Seq is a powerful log server built with modern structured logging techniques in mind. Out of the box, Seq has everything you need to drastically reduce the time required to diagnose problems in complex applications and microservices.
Seq has already solved several visibility problems
— Arri Rucker, City Corridor
Seq collects data over HTTP, while your applications use the best available structured logging APIs for your platform. The simple Windows installer, and plug-ins from NuGet or NPM, make getting started quick and friction-free.
Seq is a web application hosted on your infrastructure, so you retain complete control over your own data.
✓ Rich Event Data — Structured logging adds context to errors and application events. Quickly zoom-in to find related events by filtering on properties, or use the same technique to exclude noise and see only what is relevant to a line of exploration.
Support for message templates seamlessly fuses text and structured data when used with compatible logging libraries.
✓ Intuitive Filtering —
<= and so-on. Built-in functions include
Full-text search and
/regular expressions/ are supported, too: just type free text into the filter bar and
Seq will find it in log messages and stack traces.
✓ Save and Share Filters — Signals are saved filters that can be applied with one click. Easily view the intersection of two or more filters, like Errors and Production to view only the logs you’re interested in.
Signals and queries are shared across your team so everyone can tune in.
✓ Beautiful Dashboards — Buid rich dashboards to keep an eye on your application. Watch error rates, track latencies or visualize business performance using structured data from your application log events.
Don't wait for users to report problems: set alerts on dashboard data to notify you when values are outside their expected ranges.
Extend Seq to react to events using C#, or modify one of the many examples available on GitHub.
A comprehensive HTTP API client makes it easy to query data from your own applications.
✓ Analyze and Chart with SQL — SQL queries with grouping, aggregation and time-slicing let you dig deeper into system behavior and performance.
Property-aware CSV export makes it easy to take analysis further with Excel and industry-standard business intelligence tools.