Find the Needle.In a Billion Haystacks.
Upload your log files and get instant AI-powered insights. SKC Log Analyser runs as a local Streamlit web app on your machine - no cloud, no data leaving your network. Detect anomalies, trace root causes, and stop drowning in log lines.
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app.log · 2.8 GB
3 anomalies detected
1 critical error pattern
Root cause: DB connection pool exhaustion
First occurrence: 03:42:17
Affected: api-gateway, user-service
Intelligence That Scales With Your Logs
From a single application log to multi-gigabyte server logs, SKC Log Analyser handles it all. Upload your file and get insights in seconds.
Intelligent Pattern Detection
AI doesn't just search - it understands. Automatically identifies anomalies, error cascades, and performance degradation patterns across your log files.
Anomaly Detection
SKC Log Analyser identifies unusual patterns in your logs - error spikes, latency degradation, and unexpected behavior - without manual threshold tuning.
Root Cause Analysis
Stop guessing. Our correlation engine traces errors back to their source, showing you exactly what went wrong and when.
Universal Log Support
Apache, Nginx, Docker, Kubernetes, JSON, CSV, Syslog, custom formats - if it's a text-based log file, upload it and get analysis. No reformatting required.
Visual Analytics
Transform walls of text into actionable insights. Interactive dashboards, trend analysis, and exportable reports for stakeholders.
100% Local & Private
Your logs contain sensitive data. SKC Log Analyser runs as a local Streamlit app on your machine. No cloud dependency. No data leaves your network. No telemetry.
Works With Every Log Format
No reformatting. No custom parsers. Just point and analyze.
Plus: Apache, Nginx, Docker, Kubernetes, JSON, CSV, Syslog, and custom text-based formats
From Chaos to Clarity in Seconds
When production goes down at 3 AM, you don't have time to scroll through gigabytes of log lines. Upload your log file to SKC Log Analyser and get answers, not more questions.
Incident Response
Instantly correlate events across services and identify root cause. Cut your time-to-resolution from hours to minutes.
Security Monitoring
Detect intrusion attempts, unusual access patterns, and compliance violations automatically.
Performance Optimization
Identify bottlenecks, slow queries, and resource contention before users notice.
Built by Engineers, for Engineers
SKC Log Analyser is a self-hosted Streamlit app. Upload your log file, get instant AI-powered analysis in your browser. No cloud dependency, no data leaves your machine. We built the tool we wished we had.
Stop Drowning in Logs
Join the early access program and be among the first to experience intelligent log analysis. Limited spots available.
Frequently Asked Questions
What is SKC Log Analyser?
SKC Log Analyser is a self-hosted Streamlit web app for AI-powered log analysis. Upload your log files and get instant insights - anomaly detection, root cause analysis, and visual analytics - all in your browser.
Does it work offline?
Yes. SKC Log Analyser runs entirely on your local machine as a Streamlit app. No internet connection is required after installation. Your log files never leave your computer.
What log formats are supported?
Apache, Nginx, Docker, Kubernetes, AWS CloudWatch, JSON, CSV, Syslog, and custom formats. If it's a text-based log file, SKC Log Analyser can process it.
What do I need to run it?
Python 3.9 or higher. Install the dependencies, run the Streamlit app, and open localhost:8501 in your browser. No cloud account, no API keys, no external services required.
Is my log data sent to the cloud?
No. SKC Log Analyser processes everything locally on your machine. Your log files are never uploaded to any server. This makes it safe for sensitive logs containing PII, credentials, or internal system details.
How is this different from ELK or Splunk?
ELK and Splunk are enterprise platforms that require infrastructure, configuration, and ongoing maintenance. SKC Log Analyser is a single-app solution: install it, upload a log file, and get insights immediately. It's designed for engineers who need quick answers without standing up a full observability stack.