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Michael Jenkins
This course will teach you to configure Datadog to collect metrics from infrastructure and applications for monitoring, alerting, and tracking system performance.
Read more
This course will teach you to configure Datadog to collect metrics from infrastructure and applications for monitoring, alerting, and tracking system performance.
Read more
This course will teach you to configure Datadog to collect metrics from infrastructure and applications for monitoring, alerting, and tracking system performance.
Datadog provides infrastructure and application monitoring as a service. In this course, Datadog Fundamentals, you will learn to use Datadog as a central location for collecting and visualizing system metrics and performance information. First, you’ll learn to set up monitors and notifications that alert you when your servers or applications are not running as expected. Next, you’ll explore how dashboards are used to visualize metrics. Finally, you’ll discover how advanced log aggregation can be used for additional insight into system behavior. By the end of the course, you’ll understand how Datadog provides a complete picture of application performance from end to end.
Register for this course and see more details by visiting:
OpenCourser.com/course/r8z4io/datadog
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What's inside
Syllabus
Course Overview
An Introduction to Datadog
An Overview of Datadog Integrations
Applying the Datadog Agent
Read more
Syllabus
Course Overview
An Introduction to Datadog
An Overview of Datadog Integrations
Applying the Datadog Agent
Read more
Collecting and Visualizing Metrics
Displaying Data with Dashboards
Understanding Application Performance Monitoring
Understanding Synthetic Monitoring
Log Management
Applying Alerts and Notifications
Course Review
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces students to the benefits of the Datadog platform which is a popular toolset in the industry
Provides learners with experience using a central location for collecting system and performance metrics, which is a common industry requirement
Teaches learners about dashboards for visualizing metrics, which is standard in industry best practices for monitoring system performance
Save this course
Save Datadog Fundamentals to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Datadog Fundamentals with these
activities:
Practice Configuring Datadog Monitoring Agents
Show steps
Solidify your understanding of Datadog agent configuration by completing hands-on exercises.
Show steps
-
Set up monitoring agents on various systems.
-
Configure agents to collect metrics from different sources.
-
Troubleshoot common agent configuration issues.
Explore Additional Datadog Integrations
Show steps
Expand your knowledge of Datadog's capabilities by exploring additional integrations with other tools and platforms.
Show steps
-
Review the documentation or online tutorials for various Datadog integrations.
-
Configure and test these integrations to enhance your monitoring capabilities.
Design a Datadog Dashboard for a Specific Application
Show steps
Apply your knowledge of Datadog dashboards by creating a customized visualization for a real-world application.
Show steps
-
Identify the key metrics and performance indicators for the application.
-
Design a dashboard layout that effectively presents these metrics.
-
Configure widgets and visualizations to display the data in a clear and actionable way.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Attend a Workshop on Advanced Log Management in Datadog
Show steps
Deepen your understanding of Datadog's advanced log management capabilities through a hands-on workshop.
Show steps
-
Register and attend a workshop on advanced log management in Datadog.
-
Participate actively in the workshop, asking questions and sharing insights.
Develop a Plan for Implementing Datadog in a Production Environment
Show steps
Demonstrate your ability to apply Datadog effectively by creating a comprehensive implementation plan for a production environment.
Show steps
-
Gather requirements and define the scope of the Datadog implementation.
-
Design the monitoring architecture and select appropriate agents and integrations.
-
Develop a deployment plan and timeline for rolling out Datadog.
Contribute to the Datadog Open Source Community
Show steps
Gain practical experience and enhance your understanding by contributing to Datadog's open-source projects.
Show steps
-
Identify a Datadog open-source project to contribute to.
-
Review the project's documentation and codebase.
-
Make a code contribution or participate in discussions.
Mentor Junior Engineers on Datadog Best Practices
Show steps
Reinforce your understanding of Datadog by sharing your knowledge and guiding junior engineers in best practices.
Show steps
-
Identify opportunities to mentor junior engineers on Datadog.
-
Share your knowledge and experience, providing guidance and support.
