Loghive
AI-Powered Log Analysis and Live Log Ingestion
Start new thread
Kristijan

Loghive - AI-Powered Log Analysis and Live Log Ingestion

by•
Most observability platforms focus on collecting and visualizing data. Engineers are still left investigating incidents manually. LogHive focuses on understanding incidents. Instead of showing thousands of log entries, LogHive identifies likely causes, highlights supporting evidence, and generates human-readable explanations that help teams resolve issues faster. We sanitize sensitive info before feeding to AI Ideal For: DevOps Engineers Platform Engineers Backend Developers IT Operations Teams

Add a comment

Replies

Best
Kristijan
Maker
📌
The idea came from years of working with infrastructure, monitoring systems, servers, and troubleshooting production incidents. During outages, I found myself spending hours digging through logs, dashboards, alerts, and monitoring tools trying to answer one simple question: "What actually caused this?" Most observability tools are great at collecting data, but engineers still have to manually connect the dots. A single incident can involve thousands of log lines, multiple systems, recent deployments, infrastructure changes, and scattered alerts. I started building LogHive to change that. Instead of only showing logs, LogHive analyzes them, identifies patterns, builds incident timelines, highlights evidence, and helps explain the likely root cause. The goal is to help engineers spend less time searching and more time fixing. Building LogHive has been a huge learning experience. What started as a simple AI log analyzer evolved into a broader platform focused on incident understanding, real-time monitoring, anomaly detection, and operational intelligence. The current version is still early, and that's exactly why I'm launching today. I'm looking for honest feedback from developers, DevOps engineers, SREs, and anyone who works with logs or production systems. I'd love to hear: • What is your biggest frustration with logs today? • Which monitoring or observability tools do you currently use? • What would make a tool like LogHive genuinely useful for your team? Thanks for checking it out, and I'm excited to hear your thoughts!