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InfluxDB stacks

InfluxDB stacks are stateful InfluxDB templates that let you add, update, and remove templated resources over time, avoid duplicating resources when applying the same or similar templates more than once, and apply changes to distributed instances of InfluxDB OSS or InfluxDB Cloud.

Ideal use cases for InfluxDB stacks

Stacks help save time and effort in the following use cases:

Actively develop and extend templates

InfluxDB stacks aid in developing and maintaining InfluxDB templates. Stacks let you modify and update template manifests and apply those changes in any stack that uses the template.

Apply updates from source-controlled templates

You can use a variety of InfluxDB templates from many different sources including Community Templates or self-built custom templates. As templates are updated over time, stacks allow template users to gracefully apply updates without creating duplicate resources.

Apply template updates across multiple InfluxDB instances

In many cases, users have more than one instance of InfluxDB running and apply the same template to each separate instance. By using stacks, you can make changes to a stack on one instance, export the stack as a template and then apply the changes to your other InfluxDB instances.

Manage InfluxDB Stacks


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The future of Flux

Flux is going into maintenance mode. You can continue using it as you currently are without any changes to your code.

Read more

InfluxDB 3 Core and Enterprise are now in Beta

InfluxDB 3 Core and Enterprise are now available for beta testing, available under MIT or Apache 2 license.

InfluxDB 3 Core is a high-speed, recent-data engine that collects and processes data in real-time, while persisting it to local disk or object storage. InfluxDB 3 Enterprise is a commercial product that builds on Core’s foundation, adding high availability, read replicas, enhanced security, and data compaction for faster queries. A free tier of InfluxDB 3 Enterprise will also be available for at-home, non-commercial use for hobbyists to get the full historical time series database set of capabilities.

For more information, check out:

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