Self-hosted Plane on Docker: A production guide

A self-hosted Plane deployment gives your team control over how the environment is run, scaled, monitored, and recovered. The interesting part begins once those choices start connecting: database placement affects recovery, ingress affects real-time traffic, capacity affects headroom, and upgrade discipline shapes how confidently you can move between releases.

This guide walks through those production decisions for Plane on Docker, covering infrastructure, ingress, capacity, backups, observability, upgrades, access, incident readiness, and the operational practices that make the deployment easier to run day to day.

What changes when Plane moves from installed to operated

Getting Plane installed means pulling the required images, configuring the deployment, and confirming that the application responds. Operating it means making deliberate decisions about where state lives, how traffic reaches Plane, how much capacity the host has, how failures surface, how data is recovered, and who owns the deployment when something goes wrong.

Plane is a multi-service application. Its application services depend on PostgreSQL, Redis, RabbitMQ, and object storage. Those dependencies can be bundled with the Docker deployment or externalized, but their availability still affects how Plane operates.

Most production-hardening decisions happen around the Docker host and its supporting infrastructure, so the underlying approach is largely the same across Community and Commercial deployments.

The management tooling differs by edition:

• Community deployments use setup.sh.
• Commercial deployments use prime-cli

We’ll distinguish between the editions where the Plane-specific workflow or capability actually differs, such as upgrades, backups, log access, health checks, or configuration. Otherwise, the infrastructure and operational practices in this guide apply across both.

Set the infrastructure baseline first

Before tuning containers or adjusting resource limits, decide where Plane’s supporting services will run. For a production deployment, externalizing PostgreSQL, Redis, RabbitMQ, and object storage where your infrastructure allows keeps persistent and supporting services from being tied to the Plane application host.

This section covers two decisions: which services to keep bundled or move outside the Docker host, and how to connect those external services without unnecessarily exposing them.

External vs. bundled services

Plane’s Docker deployment can run PostgreSQL, Redis, RabbitMQ, and MinIO alongside the application. That bundled setup remains a valid deployment option. For production, separating these services from the Plane host gives operators clearer ownership of persistence, backups, availability, and recovery.

The main components to consider are:

Where available, a vendor-managed database service is the preferred option because it moves more of the database’s availability, maintenance, backup, and operational management to the service provider.

The practical benefit is failure isolation. If the Plane application host needs to be rebuilt or becomes unavailable, data stored in external services is not inherently lost with that host.

Externalizing services does not remove operational work. It changes where that work happens:

• Backups: External databases and object storage need their own backup policies.
• Monitoring: External dependencies need to be monitored alongside the Plane host.
• Recovery: Operators need to know which system owns recovery for each dependency.
• Capacity: Database and object-storage growth no longer consume the application host’s local disk.

You do not need to move every service at once. The important production decision is to make the placement of each dependency deliberate and understand the operational consequences of keeping it local or moving it outside the Plane host.

Configuration and networking notes

Once a service is external, Plane still needs a reliable and private network path to reach it.

1. For PostgreSQL:
   Configure Plane to use an address that is reachable from inside the Docker network. Do not use localhost to refer to an external database from inside a Plane container. Inside the container, localhost refers to that container itself.
2. For internal services:
   Keep PostgreSQL, Redis, RabbitMQ, and object-storage administration interfaces on trusted networks. Whether they are bundled or external, they should not be publicly reachable unless there is a deliberate operational reason.
3. For the Docker host:
   Keep Docker Engine and Docker Compose up to date with versions supported by your deployment, and review Plane’s deployment prerequisites before upgrading.

Key configuration to review

When moving Plane toward production, review the deployment variables that connect the application to its supporting services and define how the instance is exposed.

Depending on your architecture, this includes:

• APP_DOMAIN, WEB_URL, and CORS_ALLOWED_ORIGINS
• DATABASE_URL for PostgreSQL
• REDIS_URL for Redis
• AMQP_URL for RabbitMQ
• SECRET_KEY as part of the protected application configuration
• USE_MINIO=0 when using external object storage instead of bundled MinIO
• AWS_REGION, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_S3_ENDPOINT_URL, and AWS_S3_BUCKET_NAME for S3-compatible object storage

If the instance is exposed on a public network, configure HTTPS and review SITE_ADDRESS and CERT_EMAIL as part of the deployment’s TLS setup.

Keep sensitive values in plane.env protected from broad host access and version-control exposure.

The goal is a simple infrastructure boundary: the Plane application host runs the application. At the same time, persistent and supporting services are placed and protected according to the reliability model your production environment requires.

Put the right reverse proxy and TLS path in front of Plane

Plane's Docker deployments ship with a Caddy-based reverse proxy. Caddy is production-ready and can handle the ingress layer directly.

