Datadog Training

Live Online & Classroom Enterprise Training

Datadog is a cloud-based monitoring and security platform that provides real-time insights into applications, infrastructure, and logs. It helps organizations track performance, detect anomalies, and optimize system reliability across cloud and on-premises environments.

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What is Datadog Training about?

This course provides a foundational understanding of Datadog, a leading monitoring and observability platform. Participants will learn how to monitor applications, infrastructure, and cloud services using Datadog's powerful tools and features. The course also covers key concepts such as metrics, logs, traces, and dashboards, enabling participants to gain real-time insights into their systems' performance and reliability.

What are the objectives of Datadog Training ?

Datadog Fundamentals: Understand the core functionalities and components of the Datadog platform.
Monitoring and Observability: Learn how to set up monitors, collect metrics, and view system logs for effective monitoring.
Building Dashboards: Create intuitive dashboards to visualize metrics and gain actionable insights.
Integrations: Discover how to integrate Datadog with third-party tools, cloud services, and DevOps workflows.
Troubleshooting and Alerts: Set up automated alerts and resolve performance issues using Datadog's troubleshooting features.

Who is Datadog Training for?

System Administrators: Professionals responsible for maintaining the health of IT systems.
DevOps Engineers: Engineers looking to integrate monitoring and observability into their CI/CD pipelines.
Cloud Architects: Those managing cloud-native applications and seeking better operational insights.
IT Managers: Managers aiming to track system performance and reliability across their infrastructure.
Developers: Developers who want to monitor application behavior and debug performance bottlenecks.

What are the prerequisites for Datadog Training?

Basic IT Knowledge: Familiarity with IT infrastructure components such as servers, databases, and cloud platforms.
Experience with Monitoring Tools (Optional): Prior experience with monitoring DATADOG or observability tools is helpful but not mandatory.
Understanding of Cloud Services (Optional): Basic knowledge of cloud platforms like AWS, Azure, or GCP is beneficial.

Available Training Modes

Live Online Training

2 Days

Self-Paced Training

10 Hours

Course Outline Expand All

Expand All

Module 1: Introduction to Datadog

Overview of Datadog and its features

The role of observability in modern IT operations

Key benefits of using Datadog

Module 2: Setting Up Datadog

Installing the Datadog agent on various platforms

Configuring integrations for applications and cloud providers

Exploring the Datadog user interface

Module 3: Metrics and Logs

Collecting and managing system metrics

Configuring log collection and analysis

Visualizing logs and identifying trends

Module 4: Tracing and Application Performance Monitoring (APM)

Understanding distributed tracing

Monitoring application performance with Datadog APM

Analyzing traces for debugging and optimization

Module 5: Dashboards and Visualizations

Building and customizing dashboards

Using widgets and filters for detailed insights

Sharing dashboards with teams

Module 6: Alerts and Notifications

Setting up monitors for critical metrics

Configuring alerts and notifications using email, Slack, and other channels

Best practices for proactive monitoring

Module 7: Integrations and Automation

Integrating Datadog with CI/CD pipelines

Automating workflows using Datadog APIs

Advanced integrations with Kubernetes, Docker, and other tools

Who is the instructor for this training?

The trainer for this Datadog Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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