InfluxDB Performance Tuning Tips
Learn about the top five performance tuning tips for improving both write and query performance with InfluxDB. Topics covered include series cardinality, batching points, downsampling, schema design and choosing time precision.
Download the tech paper to learn more.
Understand InfluxDB performance
InfluxDB is schemaless, easy to deploy, and therefore easy to start ingesting data. This is great however, you can accidentally destroy the performance of your instance by ingesting data that can make key capabilities like reads and write unusable.
If reads and writes to InfluxDB have started to slow down or causing memory issues, here are some things you can do to avoid this issue
- Writing log messages to tags: If a log message includes a unique timestamp, pointer value, or unique string, many unique tag values are created.
- Writing timestamps to tags: Typically done by accident in client code.
- Unique tag values that grow over time: For example, a user ID tag may work at a small startup, but may begin to cause issues when the company grows to hundreds of thousands of users.
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