Config
True or false: the Datadog Agent is open source.
True
What is the email alias to open a support ticket?
Support@datadoghq.com
This new Datadog feature uses AI to analyze latency and traces inside the Bits assistant, taking you from a performance spike to root cause in one click.
APM & Bits Assistant
Wiz, Lacework, and Orca are examples of these types of point-solutions
CSPM
A prospect from (OKALOOSA COUNTY SHERIFF'S OFFICE) says: 'I went to Datadog because I was looking for network monitoring mapping solutions. I could see all the integrations and was like, wow, this is a lot.' What do you demo first?
Network Performance Monitoring (NPM) OR Network Device Monitoring
What environment variable enables APM tracing on a containerized Datadog Agent?
DD_APM_ENABLED=true
In Datadog tracing, this is the unit that represents a single operation within a service, such as a database query or HTTP call.
Span
This new Datadog capability is an AI agent that reasons across data, apps, code, infrastructure, and spend designed as an antidote to uncontrolled MCP-to-warehouse setups.
Data Agent
New Relic's NRQL Predictions feature does forecasts infrastructure resource saturation and errors, similar to this Datadog Feature
Watchdog
A prospect from (CANDOR TECHNOLOGY) says: 'Historically teams had a harder time getting visibility into previously ingested data there wasn't really a strong log index on it.' What Datadog log feature addresses long-term searchability?
Archive Search / Flex Logs / Log Indexes
This Datadog log processing feature lets you prevent sensitive fields like passwords from being stored in logs.
Sensitive Data Scanner (SDS) / Log scrubbing
This Datadog feature lets you define and track reliability targets for your services, like 99.9% uptime.
SLOs (Service Level Objectives)
This new Datadog security feature automates the end-to-end threat hunting workflow generating hypotheses, analyzing activity, and delivering validated findings.
Bits Threat Hunting
This trend, combining development, security, and operations into one unified workflow, is driving demand for platforms like Datadog.
DevSecOps
A prospect from (BIGBEAR) says: 'Not until it gets into production do we really know. Then we've got to drill down and go through logs to figure out if it was user error or something with the code.' What Datadog products close this gap?
Continuous Profiler
This Datadog tagging approach makes it easy to pivot across all products and correlate signals during incidents.
Unified Service Tagging
This Datadog capability automatically correlates metric anomalies with recent code deploys to speed up root cause analysis.
Watchdog Insights
This new Datadog log feature uses AI to automatically process logs not covered by existing pipelines, ensuring all logs arrive structured and useful.
Auto-Processing Log Pipelines
When pitching against New Relic, this is a key pricing differentiator Datadog prices per host/usage while New Relic charges this way.
Per seat / Full stack user licensing
A prospect from (MERCALIS) says: 'The containerization and microservices are definitely going to be heavy for them. ' What products do you bring in?
APM
In the Datadog Agent, this setting controls how often a check gathers metrics, and can be overridden per integration.
min_collection_interval
This is the port number for traces coming from the Datadog Agent
8126
This new Datadog security capability uses real-time first-party observability data to prioritize which security risks actually matter promising 90%+ noise reduction.
Runtime Prioritization Engine
What does TCO stand for, and why is it a powerful anchor in Datadog value conversations?
Total Cost of Ownership shows consolidating on Datadog reduces total spend vs. managing multiple point tools
A prospect says "I am going through a SOC2 audit right now and need to work on getting ready. There is a lot of reports I need to build and need help with that" What Datadog product helps
Cloud Security