Skylv Log Aggregationv1.0.1

Developers can quickly search logs from a specific time range and user ID to find error traces and stack traces without SSHing into individual servers, reducing mean time to resolution.

Sysadmins configure alerts when error rates exceed a threshold (e.g., 10 per minute) or specific patterns like OutOfMemoryError occur, enabling proactive incident response.

Engineers search for logs with duration > 1000ms and aggregate by endpoint to calculate average duration, identifying slow API endpoints for optimization.

Security analysts search for failed login attempts over the past week or suspicious SQL patterns to detect brute force attacks or SQL injection attempts.

DevOps teams collect logs from Docker containers, cloud services, and application log files into a single searchable repository, eliminating the need to log into multiple systems.

Offer log aggregation as a cloud service with tiered pricing based on log volume, retention period, and number of users, providing a predictable recurring revenue stream.

Sell on-premises licenses to enterprises that require data sovereignty, with pricing per node or per GB of logs ingested, plus optional support contracts.

Provide a free tier with limited log retention and search capabilities, then upsell premium features like advanced alerting, exports to SIEM, and higher retention periods.