Datadog/Log Management
Datadog

Log Management

Ingest, search, and analyze logs from every source at petabyte scale — correlated with your infrastructure metrics and distributed traces in a single unified view. No more toggling between five tools to debug one incident.

At a glance

Ingestion sourcesAgents, Fluentd, Logstash, cloud services
RetentionConfigurable hot/cold tiers
ArchivingS3, Azure Blob, GCS
ComplianceHIPAA, PCI, FedRAMP-aligned
Search latencySub-second across billions of events

Capabilities

What Log Management delivers

Live Tail & Search

Search across billions of log events in seconds with a query language designed for ops — not SQL. Live tail any log stream in real time.

Log-to-Trace Correlation

Automatically correlate logs to the trace that generated them. Jump from a slow request trace directly to the relevant application logs.

Log Analytics & Dashboards

Aggregate, facet, and visualize log data. Build dashboards that surface trends in error rates, latency, and business events from your logs.

Compliance Archiving

Archive logs to S3, Azure Blob, or GCS for long-term retention and compliance. Rehydrate historical data into Datadog for investigation.

Why Turtini

Logs as part of the full stack

When Turtini deploys Datadog, we configure the agent to forward logs from RHEL systemd units, application containers, and audit logs in a single pass. Log pipelines, parsing rules, and retention policies are defined as code — versioned, reviewed, and reproducible across every environment you operate.

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