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Deployment

Kafka Cluster Modes

Use Kafka for transaction log and document log persistence.

Local Cluster

Embed the Crux node in your application:

Local Cluster Mode

Remote Cluster

Use the Crux node over HTTP:

Remote Cluster Mode

Standalone Modes

Use a second local KV instance for durable transaction log and document log persistence. This is not recommended for production usage.

Local Standalone

Embed a fully independent instance of Crux in your application:

Local Standalone Mode

Remote Standalone

Use a single standalone instance of Crux over HTTP:

Remote Standalone Mode

Migration

You can rebuild nodes whenever needed as long as the transaction log and document log is durably stored. Nodes will need rebuilding when index formats have breaking changes. Migrating from a standalone node to a cluster node is possible, to address evolving scaling and availability requirements.

Security

Crux does not provide any native security features. It is important that you carefully consider the security risks when deploying Crux in public environments. Contact us if you would like to hear about JUXT’s deployment services for Crux: crux@juxt.pro

Managed Hosting

JUXT offers a Managed Hosting service for Crux to accelerate your development and provide you with a secure and reliable service. We can deploy into any environment. Contact us if you would like to hear about JUXT’s Managed Hosting service for Crux: crux@juxt.pro

Backup and Restore

Crux provides utility APIs for local backup and restore when you are using the standalone mode (which is not recommended for production usage). For an example of usage, see the standalone web service example.

An additional example of backup and restore is provided that only applies to a stopped standalone node here.

In a clustered deployment, only Kafka’s official backup and restore functionality should be relied on to provide safe durability. The standalone mode’s backup and restore operations can instead be used for creating operational snapshots of a node’s indexes for scaling purposes.

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