Logskit
Logskit is an open-source log analysis platform that allows you to aggregate, search, analyze, monitor, alert, and visualize log data from multiple sources. It is designed to handle large volumes of log data for IT operations, security, and development teams.
log-analysis
monitoring
visualization
open-source
Logskit: Open-Source Log Analysis Platform
Logskit aggregates, searches, analyzes, monitors, alerts, and visualizes log data from multiple sources, helping IT operations, security, and development teams manage large volumes of log data.
What is Logskit?
Logskit is an open-source log analysis and visualization platform optimized for high-volume log data. It provides real-time analytics and insights into your systems and applications to improve monitoring, troubleshooting, security, and more.
Key features of Logskit include:
- Collect and aggregate log data from multiple sources like files, databases, cloud services, APIs, etc.
- Powerful search and filtering capabilities to slice and dice log data
- Pre-built and customizable dashboards for visual analysis of trends, statistics, top events, etc.
- Alerting based on log patterns to notify teams of issues proactively
- Application performance monitoring by analyzing access logs and response times
- Security analytics and threat detection capabilities
- Scalable architecture using Elasticsearch to handle terabytes of log data
- Integration with popular SIEM, monitoring, ITSM, and collaboration tools
- REST API and webhook integrations
- Role-based access control for managing user permissions
With its rich feature set and easy learning curve, Logskit is trusted by developers, engineers, analysts, and leaders across various industries to make the most of their machine-generated log data every day.
Logskit Features
Features
- Real-time log collection and processing
- Support for wide range of log formats and sources
- Powerful search and filtering
- Customizable dashboards and visualizations
- Alerting and anomaly detection
- Collaboration features like sharing and annotations
Pricing
- Open Source
Pros
Open source and free
Scalable to handle large volumes of log data
Easy to deploy and get started
Integrates well with existing toolchain
Active community support
Cons
Steep learning curve
Limited native data storage options
Not as feature rich as commercial alternatives
Official Links
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