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Log search, analysis, and alerting server built for modern structured log data
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What is Seq?

Seq is a self-hosted server for structured log search, analysis, and alerting. It can be hosted on Windows or Linux/Docker, and has integrations for most popular structured logging libraries.
Seq is a tool in the Logging Tools category of a tech stack.

Who uses Seq?

18 companies reportedly use Seq in their tech stacks, including Fonibo, Roar Publicis, and SMOK sp. z o. o..

50 developers on StackShare have stated that they use Seq.

Seq Integrations

Python, Node.js, Java, Slack, and Ruby are some of the popular tools that integrate with Seq. Here's a list of all 11 tools that integrate with Seq.
Pros of Seq
Easy to install and configure
Easy to use
Flexible query language
Free unlimited one-person version
Beautiful charts and dashboards
Extensive plug-ins and integrations

Seq's Features

  • log search
  • alerting
  • dashboarding
  • charting

Seq Alternatives & Comparisons

What are some alternatives to Seq?
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.
Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.
See all alternatives

Seq's Followers
128 developers follow Seq to keep up with related blogs and decisions.