- Observability: other versions:
- What is Elastic Observability?
- What’s new in 8.11
- Get started
- Observability AI Assistant
- Application performance monitoring (APM)
- Logs
- Infrastructure monitoring
- AWS monitoring
- Synthetic monitoring
- Get started
- Scripting browser monitors
- Configure lightweight monitors
- Manage monitors
- Work with params and secrets
- Analyze monitor data
- Monitor resources on private networks
- Use the CLI
- Configure projects
- Configure Synthetics settings
- Grant users access to secured resources
- Manage data retention
- Use Synthetics with traffic filters
- Migrate from the Elastic Synthetics integration
- Scale and architect a deployment
- Synthetics support matrix
- Synthetics Encryption and Security
- Troubleshooting
- Uptime monitoring
- Real user monitoring
- Universal Profiling
- Alerting
- Service-level objectives (SLOs) (beta)
- Cases
- CI/CD observability
- Troubleshooting
- Fields reference
- Tutorials
- Monitor Amazon Web Services (AWS) with Elastic Agent
- Monitor Amazon Web Services (AWS) with Beats
- Monitor Google Cloud Platform
- Monitor a Java application
- Monitor Kubernetes
- Monitor Microsoft Azure with Elastic Agent
- Monitor Microsoft Azure with the Azure Native ISV Service
- Monitor Microsoft Azure with Beats
IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Logs overview
editLogs overview
editElastic Observability allows you to deploy and manage logs at a petabyte scale, giving you insights into your logs in minutes. You can also search across your logs in one place, troubleshoot in real-time, and detect patterns and outliers with categorization and anomaly detection. For more information, refer to the following links:
- Logs resource guide – See an overview on sending log data, configuring logs, and analyzing logs.
- Stream any log file – Send log files to Elasticsearch using a standalone Elastic Agent.
- Parse and organize logs – Parse your log data and extract structured fields then use those structured fields to filter and analyze your logs.
- Filter logs – Filter and aggregate your log data to find specific information, gain insight, and monitor your systems more efficiently.
- Log monitoring – Find information on visualizing and analyzing logs in Kibana.
- Troubleshoot logs – Find solutions for errors you might encounter while onboarding your logs.
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