Analysis updated 2026-07-11 · repo last pushed 2012-07-03
Store application logs in MongoDB so you can search and filter them by time, user, or error type.
Centralize logs from multiple services into one searchable database for easier debugging.
Track e-commerce checkout failures by querying MongoDB for specific error events instead of digging through text files.
Monitor application behavior by turning unstructured log text into organized, queryable database records.
| kayone/log4mongo-net | atrblizzard/vtmb-sbox-mounter | kayone/automoq | |
|---|---|---|---|
| Stars | — | 0 | — |
| Language | C# | C# | C# |
| Last pushed | 2012-07-03 | — | 2012-03-15 |
| Maintenance | Dormant | — | Dormant |
| Setup difficulty | moderate | moderate | easy |
| Complexity | 2/5 | 3/5 | 2/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires an existing .NET project already using log4net plus a running MongoDB instance to connect to.
log4mongo-net is a tool that lets applications built on Microsoft's .NET framework send their log entries directly to a MongoDB database. Logging is how software records what it is doing behind the scenes, which helps developers track down bugs, monitor performance, and understand user behavior. Instead of writing these records to simple text files, this tool saves them into a database that is easier to search and organize. When an application runs, it constantly generates events like "user logged in" or "payment failed." Tools like log4net handle the job of capturing these events. This project acts as a bridge that connects log4net to MongoDB, a type of database that stores information in flexible, document-like formats rather than rigid tables. Once connected, every log entry the app generates is automatically forwarded to the database and stored as a record. This is primarily used by .NET developers who already use MongoDB and want a better way to manage application logs. For example, if you run an e-commerce site and an error occurs during checkout, searching for that specific error in a massive text file is tedious. With logs stored in MongoDB, a developer can quickly query the database to find all errors from a specific time window, see which users were affected, and spot patterns. It turns messy text logs into searchable data. Setting it up involves adding the tool's files to an existing .NET project and adding a few lines of configuration to tell it where the MongoDB database lives, such as the host address and database name. The README does not go into detail on advanced features, but the core purpose is straightforward: it routes logging data into a scalable database.
A plugin for .NET apps that sends log records to a MongoDB database instead of text files, making logs searchable and easier to organize.
Mainly C#. The stack also includes C#, .NET, MongoDB.
Dormant — no commits in 2+ years (last push 2012-07-03).
No license information is provided in the README, so usage rights are unclear.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.