AI-Powered
Log Management
Search petabytes of logs with natural language, detect patterns automatically, and jump from any log line to its correlated trace. Log management that works the way engineers actually think.
Logs That Work For You
From ingestion to insight, every capability is designed to reduce the time between 'something is wrong' and 'I know exactly why'.
Natural Language Query
Ask "show me all 500 errors in payment service in the last hour" and get results instantly. No query language to learn.
Pattern Detection
AI automatically clusters similar log lines, surfaces emerging patterns, and alerts you before they become incidents.
Log-to-Trace Correlation
Every log line is automatically linked to its parent trace. Jump to the exact span in one click without hunting through trace IDs.
Live Tail
Stream logs in real-time with server-side filtering, regex highlighting, and sub-second latency from ingestion to display.
Archive & Rehydrate
Cold-tier archiving to S3/GCS keeps costs low. Rehydrate any time window in minutes for deep historical investigations.
Custom Parsing
Grok patterns, JSON flattening, regex extractors — or let AI auto-detect your log format and create the pipeline for you.
Send Logs From Anywhere
Drop-in integrations with the tools your team already uses.
Frequently Asked Questions
How does natural language log search work?
You type a plain English query such as "show me all 500 errors in the payment service from the last 30 minutes" and TigerOps translates it into an optimised query against your log index. The AI understands service names, time ranges, log levels, and field names from your schema, so you get accurate results without learning a query language.
What log formats are supported for automatic parsing?
TigerOps auto-detects and parses JSON, logfmt, Apache/NGINX combined log format, syslog RFC 3164 and 5424, and most common application log formats. For custom formats you can define Grok patterns, regex extractors, or JSON field mappings. The AI can also analyse a sample of your logs and suggest a parsing pipeline.
How does archive and rehydration work?
Logs older than your hot-tier retention window are automatically compressed and archived to your own S3 or GCS bucket, giving you years of retention at near-zero cost. When you need to investigate a historical incident, you submit a rehydration job specifying the time range and it becomes queryable in the live search interface within minutes.
Can I correlate logs directly with distributed traces?
Yes. When the TigerOps tracing agent is active, trace IDs and span IDs are automatically injected into your log records. In the log explorer you will see a "trace" button next to any log line that belongs to a trace — clicking it opens the full waterfall view for that request without any additional configuration.
What is the ingest SLA and how is it guaranteed?
TigerOps guarantees 99.9% log ingest availability with end-to-end latency from your log shipper to searchable storage under 10 seconds at p99. Ingest is backed by a durable message queue so logs are never lost even during temporary storage backend maintenance.
Stop Grepping. Start Understanding.
Natural language search, AI pattern detection, and instant trace correlation — everything your team needs to resolve issues faster.
No credit card required · 14-day free trial · Cancel anytime