Datadog Investor Day Presentation Deck
Unified tagging
Apps (click to see metrics)
DATADOG
aws chef consul
goshe kafka ntp
system
Why use tags?
Agent
Datadog Agent: v5.7.1
System
GNU/Linux - 2 CPU - 4 VCPU- 10.230.198.93 14.69GB - 93.56GB >
Metrics (as of 2 mins ago)
% CPU utilized 36%
- More intuitive
- Flexible and scales with hosts or containers
Simplified searching and filtering
Aggregate metrics on the fly
Tags
Chef
#env:prod #kafka_cluster:cold #role:common-node #role:encrypted-storage
#role:hauk-evaluator #role:monitoring-client
AWS
#account:prod #availability-zone:us-east-la #creator:caleb_datadoghq.com
#image:ami-d7d165bc #instance-type:m3.xlarge #kernel:none
#name:hauk-evaluator #region:us-east-1 #security-group-name prod-backend
#security-group:sg-le51ef77
User
Edit Tags
Tags
automatically
added
Why it matters:
Tagging binds different data types in
Datadog, allowing for correlation and
calls-to-action among metrics, traces, and
logs
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