Describe at least three use cases for using something like Datadog. Can be as specific as you would like
- Monitor instances/servers downtime
- Detect anomalies and send an alert when it happens
- Service request or response latency
What ways are there to collect or send data to Datadog?
- Datadog agent installed on the device or location which you would like to monitor
- Using Datadog API
- Built-in integrations
What is a host in regards to Datadog?
Any physical or virtual instance that is monitored with Datadog. Few examples:
- Cloud Instance, Virtual Machine
- Bare metal node
- Platform or service specific nodes like Kubernetes node
Basically any device or location that has Datadog agent installed and running on.
What is a Datadog agent?
A software runs on a Datadog host. Its purpose is to collect data from the host and sent it to Datadog (data like metrics, logs, etc.)
What are Datadog tags?
Datadog tags are used to mark different information with unique properties. For example, you might want to tag some data with "environment: production" while tagging information from staging or dev environment with "environment: staging".
What are the component of a Datadog agent?
- Collector: its role is to collect data from the host on which it's installed. The default period of time as of today is every 15 seconds.
- Forwarder: responsible for sending the data to Datadog over HTTPS
What can you tell about Datadog integrations?
- Datadog has many supported integrations with different services, platforms, etc.
- Each integration includes information on how to apply it, how to use it and what configuration options it supports
What opening some of the integrations windows/pages, there is a ection called "Monitors". What can be found there?
Usually you can find there some anomaly types that Datadog suggests to monitor and track.