Practice Configuring Datadog Monitoring Agents
Show steps
Solidify your understanding of Datadog agent configuration by completing hands-on exercises.
Show steps
Show steps
Show steps
- Set up monitoring agents on various systems.
- Configure agents to collect metrics from different sources.
- Troubleshoot common agent configuration issues.
Explore Additional Datadog Integrations
Show steps
Expand your knowledge of Datadog's capabilities by exploring additional integrations with other tools and platforms.
Show steps
Show steps
Show steps
- Review the documentation or online tutorials for various Datadog integrations.
- Configure and test these integrations to enhance your monitoring capabilities.
Design a Datadog Dashboard for a Specific Application
Show steps
Apply your knowledge of Datadog dashboards by creating a customized visualization for a real-world application.
Show steps
Show steps
Show steps
- Identify the key metrics and performance indicators for the application.
- Design a dashboard layout that effectively presents these metrics.
- Configure widgets and visualizations to display the data in a clear and actionable way.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Attend a Workshop on Advanced Log Management in Datadog
Show steps
Deepen your understanding of Datadog's advanced log management capabilities through a hands-on workshop.
Show steps
Show steps
Show steps
- Register and attend a workshop on advanced log management in Datadog.
- Participate actively in the workshop, asking questions and sharing insights.
Develop a Plan for Implementing Datadog in a Production Environment
Show steps
Demonstrate your ability to apply Datadog effectively by creating a comprehensive implementation plan for a production environment.
Show steps
Show steps
Show steps
- Gather requirements and define the scope of the Datadog implementation.
- Design the monitoring architecture and select appropriate agents and integrations.
- Develop a deployment plan and timeline for rolling out Datadog.
Contribute to the Datadog Open Source Community
Show steps
Gain practical experience and enhance your understanding by contributing to Datadog's open-source projects.
Show steps
Show steps
Show steps
- Identify a Datadog open-source project to contribute to.
- Review the project's documentation and codebase.
- Make a code contribution or participate in discussions.
Mentor Junior Engineers on Datadog Best Practices
Show steps
Reinforce your understanding of Datadog by sharing your knowledge and guiding junior engineers in best practices.
Show steps
Show steps
Show steps
- Identify opportunities to mentor junior engineers on Datadog.
- Share your knowledge and experience, providing guidance and support.
Career center
Learners who complete Datadog Fundamentals will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
A Data Engineer designs, develops, and deploys systems to manage and process large volumes of data collected from different sources. They apply their knowledge of data structures, algorithms, and programming languages to build and maintain scalable and efficient data pipelines. This course provides a solid foundation for aspiring Data Engineers, particularly in the area of data collection and monitoring, which is crucial for ensuring the accuracy and reliability of data-driven decision-making.
Database Administrator
Database Administrator
A Database Administrator ensures the smooth and secure functioning of databases, including designing, installing, configuring, and maintaining them. They play a vital role in ensuring data accuracy, accessibility, and security. This course can be particularly valuable for Database Administrators who want to enhance their skills in monitoring and optimizing database performance, as well as in implementing effective alerting and notification mechanisms.
DevOps Engineer
DevOps Engineer
A DevOps Engineer collaborates with software developers and IT operations teams to improve the efficiency and reliability of software development and deployment processes. This course can help DevOps Engineers develop a comprehensive understanding of performance monitoring, alerting, and log management, which are essential for maintaining a stable and high-performing software environment.
IT Systems Administrator
IT Systems Administrator
An IT Systems Administrator is responsible for maintaining and supporting the IT infrastructure of an organization, including hardware, software, and networks. This course can be highly beneficial for IT Systems Administrators who wish to enhance their skills in system monitoring, performance analysis, and incident response, as these tasks are central to their daily responsibilities.
Site Reliability Engineer
Site Reliability Engineer
A Site Reliability Engineer ensures the reliability, performance, and efficiency of websites and online services. This course can be highly relevant to Site Reliability Engineers, providing them with a deep understanding of performance monitoring, data visualization, and incident management, which are critical for maintaining the stability and uptime of online systems.
