Log management and analytics

Log management and analytics powered by Grail

Get answers from your logs at any scale with no indexes, no rehydration, and no sampling, unified with traces, metrics, and security data in one platform.

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Logs that answer questions instead of creating more work

Traditional log management forces tradeoffs between cost, speed, and fidelity. Dynatrace stores and queries petabytes of log data with instant access, automatic context from traces and metrics, and AI that surfaces answers without manual correlation.

Faster troubleshooting

Logs, traces, and metrics automatically correlated so teams resolve issues without switching tools or writing queries.
Lower cost and complexity

Ingest and retain data at scale with built-in cost controls, no index management, and flexible retention from days to years.
Security and compliance

Retain security events with instant access and use unified signals for threat detection and incident response.

Actionable insights across every critical use case

Unified observability

Resolve issues faster with logs in full context

Manual log correlation across tools slows every investigation. Dynatrace automatically correlates logs, traces, metrics, and events and performs AI-powered root-cause analysis so teams get answers without the toil.

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Kubernetes observability

Full-stack log visibility across Kubernetes

Kubernetes generates enormous log volume across namespaces, pods, and containers. Dynatrace simplifies collection and analysis with filtering by any dimension and AI-assisted diagnostics so teams diagnose cluster health fast.

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Security investigations

Unify logs and observability for security response

Security investigations stall when log data is siloed from the rest of your telemetry. Dynatrace brings logs, traces, and events together so teams can detect threats and respond faster without switching tools.