# Insights Agent
The Insights Agent runs inside your Cluster, and sends back data to Fairwinds Insights.
The Insights Agent comes with several different open source reporting tools, each of which can be configured independently using the Report Hub. To read more about the different report types, see the Reports Section.
# Configuration
The Insights Agent is installed and configured using Helm. To see the full list of options, you can check out the Insights Agent Helm chart (opens new window)
In particular, for any given report type, you can set the following options:
enabled- this is typically set totrueby defaultschedule- a cron expression dictating when this report should run. This is typically set to a random minute every hourtimeout- how long to wait for output, in secondsresources- requests and limits for CPU and memory for this report
# Debugging
If you suspect something is wrong with the Insights Agent, you can use kubectl to
debug the problem.
After the agent runs, kubectl get pods should show something like this:
$ kubectl get pods -n insights-agent
NAME READY STATUS RESTARTS AGE
goldilocks-5sh8s 0/2 Completed 0 18m
goldilocks-7pgp6 0/2 Completed 0 19m
insights-agent-goldilocks-controller-5b6b45d678-vgbrk 1/1 Running 0 19m
insights-agent-goldilocks-vpa-install-566h8 0/1 Completed 0 19m
kube-bench-dpvbz 0/2 Completed 0 18m
kube-hunter-tnmsw 0/2 Completed 0 18m
polaris-zk4px 0/2 Completed 0 18m
rbac-reporter-1583952600-kwmfz 0/2 Completed 0 105s
rbac-reporter-sf9cz 0/2 Completed 0 18m
release-watcher-6lhm7 0/2 Completed 0 18m
trivy-8nw9d 0/2 Completed 0 18m
workloads-1583951700-dj6wb 0/2 Completed 0 16m
workloads-q6gzt 0/2 Completed 0 18m
If any of the pods there show an error, you can look at the logs. There are typically two containers per pod in the Insights Agent - one to run the auditing tool, and another to upload the results. For example, here are typical logs for kube-bench:
$ kubectl logs kube-bench-dpvbz -n insights-agent -c kube-bench
time="2020-03-11T18:32:51Z" level=info msg="Starting:"
time="2020-03-11T18:32:51Z" level=info msg="Updating data."
time="2020-03-11T18:32:54Z" level=info msg="Data updated."
If nothing suspicious appears there, you might find an answer in the second container, which uploads the results. It should end with something like this:
$ kubectl logs kube-bench-dpvbz -n insights-agent -c insights-uploader
curl -X POST https://staging.insights.fairwinds.com/v0/organizations/acme-co/clusters/staging/data/kube-bench -L -d @/output/kube-bench.json -H 'Authorization: Bearer <REDACTED>' -H 'Content-Type: application/json' -H 'X-Fairwinds-Agent-Version: 0.1.3' -H 'X-Fairwinds-Report-Version: 0.1' -H 'X-Fairwinds-Agent-Chart-Version: 0.15.2' --fail
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 174k 100 16 100 174k 23 254k --:--:-- --:--:-- --:--:-- 274k
+ exit 0
{"Success":true}
# Common Problems
# Resource Limits
We have set reasonable resource requests and limits on each of the audits, but some clusters may push the boundaries of our assumptions. If you're seeing out-of-memory errors or other resource-related issues, try setting higher resource limits.
If you're using the helm chart, you can do this by adding
--set $reportType.resources.limits.memory=1Gi
# or
--set $reportType.resources.limits.cpu=1000m
to your helm update --install command.
# Timeouts
We have set a reasonable timeout for each of the audits, but again, some clusters may
push the boundaries of our assumptions. If you're seeing timeout issues in the insights-uploader
container in one of the report types, you can adjust the timeout by adding:
--set $reportType.timeout=3600 # 3600s = 5min
to your helm update --install command.