For production environments that already use an organizational reverse proxy, load balancer, certificate-management layer, or WAF, that infrastructure can sit in front of Plane's Caddy layer. This adds another boundary between the public internet and the deployment without implying that the bundled Caddy proxy is unsuitable for production.

Whichever ingress design you use, five areas need to stay aligned: WebSocket handling, forwarded headers, listener configuration, upload limits, and TLS/certificate management.

1. WebSocket support

Plane's real-time functionality depends on WebSockets. If an external proxy sits in front of Plane, it needs to preserve WebSocket connections throughout the ingress path. Make sure the proxy passes the required upgrade information and does not interrupt connections needed for Plane's real-time services.

2. Forwarded headers

When traffic passes through an external proxy, preserve the original request information through the appropriate forwarded headers.

This allows Plane and the proxy layer to correctly handle information such as the original request scheme, host, and client address.

If your proxy manages X-Forwarded-* headers, review its configuration to make sure those values are passed consistently to Plane.

3. External proxy configuration

When placing another reverse proxy in front of Plane, review Plane's Docker reverse-proxy configuration, including SITE_ADDRESS and the relevant HTTP and HTTPS listener-port settings. This external-proxy configuration applies across Plane's Docker deployments.

The goal is to make sure the bundled Caddy layer and the external proxy listen on the intended ports without conflicting with each other.

4. Upload size limits

The upload-size limit at the external proxy should align with the limit configured for Plane. If the proxy allows a smaller request than Plane does, the upload can be rejected before it reaches the application. Keeping the limits aligned avoids that mismatch.

5. TLS, certificates, and renewal

TLS policy and certificate management sit largely in the surrounding platform rather than Plane itself. As part of the production ingress setup:

• Apply your organization's TLS policy at the proxy.
• Add HSTS only after HTTPS and certificate renewal are working reliably.
• Test certificate renewal rather than assuming it will continue automatically.
• Monitor certificate expiry with enough lead time to intervene.

Reverse proxy checklist:

• TLS configured and renewal tested
• WebSocket traffic preserved
• Forwarded headers configured correctly
• External and internal listener ports aligned
• Upload-size limits consistent
• Certificate expiry monitored

Size the host and plan for storage growth

Production sizing starts with Plane’s baseline requirements, but it does not end there. The host needs enough headroom for the workload it actually carries, while disk growth and individual container usage need to stay visible as the deployment evolves.

This section covers four areas: the starting compute baseline for each edition, the signals to use for ongoing capacity planning, what consumes local disk, and how container resource limits can protect the host from resource exhaustion.

1. Compute baselines by edition

Use the following baselines as the starting point.

Community Edition

• Minimum: 2 CPU cores and 4 GB RAM
• Recommended for production: 8 GB RAM

Commercial Edition

• 4 CPU cores
• 8 GB RAM
• Scale further as workload grows

These are starting baselines rather than fixed sizing rules. Actual capacity depends on workload, concurrent activity, integrations, and the services running as part of the deployment.

Monitor resource use as the deployment moves into production and adjust capacity based on observed demand rather than assuming the initial size will remain sufficient.

2. Capacity planning

Once Plane is running under real workload, watch the signals that show whether the host still has enough headroom:

• Host CPU utilization: sustained pressure can indicate that the deployment needs more compute.
• Host memory pressure: track whether the overall service stack is approaching available memory.
• Container CPU and memory usage: identify individual services consuming an unusual share of host resources.
• Concurrent activity: more simultaneous activity increases the workload the deployment needs to handle.
• Integrations and enabled services: additional integrations and services contribute to the overall resource profile.

Capacity planning should reflect normal and peak usage rather than a one-time server-size decision.

3. Local disk usage

When PostgreSQL, Redis, RabbitMQ, and object storage are externalized, local disk consumption on the Plane host is concentrated primarily around:

• Docker images: New releases pull new images, and older images can accumulate over time.
• Container logs: Running containers continuously generate logs, which can consume host disk if rotation is not configured.

If PostgreSQL, object storage, or other persistent services remain on the same host, their local volumes also need to be included in disk-capacity monitoring.

This distinction matters because externalizing persistent services changes what the Plane host itself needs to store and monitor.

4. Container resource limits

Plane’s current Docker Compose configuration does not ship with preset CPU or memory limits for individual services.

Operators can define per-container limits based on the workload to prevent an individual service from consuming an excessive share of the host’s resources.

Avoid copying arbitrary CPU or memory values for the API, workers, Redis, RabbitMQ, or other services. Observe actual resource usage first, then set limits with enough headroom for normal workload spikes.

Make backups useful by testing restore

A backup is useful only if you can restore from it. Production recovery planning therefore needs to cover both who owns each backup and whether the resulting data can actually be restored.

For Plane on Docker, backup responsibility changes depending on where the application's data and supporting services run. This section covers what Plane's own backup workflow is responsible for, what moves to an external provider, how to protect plane.env, and how to validate recovery before an incident.

