Network engineers
  • Cloud architects
  • Security analysts
  • If you work in any of these roles or are interested in performance monitoring and analysis, then learning DataDog can be beneficial for you.

About Course

DataDog is a cloud-based monitoring and analytics platform that provides visibility into the performance of an organization's applications, infrastructure, and logs.
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What I will learn?

  • By learning DataDog, individuals can gain valuable skills in monitoring and analyzing application and infrastructure performance, which can help them advance their careers in IT, DevOps, or software development.

Course Curriculum

Introduction to DataDog

  • An overview of what DataDog is
    00:00
  • DataDog features
    00:00
  • How it can help organizations monitor their applications and infrastructure.
    00:00

Setting up DataDog

Monitoring with DataDog

DataDog integrations

Analyzing data with DataDog

Troubleshooting with DataDog

Best practices for DataDog

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