Log Management
Log centralization, analysis, and alerting
Log Management centralizes logs from the entire infrastructure, processing millions of events per second with full-text search and real-time analysis. The system automatically parses more than 200 log formats, enriching them with context from metrics and traces. Flexible archiving options allow logs to be stored in S3, Azure Blob, or GCS with the ability to rehydrate them for analysis.
Enterprise-grade protection compliant with regulatory requirements and security standards
Fast deployment with minimal resource overhead
Dedicated support from a certified partner
Easy integration with your existing infrastructure
Key features
- Processing of millions of events per second with latency below 10 seconds
- More than 200 predefined parsing pipelines with automatic format detection
- Log-trace correlation automatically linking logs with distributed traces
- Flexible log archives to S3, Azure Blob, and GCS with rehydration capability
- Log patterns and anomaly detection for automatic issue identification
Business benefits
- A central source of truth for all logs across the organization
- 70% reduction in issue resolution time thanks to correlation with metrics and traces
- Cost optimization through intelligent log sampling and archiving
- Faster investigations thanks to integrated search across logs, metrics, and traces
- Compliance with retention requirements at controlled storage costs
Why DataDog?
A leading unified observability platform that combines infrastructure monitoring, APM, logs, security, and more in one place. Datadog provides full visibility into cloud-native environments, Kubernetes, and distributed applications, enabling rapid detection and resolution of issues.
Need Log Management in your organization?
As a certified DataDog partner, we'll help you deploy and configure the solution.