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    monitoring

    Datadog Integration

    APM and pipeline monitoring for Mixpeek workloads

    Monitor your Mixpeek processing pipelines with Datadog's observability platform. The integration sends metrics, traces, and logs from Mixpeek operations to Datadog, providing full visibility into ingestion throughput, enrichment latency, error rates, and API usage across all your namespaces.

    datadog
    monitoring
    APM
    observability
    metrics
    tracing
    Quick Install:
    npm install @mixpeek/datadog

    Use Cases

    1

    End-to-end pipeline observability

    2

    SLA monitoring for enrichment latency

    3

    Cost tracking and API usage analytics

    4

    Anomaly detection in processing throughput

    Features

    Custom metrics for pipeline throughput and latency
    Distributed tracing across Mixpeek API calls
    Log forwarding with structured context
    Pre-built dashboard templates for Mixpeek monitoring
    Alert definitions for error rate and latency thresholds
    Tagging by namespace, collection, and operation type

    Get Started

    Integrations

    Datadog
    Datadog APM
    Datadog Logs
    Datadog Monitors

    Details

    LicenseApache 2.0
    Categorymonitoring
    Registrynpm

    Resources

    Documentation

    Learn how to use this connector

    Quick Info

    LicenseApache 2.0
    Categorymonitoring
    Registrynpm

    Frequently Asked Questions

    What metrics does the Datadog Integration track?

    The integration tracks key pipeline metrics including: documents processed per second, enrichment latency (p50, p95, p99), error rates by operation type, API call counts and response times, batch processing duration, and queue depth. All metrics are tagged by namespace, collection, and content type.

    Does it support distributed tracing?

    Yes. The integration injects Datadog trace headers into Mixpeek API calls, creating end-to-end traces from your application through the Mixpeek processing pipeline. This lets you see exactly where time is spent in each enrichment step.

    Are there pre-built dashboards?

    The integration ships with a pre-built Datadog dashboard that visualizes pipeline health, throughput trends, latency distributions, error breakdowns, and namespace-level usage. You can customize it or use it as a starting point for your own dashboards.

    How do I set up alerts?

    The integration includes recommended monitor definitions for common alerts: high error rates, latency spikes, processing queue backlog, and API quota warnings. Import them via the Datadog API or Terraform provider.

    Does it add overhead to my Mixpeek calls?

    The overhead is minimal. Metrics are collected asynchronously and batched before sending to Datadog. Trace context propagation adds less than 1ms per request. Log forwarding is non-blocking and uses Datadog's agent-based collection.

    Related connectors

    Grafana Dashboard ConnectorPipeline metrics visualization for Mixpeek workflowsPrometheus ExporterMetrics collection endpoint for Mixpeek pipelinesSentry Error TrackingError monitoring and diagnostics for Mixpeek pipelinesPagerDuty Alerts ConnectorIncident management integration for pipeline failures

    Ready to integrate?

    Get started with Datadog Integration in minutes. Check out the documentation or explore the source code on GitHub.