Graylog
Open-source log management for collecting, indexing, and analyzing machine data in real time.
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Use it free
Open the official tool or demo — no account needed.
Self-host it
Run the open-source version on your own infrastructure.
What is Graylog?
Graylog is an open-source log management and Security Information and Event Management (SIEM) platform designed to centralize, analyze, and monitor machine-generated data across diverse systems. Its primary purpose is to provide organizations with real-time insights into their infrastructure by aggregating logs, detecting threats, and enabling actionable analytics. Security teams, IT operations, and compliance officers use Graylog to address challenges such as fragmented log data, delayed threat detection, and the need for centralized monitoring. By streamlining log collection, processing, and visualization, Graylog helps users mitigate risks, troubleshoot issues, and meet regulatory requirements. The tool is particularly valuable for environments requiring high availability, scalability, and integration with existing infrastructure, such as cloud platforms or hybrid networks. With over 7,200 GitHub stars, Graylog has established itself as a widely adopted solution for enterprises and open-source communities seeking log analytics capabilities.
How it works
Graylog is a centralized log management system that ingests, stores, and analyzes machine data from various sources such as servers, applications, and network devices. It enables users to monitor system health, detect anomalies, and respond to security incidents in real time. The platform is built on the SSPL license, allowing organizations to self-host or contribute to its development. Its core purpose is to simplify log analysis by eliminating the need for multiple tools, reducing manual workflows, and providing a unified interface for querying and visualizing data. Graylog is ideal for environments where rapid incident response and compliance are critical, such as financial institutions, healthcare providers, and cybersecurity teams. Graylog excels in data aggregation, allowing it to collect logs from diverse sources like syslog, HTTP, and TCP. It supports real-time threat detection through customizable alerts and correlation rules, enabling proactive security measures. The platform integrates with Elasticsearch and OpenSearch for scalable storage, ensuring efficient querying of large datasets. Its web-based interface offers dashboards for visualizing metrics and logs, while plugins extend functionality for tasks like SIEM workflows or database monitoring.
How to use it
- 1Install Graylog server and Elasticsearch/OpenSearch for storage. 2. Configure input sources (e.g., syslog, HTTP, or file logs) via the web interface. 3. Set up output pipelines to route data to storage or external systems. 4. Create dashboards and alerts using the built-in visualization tools. Practical tips include leveraging plugins for advanced analytics and ensuring proper indexing strategies for large datasets.
What it can do
- log management
Use cases
Assumptions and limitations
Assumptions
- source: https://github.com/Graylog2/graylog2-server
- license: SSPL — free to use
- privacy: Self-hosted — you control your data
Limitations
- For authorized use only — use on systems you own or have explicit permission to test.
- Limited out-of-the-box SIEM features compared to commercial alternatives
- Requires expertise to configure advanced analytics and storage optimizations
- Dependence on Elasticsearch/OpenSearch for scalability may increase complexity
- Learning curve for mastering query syntax and dashboard creation
Understanding the result
Open-source log management for collecting, indexing, and analyzing machine data in real time.
Tool details
- Clearly flagged when a network request is needed.
- No account, no sign-up, and no tracking of your content.
- Powered by (MIT).
- Built with
- (Graylog2/graylog2-server)
- License
- MIT
- Runs locally
- No — requires a network request
- Verification
- Not yet verified
- Input
- Query
- Output
- Text
Built with Graylog2/graylog2-server. OpenToolVault provides the discovery and browser interface while crediting the original project maintainers.
- Built with
- License
- MIT
Open-source project
OpenToolVault is an independent directory. We are not affiliated with or endorsed by this project.
References
- / — GitHub Repository
Upstream project · GitHub
- SSPL License
Upstream project
Frequently asked
What is Graylog used for?
Graylog is used for centralized log management, real-time threat detection, and security analytics. It helps organizations monitor infrastructure, troubleshoot issues, and comply with regulations by aggregating logs from diverse sources and providing actionable insights through dashboards and alerts.
How does Graylog process and store log data?
Graylog ingests logs via inputs (e.g., syslog, HTTP), processes them using pipelines for filtering and enrichment, and stores structured data in Elasticsearch or OpenSearch. This architecture enables fast querying and scalability, with optional integration to external systems for long-term retention.
How do I set up a basic Graylog system for log analysis?
Install Graylog server and Elasticsearch/OpenSearch, configure input sources via the web interface, create a pipeline to parse logs, and set up a dashboard. For example, use the 'syslog' input type to collect logs, define a pipeline to extract fields, and build a dashboard to visualize server uptime metrics.
How does Graylog compare to Splunk or ELK Stack?
Graylog combines the log collection capabilities of the ELK Stack with built-in SIEM features similar to Splunk. Unlike Splunk, it uses SSPL licensing and requires Elasticsearch for storage. Compared to ELK Stack, Graylog offers a unified interface for analytics and alerts, though it lacks Splunk's advanced machine learning features.
What should I do if Graylog fails to connect to Elasticsearch?
Verify Elasticsearch is running and accessible via the correct network settings. Check firewall rules to ensure port 9200 (or 19600 for OpenSearch) is open. Confirm the Elasticsearch cluster name matches the configuration in Graylog's storage settings. Restart both services if connectivity issues persist.