Dashboards allow you to visualize your Cloud data with superior, never seen before depth.
You can combine metric, log and trace data in one place to give you a complete picture of your data.
At this time there is no capability for you to edit or create new dashboards, this is something we will be adding at a later date.
Central FusionReactor Dashboard¶
The central dashboard contains links to all log dashboards and can be used to quickly navigate between all dashboards
Log dashboards will be added and improved over time. This will include adding new categories of dashboards, new log views and new filters to gain insight and value from your logs.
- You can navigate into individual dashboards from the main FusionReactor dashboard.
- Use the links in the top right to navigate back to the main FusionReactor dashboards.
- Starring dashboards will place them in your favourites view, for easier access.
- Use the time picker to select a timeframe for the data you wish to view.
- Highlighting a specific timeframe of a chart will modify the timeframe for all graphs on the dashboard.
Databases - Observe database activity including throughput, time, total queries and error rate, broken down by database, collection / table and action.
Instances - Observe throughput, response time and error count broken down per instance.
Request Performance - Observe throughput, response time and error count, broken down by application, txn route and status code.
System Resource Usage - Observe the CPU, memory, GC and JIT statistics broken down by instance or application.
Total System Resource Usage - Observe the CPU, memory, GC and JIT statistics for your entire application stack.
Web Applications - Observe throughput, response time and error count broken down per application.
Instance Map - Observe instance health based on process CPU, system CPU or JVM memory usage. This view is similar to what you would see in the Enterprise Dashboard
For the list of log dashboards see the log dashboard index.
You will see that some dashboards have been marked as experimental, this allows us to continually roll out new concepts for dashboards.
These dashboards may contain issues, as we continue to refine and develop them.