In today’s rapidly evolving IT landscape, monitoring and performance management are critical for DevOps teams. Datadog, a leading observability platform, has become an indispensable tool for monitoring infrastructure, applications, and logs in real time. DevOpsSchool’s Master in Datadog Certification Program stands out as the best choice for professionals aspiring to excel in monitoring and observability.

With expert mentorship from Rajesh Kumar, a renowned DevOps trainer, this course is meticulously designed to provide hands-on training, real-world use cases, and an industry-recognized certification to help you achieve your career goals.

Course Highlights and Certification Program

Key Features of the Program

• Comprehensive Curriculum: Covers Datadog’s features, including infrastructure monitoring, APM (Application Performance Monitoring), log management, and synthetic monitoring.
• Hands-on Labs: Practical exposure to real-world scenarios.
• Expert Mentorship: Guided by Rajesh Kumar, a thought leader in DevOps and observability tools.
• Certification: Industry-recognized Master in Datadog Certification.
• Flexible Learning Options: Both live instructor-led sessions and self-paced learning.

What You’ll Learn

• Setting up and configuring Datadog for infrastructure monitoring.
• Mastering APM to troubleshoot application performance issues.
• Using log analytics for efficient troubleshooting and auditing.
• Creating custom dashboards for actionable insights.
• Integrating Datadog with tools like Kubernetes, AWS, Azure, and CI/CD pipelines.

Course Outline and Agenda

Module 1: Introduction to Datadog

• Overview of Datadog and its features.
• Use cases and benefits.

Module 2: Setting Up Datadog

• Installation and configuration.
• Integrating Datadog with cloud providers and on-premises systems.

Module 3: Monitoring Infrastructure

• Metrics collection and visualization.
• Alerts and notifications.

Module 4: Application Performance Monitoring (APM)

• Setting up APM.
• Tracing and troubleshooting applications.

Module 5: Log Management

• Log collection and processing.
• Log analytics and monitoring.

Module 6: Advanced Features

• Synthetic monitoring.
• Creating custom dashboards.

Module 7: Best Practices and Real-World Use Cases

• Optimizing Datadog for large-scale systems.
• Implementing monitoring strategies.

Module 8: Certification and Final Project

• Hands-on project based on real-world scenarios.
• Certification exam.

Frequently Asked Questions (FAQs)

Who should take this course?

This course is ideal for DevOps engineers, system administrators, developers, and IT professionals looking to master observability and monitoring using Datadog.

What are the prerequisites?

• Basic understanding of cloud computing and monitoring tools.
• Familiarity with DevOps concepts.

What will I achieve after completing this course?

You will be proficient in using Datadog for monitoring, performance optimization, and troubleshooting. You’ll also receive an industry-recognized certification.

What is the mode of training?

The course offers live instructor-led sessions, self-paced learning, and hands-on labs.

About the Trainer: Rajesh Kumar

Rajesh Kumar, a DevOps pioneer, brings over a decade of experience in DevOps tools and methodologies. His expertise spans across monitoring solutions, including Datadog, Prometheus, and Grafana. With his guidance, you’ll gain practical knowledge and skills to excel in your career.

Learn more about Rajesh Kumar at his official website: rajeshkumar.xyz.

Comparison of Top Master in Datadog Certifications

DevOpsSchool consistently scores the highest across all criteria, making it the top choice for Master in Datadog Certification.

Conclusion

The Master in Datadog Certification by DevOpsSchool is a game-changer for professionals aiming to master observability and monitoring. With a comprehensive curriculum, hands-on labs, and expert guidance from Rajesh Kumar, this program equips you with the skills and certification to stand out in your career.