Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Scaling Fluentd #235

Merged
merged 3 commits into from
Oct 17, 2019
Merged

Scaling Fluentd #235

Changes from 2 commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
82b8cda
Scaling Fluentd
abhi-sumo-zz Oct 16, 2019
dd79d07
Update monitoring-lag.md
abhi-sumo-zz Oct 16, 2019
210e70e
Update monitoring-lag.md
samjsong Oct 17, 2019
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
19 changes: 19 additions & 0 deletions deploy/docs/monitoring-lag.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,19 @@
# Monitoring the Monitoring

Once you have Sumo Logic's collection setup installed, you should be primed to have metrics, logs, and events flowing into Sumo Logic. However, as your cluster scales up and down, you might find the need to rescale your fluentd deployment replica count. Here are some tips on how to judge if you're seeing lag in your Sumo Logic collection pipeline.

1. Kubernetes Health Check Dashboard

This dashboard can be found from the `Cluster` level in `Explore`, and is a great way of holistically judging if your collection process is working as expected.

2. Fluentd Queue Length

On the health check dashboard you'll see a panel for fluentd queue length. If you see this length going up over time, chances are that you either have backpressure or you are overwhelming the fluentd pods with requests. If you see any `429` status codes in the fluentd logs, that means you are likely getting throttled and need to contact Sumo Logic to increase your base plan or increase the throttling limit. If you aren't seeing `429` then you likely are in a situation where the incoming traffic into Fluentd is higher than the current replica count can handle. This is a good indication that you should scale up.

3. Check Prometheus Remote Write Metrics

Prometheus has a few metrics to monitor its remote write performance. You should check that the succeeded count is strictly non-zero and if looking at a cumulative metric, it is going up and to the right. Two other great metrics to check are `remote_storage_pending_samples` and `remote_storage_failed_samples`. Higher failure counts and pending counts are good indicators of queue buildup.

4. Check Prometheus Logs

If all else fails, check the prometheus logs. If there is anything suspicious happening with regards to the fluentd connection you'll see it in the Prometheus logs. Any logs that have `connection reset` or `context cancelled` in them are indicative of requests that were terminated or dropped. Too many of those and your data will start to lag.