Seamless Observability Meets Intelligent Automation

Datadog Integration for Perviewsis

Supercharge your observability strategy by connecting Datadog with Perviewsis. With this integration, bring real-time metrics, logs, and traces from Datadog into the Perviewsis platform to drive predictive insights, automate issue detection, and cut through operational noise. 

Why Integrate Datadog with Perviewsis?

Real-Time Signal Ingestion

Ingest metrics, events, and logs from Datadog directly into Perviewsis workflows with minimal setup.

Smarter Noise Reduction

Reduce alert fatigue by using Perviewsis’ machine learning models to filter, group, and prioritize signals from Datadog.

Predictive Automation

Trigger automated responses to anomalies before they escalate—based on historical trends and causal analysis.

Root Cause Analysis

Enrich Datadog incidents with contextual insights from Perviewsis for faster troubleshooting and resolution.

Unified Observability

Correlate data from Datadog with other sources in Perviewsis for a full-stack, cross-system view of system health.

Key Capabilities

Metric & Log Sync

Automatically stream Datadog metrics and logs into Perviewsis pipelines.

Custom Event Mapping

Tag and transform Datadog events to fit your operational taxonomies in Perviewsis.

AI-Powered Alert Grouping

AI-Powered Alert Grouping
Group related alerts using time-series clustering and causal inference.

Enhanced Collaboration

Use Perviewsis automation rules to trigger scripts, workflows, or ticketing actions based on Datadog conditions.

How It Works

Connect Datadog:
Use your Datadog API key to securely link your environment.

Map Your Data:
Select which metrics, logs, and events to sync.

Build Workflows:
Set rules in Perviewsis to automate or escalate based on incoming Datadog data.

Optimize Continuously:
Use insights from Perviewsis’ feedback loop to fine-tune alert rules in Datadog.

Use Cases

DevOps:
Automatically respond to infrastructure anomalies before they impact users.

SRE:
Correlate service degradation across layers with end-to-end visibility.

IT Ops:
Filter out noisy alerts and surface high-impact incidents.

Security Teams:
Flag abnormal activity patterns detected by Datadog logs.

Unify Observability and Intelligent Operations

Datadog provides deep observability into your systems. Perviewsis turns that data into action. By integrating Datadog with Perviewsis, your teams gain not only visibility, but clarity—enabling intelligent automation, predictive alerts, and streamlined incident response powered by data science.

What This Integration Enables

When Datadog is connected to Perviewsis, your telemetry data becomes the fuel for advanced analytics and operational workflows:

  • Ingest metrics, logs, traces, and events from Datadog in real time
  • Enrich these signals with context from other platforms (e.g., Git, CI/CD, ticketing tools)
  • Detect anomalies and predict incidents before they cause impact
  • Correlate alerts and events across systems to reduce noise and false positives
  • Trigger automated workflows including escalations, remediations, and report generation

How It Works

Step 1: Connect Datadog

Securely authenticate using your Datadog API and app keys. Perviewsis uses a one-time token exchange and supports OAuth 2.0 for enterprise-grade security.

Step 2: Select Data Sources

Choose which data to sync from Datadog:

  • Infrastructure metrics (e.g., CPU, memory, I/O)
  • Application performance data 
  • Custom business metrics
  • Log events from any service or host
  • Monitors and alert conditions

Step 3: Configure Mapping

Map incoming signals to Perviewsis’ internal data model:

  • Define signal types (Error, Warning, Info, Actionable)
  • Tag by source (host, service, environment, region)
  • Add dimensions for causal analysis (user behavior, deployments, config changes)

Step 4: Automate and Analyze

Use Perviewsis’ low-code workflow builder and ML models to:

  • Prioritize incidents based on likely user impact
  • Cluster related alerts from Datadog and other sources
  • Identify causal chains between events and infrastructure changes
  • Trigger remediation tasks (e.g., scaling services, restarting pods, notifying teams)

Key Features ​

AI-Powered Alert Deduplication

Avoid alert storms by intelligently collapsing similar alerts using time windowing, dependency graphs, and historical patterns.

Multi-Source Correlation

Combine Datadog signals with deployment data, user reports, and business KPIs to create complete incident narratives.

Automated Root Cause Analysis

Perviewsis uses graph-based reasoning and time-series anomaly detection to suggest root causes from Datadog metrics and logs.

Predictive Insights

Perviewsis uses graph-based reasoning and time-series anomaly detection to suggest root causes from Datadog metrics and logs.

Custom Actions

Trigger automation scripts, update tickets in systems like Jira/ServiceNow, or notify teams in Slack based on detected Datadog events.

Use Cases by Role

DevOps & SREs

  • Get early warning signs before outages hit
  • Automate on-call workflows for common issues
  • Reduce MTTD/MTTR with fewer false positives

IT Operations

  • Prioritize events based on business impact
  • Unify alert management across tools
  • Visualize service health with fewer dashboards

Platform Engineering

  • Feed Datadog performance telemetry into Perviewsis’ platform health scores
  • Automatically correlate spikes in usage with deployment events

Security Teams

  • Monitor logs and metrics for security-related anomalies (e.g., excessive requests, sudden access pattern changes)
  • Trigger response playbooks automatically

DevOps & SREs

  • Secure APIs with encrypted data transit and access controls
  • Audit Trails of all actions triggered via Datadog signals
  • GDPR & SOC 2 Compliant data handling
  • Role-based access control for integration configuration

Technical Requirements

  • Datadog API Key and App Key
  • Datadog monitors, metrics, or logs enabled
  • Perviewsis account with integration permissions
  • Optional: webhook endpoint for two-way automation

Resources

  • [Datadog Integration Setup Guide →]
  • [Perviewsis Workflow Automation Docs →]
  • [Sample Use Cases and Templates →]
  • [Security & Compliance Overview →]

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