Why LogFleet?

The story of solving a problem we faced ourselves—managing observability across thousands of distributed locations without breaking the bank.

The Problem We Faced

Imagine managing reliability for 20,000+ distributed locations—retail stores, restaurants, warehouses, IoT deployments. Each location generates logs. Lots of logs. Now multiply that by thousands.

Traditional observability? Ship everything to the cloud. The result?

  • $50,000+/month in bandwidth costs alone
  • Useless during outages—when you need logs most, the internet is down
  • 99% of logs are noise—you're paying to store data you'll never query

We built LogFleet because we needed it. The architecture is inspired by real production systems handling millions of transactions daily across global retail operations.

Our Design Philosophy

Edge-First, Not Cloud-First

Process and store at the edge. Ship summaries, not raw data. Your locations should work even when HQ goes dark.

Design for Failure

Networks fail. Disks fill up. Services crash. LogFleet is built with circuit breakers, ring buffers, and automatic recovery.

On-Demand, Not Always-On

Stream full logs only when debugging. Auto-disable after timeout. Pay for bandwidth only when you actually need it.

Open Source Core

The edge agent is Apache 2.0 licensed. Run it, modify it, contribute to it. No vendor lock-in for your critical infrastructure.

Built By Practitioners

LogFleet is built by reliability engineers who have operated observability systems at global scale—not by a team chasing the latest VC trends.

We've spent years managing distributed systems across thousands of locations, dealing with the real challenges: unreliable networks, limited edge compute, cost pressures, and the need to debug production issues at 3 AM.

This isn't our first rodeo with distributed logging. It's the system we wished existed when we needed it.

Current Status: Open Source Beta

Honest Assessment: LogFleet is in active development. The core functionality works, but we're still building out features and hardening edge cases.

  • Edge agent with Vector + Loki stack
  • Log-to-metric extraction at edge
  • On-demand log streaming
  • Fleet management UI (in progress)
  • Multi-tenant cloud platform (in progress)

We believe in shipping early and iterating based on real feedback. If you're facing similar challenges, we'd love to hear from you.

Ready to Try It?

The edge agent is open source and ready to deploy. Start collecting logs in minutes.