Datadog + Improvado: Infrastructure Monitoring Centralized

Connect Datadog and let AI agents query infrastructure metrics, application performance, and system alerts alongside marketing data from 1,000+ sources.

SOC 2 Type II 1,000+ data sources Any warehouse or BI tool

Improvado Agent

Connected to Datadog

Show me infrastructure health across our production clusters for the last 24 hours.

Your production environment shows 3 clusters with 247 active hosts. Average CPU utilization is 68%, memory at 72%. Two anomalies detected: API gateway latency spiked to 890ms at 14:32 UTC, and database connection pool hit 94% capacity at 18:15 UTC.

Set up an alert if database connections exceed 85% for more than 5 minutes.

Alert configured. Monitoring db-prod-primary connection pool. Notification channels: PagerDuty incident, Slack #infrastructure-alerts. Current status: 78% capacity, threshold 85%, evaluation window 5 minutes.

Trusted by data-driven teams

1,000+

Integrations

200+

Datadog Fields

99.9%

SLA Uptime

<5 min

Setup

SOC 2

Type II

Key Takeaways

Connect Datadog monitoring to analytics

Improvado connects to Datadog's API to extract infrastructure metrics, application performance data, and system monitoring alerts. Data refreshes automatically every 15 minutes, keeping your operational analytics current with real-time system performance. The integration captures server metrics, response times, and error rates without manual dashboard exports. Setup takes less than 10 minutes with pre-built monitoring data configurations.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the Datadog API

15-minute refresh cycles Near real-time sync with 99.9% SLA uptime. No stale dashboards.

Cross-channel normalization Marketing CDM unifies your data with 1,000+ sources into one schema. No manual mapping.

Any warehouse or BI tool Snowflake, BigQuery, Redshift, Databricks, Power BI, Tableau, Looker Studio

AI Agent access via MCP Query, write, and monitor Datadog through Claude, ChatGPT, Cursor, or any MCP client

Enterprise-grade security SOC 2 Type II, HIPAA, GDPR, CCPA. Raw data never leaves your environment.

OAuth setup in under 5 minutes No API keys, no code, no developer setup. Schema changes handled automatically.

Zero ongoing maintenance Pagination, rate limits, API versioning — all managed. Your team focuses on analysis.

Integration Details

Unified operational and business metrics

Improvado's Marketing Common Data Model normalizes Datadog infrastructure data with business metrics from marketing platforms, sales systems, and customer data. This standardization enables correlation analysis between system performance and business outcomes. Identify how application downtime affects conversion rates and optimize infrastructure investments based on revenue impact.

Datadog API v2 · API key · 15-min sync · incremental

Schema Overview

Data objects and fields Improvado extracts from Datadog

Object	Fields
Metric	name value timestamp tags host
Log	message status service timestamp source
Monitor	name type status query thresholds
Event	title text priority tags timestamp
Incident	title severity status created resolved

How it works

From connection to autonomous action in three steps

Connect

Connect Datadog using your API key and application key from your account settings. Agent automatically discovers your infrastructure topology, APM traces, logs, and custom metrics across all monitored hosts and services.

Ask

Ask questions like 'Which services have the highest error rates this week?' or 'Show me memory usage trends for our Kubernetes pods' or 'What caused the latency spike at 3pm yesterday?'

Act

Agent creates monitors with custom thresholds, configures alert routing to PagerDuty or Slack, adjusts anomaly detection sensitivity, creates dashboards for specific service groups, and modifies metric retention policies based on your infrastructure priorities.

Use Cases

What teams ask their AI agent about Datadog

Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.

See how teams use Improvado →

Improvado Agent Analysis

Correlate system performance with business KPIs and revenue impact analysis

Your AI agent analyzes Datadog data and delivers actionable insights — automatically, in seconds.

6 hrs → 15 min

Improvado Agent Cross-channel

Track application performance trends and optimize infrastructure resource allocation

Your AI agent analyzes Datadog data and delivers actionable insights — automatically, in seconds.

4 hrs → auto

Improvado Agent Reporting

Generate executive reports on system reliability and operational efficiency metrics

Your AI agent analyzes Datadog data and delivers actionable insights — automatically, in seconds.

5 hrs → 20 min

AI Agent Access

Your agent doesn't just read Datadog — it correlates uptime with revenue.

Read

Agent reads infrastructure metrics (CPU, memory, disk, network), APM traces and service performance data, log streams and error patterns, custom metrics and business KPIs, monitor states and alert history, host and container metadata, and service dependency maps across your entire observability stack.

