MongoDB instrumentation
The Mongoid gem relies on the Mongo Ruby Driver. AppSignal activates Mongo Ruby Driver instrumentation automatically if it is detected in the project.
AppSignal's MongoDB instrumentation supports the Mongo Ruby Driver gem and the Mongoid gem out-of-the-box; no manual setup is required. When AppSignal detects MongoDB metrics, it will create an Automated Dashboard, allowing you to monitor core metrics visually.
Performance monitoring
Once AppSignal begins reporting MongoDB metrics, AppSignal will give you performance insights via:
Event timeline
The event timeline gives you deep insights into MongoDB query performance, allowing you to see exactly what queries are run, when, and what impact they're having on your application's responsiveness.
Sample breakdown
Sample breakdowns allow you to review MongoDB performance at a glance, allowing you to quickly spot performance problems without having to dive deep into the details.
Slow queries
AppSignal has a whole suite of tools aimed at helping you improve your application's performance. Slow queries is a simple and informative overview of your application's slow queries and the impact they're having on your application's performance, allowing you to quickly and confidently decide on the steps needed to optimize them.
Automated dashboard
When AppSignal receives MongoDB metrics, it will create a MongoDB automated dashboard, available from the dashboard section of the AppSignal app.
The MongoDB automated dashboard will have the following graphs:
| Graph | Metrics | Tags |
|---|---|---|
| Throughput | mongodb_query_duration | database |
| Query duration | mongodb_query_duration | database |
Tags give you a contextual breakdown of Active job performance information currently AppSignal reports the following tags for Active Job jobs:
| Name | Description |
|---|---|
database | Name of database metric data is recorded from. |
Each tag will be represented with a colored line on the graph:
Throughput graph
The Throughput graph shows the amount of queries executed on each MongoDB database.
You can use this graph to understand how many queries your app's databases are handling, spot inefficient queries, and potential n+1 and scaling problems.
Query duration graph
The Query duration graph shows the 95th percentile and average duration of the queries executed on each MongoDB database.
You can use this graph to understand the performance of database queries, pinpoint performance issues, and fine-tune slow queries.