AI driven logging agents built to reduce monitoring infrastructure maintenance and manual configuration.
Perspicacity, our remote configuration protocol allows logging agents to configure themselves and receive updates in real time.
Most log agents are statically configured in YAML requiring engineers to develop config pipelines or manually configure monitoring infrastructure.
Play and pause logging streams to reduce archival costs and network noise.
Control logging agents via secure API and request configuration changes for agents within inaccessible networks in real time.
Agents autonomously configure themselves while discovering new log sources.
Agent configuration via YAML is slow, inflexible, and time consuming to onboard.
Quickly setup logging using our AI empowered agents in under 10 minutes.
Works across all remote networks. Useful for IoT, cloud, and on premise application.
Perspicacity. Our remote configuration protocol allows logging agents to securely communicate with a central registry for picking up new config updates and policy changes.
LogSail agents capture application logs from Docker, systemd, and flat files. All stored within a single secure cloud.
Quickly configure log agents via UI without ever touching the terminal or config files.
Build queries to search for log events across multiple hosts, containers, apps, and clouds.
Pull logs from Docker, systemd, and flat files.
Auto discover Zeek logs and forward to LogSail's archival service with zero configuration.
Quickly discover, capture, and archive Zeek logs using lsagent.
Capture traffic analysis by Zeek and make available using our API.
Get insights on SSH, HTTP, and DNS traffic.
Never write configuration files for logging again.
Auto configure agents using LogSail's policy engine.
LogSail's policy engine enables agents to configure themselves as new log-able resources are created.
Agents dynamically reconfigure themselves based on infrastructure changes.
We have some of the most competitive pricing in industry.
Selectively pull logs in real time reducing storage cost for log archival.
Keep log and metrics data in one place in one console.