1. Understand backup ownership

When Plane's bundled services are used locally, use the backup workflow provided for your edition:

• Community Edition: backup through setup.sh
• Commercial Edition: backup through prime-cli

When services are hosted externally, they fall outside Plane's local backup workflow. An external PostgreSQL database is not backed up by Plane's local backup process, so its backup needs to be handled through the system that owns the database.

For an externalized deployment:

• PostgreSQL: Configure backups through the database provider or your own database operations process.
• Object storage: Configure backup and recovery through the service or provider that hosts it.
• Redis and RabbitMQ: Define recovery according to how those external services are configured and the role their persisted state plays in your deployment.
• plane.env: Protect separately because it remains an important local configuration artifact.

A simple ownership model keeps those responsibilities visible:

Document this ownership explicitly. During recovery, the team should already know which system owns each backup, where it is stored, and how recovery is initiated.

2. Protect plane.env

plane.env contains important runtime configuration, including database, storage, and application settings. Plane's backup workflows do not automatically protect this local configuration file.

Keep a protected copy outside the Plane host, such as in the external secure location your organization uses for deployment configuration.

Refresh that copy:

• after an upgrade
• after meaningful configuration changes
• after changes to secrets stored in plane.env

If the application host needs to be rebuilt, a current copy gives the operator the configuration needed to reconnect the deployment to its external services.

3. Validate recovery

Keep backups outside the same failure domain as the live deployment. A backup stored only on the same host does not protect against losing that host.

Then test restoration.

Define:

• RPO: how much recent data the organization can afford to lose
• RTO: how long the service can remain unavailable during recovery

Use those targets to set backup frequency and retention instead of applying arbitrary time periods.

Restore into a non-production environment and confirm that the recovered data and application behave as expected. Repeat restore tests as part of normal operations so the recovery process remains proven rather than assumed.

Build enough logging and monitoring to diagnose failure

Production monitoring needs to answer two different questions: Is the Plane deployment healthy, and can you understand what happened when it is not?

Plane gives operators access to application and container-level health information, but production observability still needs to be designed around the deployment. This section covers how to retain useful logs, where external monitoring tools fit, and how to combine health checks with host and dependency alerts.

1. Log management

Plane provides operational access to container logs through its management tooling:

• Commercial Edition: prime-cli
• Community Edition: the relevant setup.sh log workflow

These are useful when actively investigating a problem, but they are not a centralized logging system. They do not replace long-term log retention, search, aggregation, or alerting.

For production, focus on two practices:

Rotate local Docker logs

Container logs should not be allowed to grow indefinitely on the Plane host. Configure rotation according to the Docker logging policy used in your environment so logs do not gradually consume available disk.

Send logs to a centralized logging platform

If your organization already uses Loki, ELK, Datadog, or another log-management platform, include Plane's container logs in that existing system.

Centralized logging gives operators access to historical logs across services rather than relying only on what is available from a running container during an incident.

The exact implementation depends on the observability stack already in use. Plane does not require a particular logging product.

2. Monitoring stack

Plane does not ship a complete centralized monitoring and observability stack. Production operators should connect the deployment to the monitoring tooling their organization already uses.

Common open-source options include:

• Prometheus
• Grafana
• Loki
• Tempo
• Node Exporter
• cAdvisor

Commercial platforms such as Datadog or Dynatrace can serve the same purpose where they are already part of the organization's infrastructure. These are examples rather than required Plane dependencies.

The important outcome is to have persistent visibility and alerts without requiring an operator to sit on the Plane host watching a command in real time. This is the practical difference between local troubleshooting access and an actual monitoring setup.

3. Health checks and alerts

Plane's health-check surface differs by edition.

Community Edition

Community has a more limited documented health-check surface. A basic availability check can confirm that Plane is responding, but it does not provide the same dependency-aware readiness information available in Commercial.

Commercial Edition

Commercial provides dedicated liveness, readiness, and detailed health checks:

• Liveness: confirms that the application process is alive.
• Readiness: indicates whether Plane is ready to serve requests with the required dependencies available.
• Detailed health: provides more visibility into dependency health.

For Commercial deployments, use the documented readiness check when external monitoring or a load balancer needs dependency-aware application health.

Keep liveness and readiness separate. A dependency problem can make Plane temporarily unready without necessarily meaning the application process itself needs to be treated as dead.

Health endpoints are only one part of the monitoring picture. Also watch:

• Host CPU and RAM: identify sustained resource pressure.
• Host disk usage: catch log, image, or local-volume growth before disk space becomes critical.
• Container state and restarts: surface services that exit or repeatedly restart.
• Backup completion or failure: know when a scheduled recovery mechanism stops succeeding.
• Certificate expiry: catch TLS problems before the certificate expires.
• External dependencies: monitor PostgreSQL, Redis, RabbitMQ, object storage, and other external services according to the architecture in use.

