Table of contents
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This page describes what to do in case of an Icinga alert. For more information you could search the govuk-puppet repo for the source of the alert

Redis alerts

This page was imported from the opsmanual on GitHub Enterprise. It hasn’t been reviewed for accuracy yet. View history in old opsmanual

We have a few monitoring checks for Redis:

  • memory usage
  • number of connected clients
  • list length (for the logs-redis machines only)

Redis is configured to use 75% of the system memory. If Redis memory usage reaches this limit it will stop accepting data input. Redis is also unable to write its RDB data dumps when it’s out of memory, so data loss is possible.

Since version 2.6, Redis dynamically sets the maximum allowed number of clients to 32 less than the number of file descriptors that can be opened at a time.

General Redis investigation tips

If Redis is using large amounts of memory you could use redis-cli --bigkeys to find out what those things might be.

Redis for logs

Investigation of the problem

For logs-redis, memory may be exhausted if the Elasticsearch river is not consuming data from Redis for some reason. In this case, redis will accumulate data up to its memory limit and then stop accepting log data. In this condition log data will be lost from the logging pipeline because logship discards data.

  • You should use graphite for looking at CPU load and used memory. (Pending: More graphite inputs)
  • Also check how does this impacts Elasticsearch.
  • redis-cli INFO and redis-cli CLIENT LIST command helps to see present info. Other commands may come handy.

Redis rivers for Elasticsearch

We use elasticsearch-redis-river (a Redis river for Elasticsearch). This is a special process which reads data continuously from a redis queue (called logs) into Elasticsearch.

There is a Nagios alert (listed above) for when the logs Redis list gets too long. This might be because Elasticsearch is unavailable or may be for some other reason.

Generally this can be fixed by deleting and recreating the rivers. This is safe to do because the river pulls data from Redis (rather than redis pushing data into Elasticsearch).

Delete and recreate the rivers with this Fabric command:

fab $environment -H elasticsearch.delete:_river puppet

The elasticsearch.delete:_river command deletes all rivers, and puppet runs Puppet which will recreate them.

To manually check the length of the list, use:

fab $environment -H do:'redis-cli LLEN logs'
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