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docs | Operating a Job: Resource Utilization | docs-jobops-resource-utilization | Learn how to see resource utilization of a Nomad Job. |
Determining Resource Utilization
Understanding the resource utilization of your application is important for many
reasons and Nomad supports reporting detailed statistics in many of its drivers.
The main interface for seeing resource utilization is with the alloc-status
command by specifying the -stats
flag.
In the below example we are running redis
and can see its resource utilization
below:
$ nomad alloc-status c3e0
ID = c3e0e3e0
Eval ID = 617e5e39
Name = example.cache[0]
Node ID = 39acd6e0
Job ID = example
Client Status = running
Created At = 06/28/16 16:42:42 UTC
Task "redis" is "running"
Task Resources
CPU Memory Disk IOPS Addresses
957/1000 30 MiB/256 MiB 300 MiB 0 db: 127.0.0.1:34907
Memory Stats
Cache Max Usage RSS Swap
32 KiB 79 MiB 30 MiB 0 B
CPU Stats
Percent Throttled Periods Throttled Time
73.66% 0 0
Recent Events:
Time Type Description
06/28/16 16:43:50 UTC Started Task started by client
06/28/16 16:42:42 UTC Received Task received by client
Here we can see that we are near the limit of our configured CPU but we have plenty of memory headroom. We can use this information to alter our job's resources to better reflect is actually needs:
resource {
cpu = 2000
memory = 100
}
Adjusting resources is very important for a variety of reasons:
- Ensuring your application does not get OOM killed if it hits its memory limit.
- Ensuring the application performs well by ensuring it has some CPU allowance.
- Optimizing cluster density by reserving what you need and not over-allocating.
While single point in time resource usage measurements are useful, it is often more useful to graph resource usage over time to better understand and estimate resource usage. Nomad supports outputting resource data to statsite and statsd and is the recommended way of monitoring resources. For more information about outputting telemetry see the Telemetry documentation.
For more advanced use cases, the resource usage data may also be accessed via the client's HTTP API. See the documentation of the Client's Allocation HTTP API