Log Management
by Datadog · Data and analytics · New York, United States
Collects, searches and analyses log data for troubleshooting across services and platforms.
Log Management automatically collects logs from services, applications and platforms, allowing teams to search, filter and analyse log data for troubleshooting and exploration. It navigates between logs, metrics and traces, applies automated tagging and correlation, and supports visualization and alerting on log data. It is delivered as SaaS and used by engineering and operations teams investigating incidents and performance issues.
What Log Management does
- Automatic log collection
- Log, metric and trace correlation
- Automated tagging
- Log visualization
- Alerting on log data
- Sensitive data scanning
- Bring Your Own Cloud log storage
What Log Management is used for
- log analysis and correlation
About Datadog
Integrated cloud monitoring, security and observability platform for infrastructure and applications.
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Also by Datadog
- Infrastructure Monitoring: Monitors servers, containers and cloud infrastructure in real time for operations teams.
- Application Performance Monitoring: Traces and monitors application performance end to end for engineering teams.
- Code Security: Scans code and infrastructure configurations to find and fix security risks before production.
- Cloud Security: Cloud security posture management with sensitive data scanning, entitlement management, vulnerability management and compliance.
- Digital Experience: Monitors end-to-end user experience across web and mobile applications.
- Incident Management: Streamlined incident response with incident management, work management, service level objectives and workflow automation.
More in this category: Data and analytics platforms for financial services.
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