Documentation

Data ingest lifecycle best practices

Data ingested into InfluxDB must conform to the retention period of the database in which it is stored. Points with timestamps outside of the retention period are no longer queryable, but may still have references maintained in Object storage or the Catalog, resulting in an increase in operational overhead and cost. To reduce these factors, it is important to manage the lifecycle of ingested data.

Use the following best practices to manage the lifecycle of data in your InfluxDB cluster:

Use appropriate retention periods

When creating or updating a database, use a retention period that is appropriate for your requirements. Storing data longer than is required adds unnecessary operational cost to your InfluxDB cluster.

Tune garbage collection

Once data falls outside of a database’s retention period, the garbage collection service can remove all artifacts associated with the data from the Catalog store and Object store. Tune the garbage collector cutoff period to ensure that data is removed in a timely manner.

Use the following environment variables to tune the garbage collector:

  • INFLUXDB_IOX_GC_OBJECTSTORE_CUTOFF: the age at which Parquet files not referenced in the Catalog store become eligible for deletion from Object storage. The default is 30d.
  • INFLUXDB_IOX_GC_PARQUETFILE_CUTOFF: how long to retain rows in the Catalog store that reference Parquet files marked for deletion. The default is 30d.

These values tune how aggressive the garbage collector can be. A shorter duration value means that files can be removed at a faster pace.

To ensure there is a grace period before files and references are removed, the minimum garbage collector (GC) object store and Parquet file cutoff time is three hours (3h).

We recommend setting these options to a value aligned to your organization’s backup and recovery strategy. For example, a value of 6h (6 hours) would be appropriate for running a lean Catalog that only maintains references to recent data and does not require backups.

Use case examples

Use the following scenarios as a guide for different use cases:

Leading edge data with no backups

Custom backup window with object storage versioning

Custom backup window without object storage versioning


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InfluxDB OSS 2.9.0: API tokens are hashed by default

Stronger token security in InfluxDB OSS 2.9.0 — tokens are hashed on disk by default. Existing tokens are hashed on first startup and can’t be recovered afterward. Capture any plaintext tokens you still need before you upgrade.

View InfluxDB OSS 2.9.0 release notes

Hashed tokens authenticate exactly like unhashed tokens — clients and integrations keep working.

Also new in 2.9.0:

  • Configurable backup compression
  • Restore support for backups containing hashed tokens
  • Tighter Edge Data Replication queue validation
  • Flux upgrade
  • Compaction reliability improvements

Key enhancements in Explorer 1.9

Explorer 1.9 is now available with InfluxQL support, an AI-assisted Flux to SQL converter (beta), and new live sample data simulators.

View Explorer 1.9 release notes

Explorer 1.9 includes new features and improvements that make it easier to query, visualize, and manage data.

Highlights:

  • Flux to SQL converter (beta): Convert Flux queries to SQL with an AI-assisted converter.
  • InfluxQL support: Query data with InfluxQL in the Data Explorer and dashboards, and save and load InfluxQL queries.
  • InfluxQL visualizations: Render line and bar charts from InfluxQL results with per-tag series grouping.
  • Query error history: Review a history of query errors in the query tool.
  • Live sample data simulators: Generate continuous live sample data with new bird data and signal generator simulators.

For more details, see Explorer 1.9 release notes

InfluxDB 3.10 is now available

InfluxDB 3 Core 3.10 adds an automatic catalog format upgrade, a configurable query-concurrency limit, and processing engine improvements.

Key updates in InfluxDB 3 Core 3.10:

  • Catalog format upgrade: the on-disk catalog automatically upgrades from format v2 to v3 on first 3.10 startup. Migration is one-way—back up your catalog before upgrading.
  • --max-concurrent-queries: limit concurrent queries (adjustable at runtime).
  • GET /ready endpoint for readiness probes.
  • Processing engine: cross-database queries and trigger lockdown flags.

For more information, see the InfluxDB 3 Core release notes.

InfluxDB 3.10 is now available

InfluxDB 3 Enterprise 3.10 adds automated backup and restore, row-level deletions, and user management, with an automatic catalog format upgrade and performance preview improvements.

Key updates in InfluxDB 3 Enterprise 3.10:

  • Catalog format upgrade: the on-disk catalog automatically upgrades from format v2 to v3 on first 3.10 startup. Migration is one-way—back up your catalog before upgrading.
  • Automated backup and restore (beta)
  • Row-level deletions
  • User management (authentication and RBAC) — preview
  • Performance preview improvements

Backup and restore, row-level deletions, and the performance preview require the Enterprise storage engine upgrade (opt-in beta). Beta and preview features are subject to breaking changes and aren’t recommended for production use.

For more information, see the InfluxDB 3 Enterprise release notes

Telegraf Enterprise is now generally available

Telegraf Enterprise is now generally available, along with Telegraf Controller v1.0.

Telegraf Enterprise combines Telegraf Controller, a centralized management console for Telegraf, with official support from InfluxData. Manage configurations, monitor fleet health, and operate tens of thousands of Telegraf agents from a single system.

InfluxDB Docker latest tag changing to InfluxDB 3 Core

On September 15, 2026, the latest tag for InfluxDB Docker images will point to InfluxDB 3 Core. To avoid unexpected upgrades, use specific version tags in your Docker deployments.

If using Docker to install and run InfluxDB, the latest tag will point to InfluxDB 3 Core. To avoid unexpected upgrades, use specific version tags in your Docker deployments. For example, if using Docker to run InfluxDB v2, replace the latest version tag with a specific version tag in your Docker pull command–for example:

docker pull influxdb:2