This article provides recommendations and performance benchmarks to help select resources for a ServiceControl production environment.
General recommendations
- A dedicated production server for installing ServiceControl instances (Error, Audit, and Monitoring).
- A minimum of 16 GB of RAM (excluding RAM for OS and other services).
- 2 GHz quad core CPU or better.
- A dedicated, non-virtual, pre-allocated SSD for ServiceControl databases (not the disk where the operating system is installed).
Scaling ServiceControl
When possible, scaling up a single machine to handle system load is recommended. When scaling up is not an option, ServiceControl may be scaled out by partitioning audit processing between multiple instances. See Multiple ServiceControl Instances for more details.
Ongoing server performance monitoring
The requirements for a server hosting ServiceControl may change over time as the system evolves. It's important to continuously monitor the CPU, RAM, disk I/O, and network I/O for the server running ServiceControl to ensure adequate resources are available for overall system health.
Disk, CPU, RAM, and network performance may be monitored using the Windows Resource Monitor and/or Windows Performance counters.
Storage recommendations
- Store ServiceControl data on a dedicated disk. This makes low-level resource monitoring easier and ensures applications are not competing for storage IOPS.
- Store multiple ServiceControl databases on separate physical disks to prevent multiple instances competing for the same disk resources.
- Disable disk write caching (read caching can remain enabled) to prevent data corruption if the (virtual) server or disk controller fails. This is a general best practice for databases.
- Database paths should be located on disks suitable for low latency write operations (e.g. fiber, solid state drives, raid 10), with a recommended IOPS of at least 7500.
- Use fixed-size (not dynamically expanding virtual) disks
- Use solid state drives (SSDs) to significantly reduce seek times and increase throughput
To measure disk performance, use a storage benchmark tool such as Windows System Assessment Tool (winsat disk -drive g
), CrystalDiskMark, or DiskSpd.
Do not use an ephemeral AWS or Azure disk for ServiceControl data because these disks will be erased when the virtual machine reboots.
Hosting in the cloud
At this time, the only way to host ServiceControl in the cloud is to use a virtual machine.
Improving performance
Increase RAM
The embedded RavenDB will use additional RAM to improve indexing performance. During times of high load, ServiceControl can peak to 12GB or more.
Message size / MaxBodySizeToStore
In general, the smaller the messages, the faster ServiceControl will process audit records. For larger message payloads, consider using the data bus feature.
For audit messages, lower the ServiceControl.
setting to skip storage of larger audit messages. This setting will only reduce load if non-binary serialization is used.
When using ServiceInsight, the message body is not viewable for messages that exceed the ServiceControl/
limit.
Separate disks for database and index files
Besides using a dedicated disk for the ServiceControl database paths, it's possible to store the embedded database index files on a separate disk.
Only applies to instances that use the RavenDB 3.5 storage engine
Use the Raven/
setting to change the index storage location.
Azure disk limitations
Using multiple 7500 IOPS disks in striped mode in Azure may not improve performance due to increased latency; consider scaling out ServiceControl to multiple instances instead.
Turn off full-text search
Updating the full-text index requires a considerable amount of CPU and disk space. If the full-text search on message bodies is not required, consider turning it off by doing either one of the following:
- Turn off the 'FULL TEXT SEARCH ON MESSAGE BODIES' in the settings configuration of ServiceControl Management Utility
- Modify the ServiceControl.Audit/EnableFullTextSearchOnBodies setting in the configuration file