Debug School

Kapil Chugh
Kapil Chugh

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Datadog Assignment - Day -1

Ans 1 :- 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.

  1. We can Integrate AWS, GCP for the data and also using API

  2. 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

4
`1. Check Datadog Agent Process is running or not

  1. Check Datadog Agent Logs for Error
  2. Check Datadog Agent Configuration file(datadog.yaml) syntax Error
  3. Check Datadog Integration Configuration file(datadog.yaml) syntax Error
  4. Check Datadog Agent API Key in datadog.yaml
  5. Check ENV variable set for Datadog Agent conflict with datadog.yaml
  6. Print the runtime configuration of a running agent
  7. Print all configurations loaded & resolved of a running agent
  8. Execute some connectivity diagnosis on your system
  9. Print the current agent health`

5.

  1. `CPU Usage
  2. System Load
  3. Memory utilization and processes
  4. Disk utilization
  5. Inode usage
  6. Cron jobs

6.
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.`

  1. 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

  2. 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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