Used For

• +**You're getting alerts but have to dig through 10,000 log lines to find the actual problem** → AI reads everything and says 'MySQL connection timeout on server 3, here's the fix'
• +**Your app is slow but you don't know if it's the database, API, or frontend** → Traces every user request step-by-step to show exactly where it gets stuck
• +**Storing months of logs costs more than your actual servers** → Automatically filters out noise and archives old data to cheap storage
• +AI chat that explains cryptic errors in plain English - ask 'why did checkout fail?' and get actual answers
• +Converts high-volume logs into simple graphs so you can spot trends without reading every single entry

Best For

• >Your apps keep breaking and you're spending weekends playing detective in server logs
• >Running 50+ services in the cloud and have no idea which one is causing the slowdown
• >Your team is growing past the point where one person can remember how everything works

Not For

• -Small teams under 20 people — you're paying enterprise prices to monitor problems you can spot manually
• -Anyone wanting plug-and-play simplicity — you'll spend days configuring log parsing and alert rules
• -Teams on tight budgets — usage-based pricing means your bill grows with your data, and it grows fast

Pairs With

• *Kubernetes (where your containerized apps live and generate the logs that need monitoring)
• *AWS CloudWatch (Logz.io pulls your AWS logs automatically instead of you checking 12 different dashboards)
• *Slack (where the AI sends alerts that actually matter instead of spam)
• *PagerDuty (for escalating the real emergencies that AI flags as critical)
• *Datadog (some teams run both - Datadog for infrastructure metrics, Logz.io for log analysis)
• *Grafana (to build custom dashboards with the metrics Logz.io extracts from your logs)

The Catch

• !You'll spend the first week filtering out 'noisy' logs or get 500 meaningless alerts per day
• !The AI is only as good as your log quality — garbage logs in, garbage insights out
• !Archive & Restore sounds great until you need that data RIGHT NOW and have to wait for it to download from cold storage

Bottom Line

Turns your 3am fire drills into 'AI found the problem and here's how to fix it' alerts.