Log Forensics Dashboard
Extract metrics, filter severity, and isolate critical errors in raw server logs.
Extract metrics, filter severity, and isolate critical errors in raw server logs.
Layerbit’s Log Analyzer doesn’t just colorize text—it acts as a client-side SIEM (Security Information and Event Management) tool. It uses complex Regex mapping to structure raw text into queryable data.
Rapidly isolate critical ERROR and FATAL entries during production outages to identify the root cause, ignoring INFO noise.
Search massive log dumps for specific IP addresses, request IDs, or error codes instantly across filtered or unfiltered views.
Analyze WARN entries to detect high memory usage, slow database queries, or connection pool exhaustion patterns.
Mock forensic scenarios instantly. Click the templates below to load sample logs and watch how the engine categorizes severity and extracts timestamps.
We prioritize zero-trust security architecture. The entire application operates strictly within your browser's DOM. Logs uploaded or pasted are processed locally by JavaScript. Absolutely no data is transmitted over the network, ensuring complete air-gapped security for sensitive production data.
Our complex Regex mapping logic automatically structures raw text from standard Nginx (access/error), Apache, Node.js, Spring Boot, and Docker containers. It targets universal markers for severities like ERROR, FATAL, WARN, INFO, NOTICE, and DEBUG, as well as common ISO/UTC timestamps.
While ELK/Splunk excel at long-term storage and aggregation, Layerbit provides instant, lightweight forensic analysis for immediate IR needs. IR engineers often need to parse a single 2GB raw text file dropped during an incident without waiting for it to index into a database. We offer a SIEM-like experience without the infrastructure overhead.