OpenWit: Versatile Observability for Diverse Needs
OpenWit's powerful features and flexible architecture make it suitable for a wide array of use cases where speed, scalability, and deep data insights are paramount. Discover how OpenWit can be applied to solve your specific observability challenges.
Comprehensive Log Management & Analysis
OpenWit enables organizations to centralize, search, and analyze vast quantities of logs from diverse sources. Its high-speed querying capabilities allow for efficient troubleshooting, system health monitoring, and the detection of security anomalies. With the capacity to handle up to 10 petabytes, critical historical data is always accessible.
End-to-End Distributed Tracing
In complex microservices architectures, understanding request flows is vital. OpenWit provides robust distributed tracing, allowing visualization of the entire request lifecycle. This helps in pinpointing latency issues or error origins within distributed systems, significantly reducing Mean Time To Resolution (MTTR).
Real-time Application Performance Monitoring (APM) - Logs & Traces Focus
Ensuring optimal application performance is crucial. OpenWit analyzes logs and traces to offer insights into application response times, error rates, and transaction flows. While not a full APM suite for all metrics out-of-the-box, its core log and trace capabilities make it a powerful engine for custom APM setups, especially with upcoming metrics support.
Security Information and Event Management (SIEM) - Foundational Data Platform
OpenWit can serve as a powerful foundational data platform for SIEM. Its ability to ingest, store, and rapidly query massive log datasets allows security teams to correlate events, identify suspicious patterns, and conduct forensic analysis efficiently, enhancing organizational security posture.
IoT Data Observability (Future Potential with Metrics)
The proliferation of IoT devices generates vast data streams. OpenWit's scalability and performance are well-suited for handling this high-velocity, high-volume data. While current capabilities focus on logs and traces from IoT gateways, upcoming metrics support will further enhance its utility for real-time monitoring and analytics of device fleets.