InfluxDB: Preventing Disk Space Saturation

This documentation is part of the Getting Started guide. You can view the complete guide here: How to quickly set up and manage InfluxDB using best practices.

👋 Welcome to the Stackhero documentation

Stackhero offers a fully managed InfluxDB cloud environment, designed for speed and simplicity:

• Unlimited writes, queries, dashboards, tasks, and buckets.
• Unlimited data retention: keep your metrics for as long as you need.
• Unlimited network and disk transfers, with no hidden limits.
• One-click updates: always benefit from the latest features and fixes.
• Consistent performance and enhanced security on your own private, dedicated infrastructure.

With Stackhero, you can focus on your data and analytics. Deploying InfluxDB cloud hosting only takes a few minutes, and every setup is optimized for long-term reliability.

InfluxDB is optimized for handling large volumes of time series data. Since it does not automatically delete old data, an unmanaged database can quickly fill up available storage. Stackhero helps you avoid this by supporting InfluxDB’s built-in features for efficient data management.

InfluxDB offers two main solutions:

1. Retention policies: Automatically delete data older than a specified period, such as 365 days. This keeps your storage usage predictable and eliminates the need for manual cleanup.
2. Downsampling data: Keep high-resolution data for recent periods and aggregate data for older periods. For example:
   • Retain 1-second resolution for the last 5 minutes.
   • Store maximum, minimum, and average values at 1-minute intervals for the past 24 hours.
   • Keep hourly aggregates for older data.

Retention policies allow you to keep relevant historical data without using excessive disk space. For more information on downsampling, refer to the official InfluxDB downsampling documentation.