DATADOG INTRODUCTION - day1 Assessment(1 & 2)

What is Obserbability and its advantage?

1. Means being able to understand what's happening inside a computer system or software, like seeing inside a black box.
2. It involves collecting data and using tools to monitor, troubleshoot, and improve the system's performance.

Advantages of observability:

Spotting Problems: It helps find issues before they become big problems.
Quick Fixes: Makes it easier to figure out what's wrong and fix it faster.
Better Performance: Helps make the system run smoother and faster.
Preventing Issues: Helps prevent future problems by learning from past ones.
Security: Helps detect and stop security threats.

Difference betweenb Obserbability Monitoring?

1. Monitoring - like watching a checklist for specific
   things you know might go wrong,
   observability - like having tools to look for any unexpected
   issues and understand your system better, even if you didn't
   know what to look for in advance.

2. Monitoring - like having a fixed plan, and
   observability - like having the freedom to explore and learn
   as you go.

What is Datadog?

1. It collects information about how everything is working, from servers to applications.
2. Then, it shows this information in a clear and understandable way, so DevOps teams can quickly spot any issues, make improvements, and keep their systems running smoothly.
3. Think of it as a powerful tool that helps DevOps wizards manage digital kingdom.

What is Datadog Agent and How it works?

The Datadog Agent is like a data collector and reporter. It collects important information from your systems, sends it to a central place, and provides tools to help you keep systems running smoothly and troubleshoot any problems that arise.

The Datadog Agent is a small software program used in DevOps to monitor and gather data about the performance and health of computer systems. Here's how it works:

Installation: You install the Datadog Agent on the servers, virtual machines, or containers you want to monitor.

Data Collection: Once installed, the Agent continuously collects data such as CPU usage, memory usage, network activity, and application performance metrics.

Data Transmission: It securely sends this data to a central location, typically the Datadog platform, over the network.

Data Processing: The data is processed and stored centrally, making it accessible through a user-friendly dashboard.

Visualization and Analysis: DevOps teams use the dashboard to visualize and analyze the data. can create charts, graphs, and alerts to monitor system behavior.

Problem Resolution: The insights gained from the Agent's data help teams identify and resolve issues quickly, ensuring the smooth operation of their systems.

Component of Datadog Agent and short intro for each

Collector: Gathers data like system metrics and application performance information.

DogStatsD: Collects custom application metrics for analysis.

Trace Agent: Captures distributed tracing data to visualize request flows.

Log : Collects and forwards logs for centralized analysis.

Integrations: Pre-built connectors for monitoring various technologies.

Top 10 commands of Datadog Agent

1. sudo systemctl start datadog-agent
2. sudo systemctl stop datadog-agent
3. sudo systemctl status datadog-agent
4. sudo systemctl restart datadog-agent
5. sudo datadog-agent integration enable apache
6. sudo datadog-agent check
7. sudo tail -f /var/log/datadog/agent.log
8. sudo datadog-agent diag
9. sudo apt-get update && sudo apt-get install datadog-agent
10. sudo -u dd-agent /opt/datadog-agent/bin/dog check my_service_check

Locate how to enable Process monitoring in datadog.yaml?

1. Open your datadog.yaml configuration file. Look for the section where you configure integrations or checks. 2. This is usually under a section like integrations or checks.d.
2. In that section, add an entry for the process you want to monitor. This typically includes specifying the process name, and any additional settings or parameters you want to use for monitoring that process.
3. Save the datadog.yaml file.
4. Restart the Datadog agent or service for the changes to take effect.

Top 5 Techniques for troubleshooting Datadog Agent

1. Check Agent Logs: Examine Datadog Agent logs for error messages.
2. Configuration Validation: Validate your datadog.yaml configuration file for errors.
3. Agent Status and Metrics: Monitor agent health and performance using Datadog's metrics.
4. Firewall and Network Issues: Ensure network connectivity and check for firewall rules.
5. Update and Reinstall: Consider updating or reinstalling the Datadog Agent if issues persist.