Write

Agent creates and modifies monitors with custom thresholds and evaluation windows, configures notification channels and escalation policies, adjusts anomaly detection algorithms and sensitivity levels, creates and updates dashboards with specific metric visualizations, sets up synthetic tests for endpoint monitoring, and manages metric downsampling and retention rules.

Monitor

Agent monitors threshold breaches across infrastructure and application metrics, tracks anomaly detection triggers and pattern deviations, watches service health scores and SLA compliance, detects error rate spikes and latency degradation, observes resource saturation trends approaching capacity limits, and alerts on host availability changes and deployment impacts.

AI agents query server metrics, application performance data, and monitoring alerts directly from Datadog. They can correlate system downtime with revenue drops, analyze infrastructure costs against business KPIs, and answer questions like "Did last week's server latency spike affect conversion rates?" All without switching between monitoring and analytics tools.

Claude ChatGPT Cursor Gemini Any MCP Client

Explore MCP →

Improvado Agent · Datadog

You

What's the performance breakdown of our API endpoints over the past week?

API Performance

Endpoint	Avg Latency	Error Rate
/api/v2/orders	124ms	0.3%
/api/v2/inventory/search	287ms	1.2%
/api/v2/checkout	456ms	2.8%
/api/v2/user/profile	89ms	0.1%
/api/v2/shipping/calculate	203ms	0.7%

5 endpoints · 18.4M requests · avg 232ms latency

You

Create a monitor for checkout endpoint if error rate goes above 2%

Monitor Created

/api/v2/checkout · Current: 2.8% error rate

Destinations

Send Datadog data anywhere

Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.

Snowflake → BigQuery → Redshift → Databricks → Power BI → Tableau → Looker Studio → Google Sheets → Domo → Excel → Qlik → Amazon S3 → Metabase → Grafana → PostgreSQL → Azure SQL →

SOC 2 Type II: Certified Security

HIPAA: Health Data Privacy

GDPR: EU Data Protection

CCPA: CA Privacy Standard

Compare

They extract data. Improvado deploys an agent.

Traditional tools move data from A to B. Improvado gives you an AI agent that reads, acts, and monitors — with Datadog as one of 1,000+ integrated sources.

Feature	Improvado	Supermetrics	Funnel.io	Fivetran
Data fields extracted	200+	~90	~120	~80
Total integrations	1,000+	~150	~500	~300
Cross-channel normalization (CDM)	✓ Built-in	✗ Manual	Basic mapping	✗ Raw only
AI Agent access (MCP)	✓ Read, Write, Monitor	✗	✗	✗
Data warehouse destinations	✓ 16+ warehouses & BI tools	Sheets, Looker, BigQuery	BigQuery, Snowflake, Redshift	✓ Broad warehouse support
Refresh frequency	Every 15 min	Scheduled triggers	Daily / 6hr	Every 15 min (premium)
SOC 2 Type II & HIPAA	✓	✗ SOC 2 only	✓ SOC 2	✓
Best for	Teams that want an AI agent, not a pipeline	Small teams, spreadsheets	Mid-market, data teams	Engineering-led ELT pipelines

Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.

FAQ

Frequently asked questions

What Datadog metrics can Improvado extract?

Improvado extracts infrastructure metrics, application performance data, system alerts, and custom metrics from Datadog. The platform also captures log data, service dependencies, and monitoring dashboard configurations.

How often does Datadog data sync with Improvado?

Monitoring data syncs automatically every 15 minutes by default. You can adjust refresh frequency from 5 minutes to hourly based on your operational monitoring needs.

Can I combine Datadog with business intelligence data?

Yes, Improvado normalizes Datadog operational data with marketing, sales, and customer platforms. This enables correlation analysis between system performance and business metrics.

Does Datadog integration require API key setup?

You need Datadog API and application keys for authentication. Improvado provides step-by-step instructions for generating and configuring the necessary credentials.

Which data warehouses support Datadog integration?

Datadog data flows into BigQuery, Snowflake, Redshift, and Azure. You can also connect to Tableau, Power BI, and Looker for operational dashboard creation.

How quickly can I start analyzing Datadog data?

Setup takes 5-10 minutes and data begins flowing immediately. Improvado provides pre-built infrastructure monitoring dashboard templates for instant operational insights.

Customer stories

See all customer stories →

“Improvado saves about 90 hours per week and allows us to focus on data analysis rather than routine data aggregation, normalization, and formatting.”

Jeff LeeHead of Social, Media Buy, Influencer & Marketing Data, ASUS

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“Improvado's reporting tool effortlessly integrates all our marketing data so we can easily track users across their entire digital journey. This saves me and my team countless hours.”

Marc CerniglioInsights & Automation Manager, Chacka Marketing

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