Question 1. What is Datadog Agent?
Ans :- Datadog Agent is open-source software that monitors the host on which it runs. Acting as a DogStatsD server, Datadog Agent also aggregates metrics from other processes or containers on the host.
It basically collects events and metrics from hosts and sends them to Datadog, where you can analyze your monitoring and performance data.
Question 2. What are list of methods to send data to Datadog?
Ans :- We can Integrate AWS, GCP for the data and also using API
Question 3:- Top 10 commands of Datadog Agent
Ans:- 1. systemctl start datadog-agent
- systemctl stop datadog-agent
- systemctl restart datadog-agent
- systemctl status datadog-agent
- datadog-agent configcheck
- datadog-agent config
- datadog-agent health
- datadog-agent hostname
- datadog-agent version
Question 4. Top 10 Techniques for troubleshooting Datadog Agent
Ans :- 1. Check Datadog Agent Process is running or not
- Check Datadog Agent Logs for Error
- Check Datadog Agent Configuration file(datadog.yaml) syntax Error
- Check Datadog Integration Configuration file(datadog.yaml) syntax Error
- Check Datadog Agent API Key in datadog.yaml
- Check ENV variable set for Datadog Agent conflict with datadog.yaml
- Print the runtime configuration of a running agent
- Print all configurations loaded & resolved of a running agent
- Execute some connectivity diagnosis on your system
- Print the current agent health
Question 5. Top 10 Metrices of Linux Servers which you should care it?
Ans :- > CPU Usage
System Load
Memory utilization and processes
Disk utilization
Inode usage
Cron jobs
Question 6. Write down the steps to enable any integration in datadog?
Ans :- Step 1:- Install datadog-agent
Step 2:- Integrate any service like apache by going to Integration- Integrations and search for the service and Install it.
Step 3:- Follow the steps to configure that connection in the config files.
Step 4:- Validate.
Question 7. Top 10 Metrices of Windows Servers which you should care it?
Ans :- CPU utilization
Memory utilization
Memory breakup
Processor queue length
Disk usage with capacity plan
Recent events
Top process by CPU and memory
Application details
Down/trouble history
Question 8. Top 5 Metrices of Apache which you should not miss it?
Analyze Processing Time to Catch Poor Performance
Monitor Bytes to See Server Limitations
Track Uptime for Insight into Outages
Measure Load for a Useful Overview
Use Memory Metrics to Distribute Resources
Measure Efficiency With Multi-Processing Modules
Add Resources If CPU Utilization Is High
Measure Bandwidth to Understand Latency
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