Cloud Architect
Cloud Architect
A Cloud Architect designs, implements, and manages cloud computing solutions. This course can be valuable for Cloud Architects who want to gain expertise in monitoring and optimizing cloud-based systems and applications, ensuring their efficient and reliable operation.
Performance Engineer
Performance Engineer
A Performance Engineer analyzes and improves the performance of software and systems. This course can be highly relevant to Performance Engineers, as it covers performance monitoring, data visualization, and bottleneck identification techniques, which are crucial for optimizing system performance.
Network Engineer
Network Engineer
A Network Engineer designs, implements, and maintains computer networks. This course can be valuable for Network Engineers who want to enhance their skills in monitoring and optimizing network performance, ensuring reliable and efficient data transmission.
Security Engineer
Security Engineer
A Security Engineer protects computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be useful for Security Engineers who want to enhance their understanding of system monitoring and log analysis, which are essential for detecting and responding to security threats.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, and interprets data to identify trends and patterns. This course may be useful for Data Analysts who want to develop skills in data visualization and dashboard creation, which are important for presenting data insights effectively.
Business Analyst
Business Analyst
A Business Analyst works with stakeholders to understand their business needs and develop solutions to meet those needs. This course may be useful for Business Analysts who want to enhance their skills in data visualization and dashboard creation, which can help them communicate insights and recommendations effectively.
Product Manager
Product Manager
A Product Manager is responsible for the development, launch, and ongoing management of a product. This course may be useful for Product Managers who want to develop skills in understanding and interpreting system performance data, which can help them make informed decisions about product development and roadmap.
Software Developer
Software Developer
A Software Developer designs, develops, and tests software applications. This course may be useful for Software Developers who want to enhance their skills in performance monitoring and debugging, which can help them build more stable and efficient software.
Systems Analyst
Systems Analyst
A Systems Analyst analyzes and designs computer systems. This course may be useful for Systems Analysts who want to develop skills in system monitoring and performance analysis, which can help them optimize and improve the efficiency of IT systems.
IT Consultant
IT Consultant
An IT Consultant provides advice and guidance to organizations on IT-related matters. This course may be useful for IT Consultants who want to enhance their skills in system monitoring and performance analysis, which can help them assess and recommend improvements to IT systems and infrastructure.
For more career information including salaries, visit:
OpenCourser.com/course/r8z4io/datadog
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Datadog Fundamentals.
Provides a comprehensive overview of SRE principles and practices. It valuable resource for anyone who wants to learn more about SRE and how it can be applied to their organization.
Save
Provides a comprehensive overview of Kubernetes operators, a powerful tool for managing Kubernetes applications. It valuable resource for anyone who wants to learn more about Kubernetes operators and how they can be used to improve the management of their Kubernetes applications.
Save
Provides a comprehensive overview of DevOps, a set of practices that combine software development and operations. It valuable resource for anyone who wants to learn more about DevOps and how it can be used to improve the development and deployment of their applications.
Save
Provides a comprehensive overview of DevOps, a set of practices that combine software development and operations. It valuable resource for anyone who wants to learn more about DevOps and how it can be used to improve the development and deployment of their applications.
Provides a comprehensive overview of software development best practices. It valuable resource for anyone who wants to learn more about how to write better software.
Save
Provides a comprehensive overview of software design and coding best practices. It valuable resource for anyone who wants to learn more about how to write clean and maintainable software.
Provides a comprehensive overview of software testing best practices. It valuable resource for anyone who wants to learn more about how to test software effectively.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/r8z4io/datadog
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Time
178 hours
Level
Intermediate
Via
Pluralsight
Instructor
Michael Jenkins
Language
English
Good to know
Introduces students to the benefits of the Datadog platform which is a popular toolset in the industry
Provides learners with experience using a central location for collecting system and performance metrics, which is a common industry requirement
Teaches learners about dashboards for visualizing metrics, which is standard in industry best practices for monitoring system performance
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