Use alerts for conditions that require operator action. Dashboards help with investigation and trend analysis, but they should not be the only way a team discovers that something has failed.

Treat upgrades as controlled changes

A production upgrade affects more than the container images. It can also introduce configuration changes and database migrations, so the upgrade needs a known starting point, a supported execution path, and a clear verification step afterward.

This section covers three parts of that process: using Plane’s supported upgrade tooling, protecting persistent data before the change, and verifying that the deployment is healthy once the upgrade completes.

1. Use Plane's supported management tooling

Run upgrades through the management workflow for the edition you operate:

• Community Edition: setup.sh
• Commercial Edition: prime-cli

These supported workflows handle the changes that accompany a Plane release, including container updates and relevant configuration changes. Use them instead of bypassing the supported upgrade path with manual changes.

For Community deployments, follow the variables-upgrade.env review and merge step as part of the upgrade process. Compare it with the existing plane.env and carry forward any required new variables before completing the upgrade.

Avoid manually changing containers or configuration in ways that bypass the supported workflow. Doing so can leave release-specific configuration changes unapplied.

2. Back up persistent data before upgrading

Major and minor Plane upgrades can include database migrations. Before starting the upgrade, preserve the state you would need for recovery.

At minimum:

• Back up PostgreSQL.
• If PostgreSQL is external, use the external provider or your database-management process.
• If PostgreSQL is bundled and covered by Plane's backup workflow, use the appropriate Plane backup path.
• Keep a current external copy of plane.env.

Plane's local backup flow does not back up an externally hosted PostgreSQL database, so that backup must happen through the system that owns the database.

The purpose of the pre-upgrade backup is to preserve a known recovery point before migrations begin.

If the migrator fails, treat the upgrade as incomplete and follow Plane's supported troubleshooting or recovery guidance. Do not assume that retrying, restoring, or rolling back is always the correct next step.

3. Verify the upgrade

Once the upgrade finishes, confirm that the deployment is actually ready to return to normal use.

Check that:

• The migrator completed without errors
• The expected containers are running
• Application health passes using the appropriate health-check method for the edition
• The application functions your team depends on behave normally

Keep a lightweight record of each production upgrade:

• Previous version
• New version
• Upgrade date
• Verification result

Where practical, test the upgrade in a staging environment first so configuration or migration issues can be identified before the production deployment is changed.

Upgrade checklist:

• Database backup completed
• Current plane.env stored externally
• Upgrade run through setup.sh or prime-cli
• Community environment-variable changes reviewed where applicable
• Migrator completed successfully
• Application health verified
• Key application functionality checked
• Change record updated

Reduce unnecessary network and administrative exposure

A production Plane deployment has several layers of access: the services reachable over the network, the Docker host itself, and privileged administration inside Plane. Each should expose only what the deployment actually requires.

This section covers keeping internal services private, restricting host-level access, controlling Plane administration, handling centralized authentication accurately, and reviewing outbound telemetry where required.

1. Keep internal services private

Plane's internal data and supporting services should remain on trusted networks rather than being directly reachable from the public internet.

That includes:

• PostgreSQL
• Redis
• RabbitMQ
• Object-storage administration surfaces

Expose only the entry points required by the ingress design. Review Docker port mappings to make sure an internal service has not been published accidentally.

This applies whether those dependencies run alongside Plane or have been externalized. Their network boundary should reflect which Plane services and operators actually need to reach them.

2. Restrict host and Docker access

Limit access to the Plane host and Docker environment to the people responsible for operating the deployment.

Docker-level access gives an operator significant control over running services, deployment configuration, and host-mounted data. Treat it as privileged infrastructure access rather than ordinary application access.

Keep ownership clear so the team knows who can:

• Access the host
• Operate Docker
• Change deployment configuration
• Restart or modify services

3. Limit Plane administration

Host access and Plane administration are separate privilege layers.

Inside Plane, restrict instance administration to the people who actually need it. Plane provides instance-administration controls, including the /god-mode administration area, along with configurable session-expiry settings where applicable.

Review who holds high-privilege Plane access as part of normal deployment operations rather than assuming application-admin access should follow host access automatically.

4. Handle centralized authentication by edition

If centralized authentication is required, Plane supports identity options such as SSO and LDAP depending on edition and plan. Keep authentication and user lifecycle management separate. Enabling SSO should not be described as automatically providing user provisioning or deprovisioning.

Use the identity capabilities available for the edition being operated and refer to the relevant Plane documentation when configuring them.

5. Review telemetry and outbound traffic

For organizations with strict outbound-data requirements, include Plane telemetry in the deployment's egress review.

Review the available telemetry controls before go-live and make a deliberate decision about what outbound communication is acceptable for that environment.

This is an infrastructure-governance consideration rather than a compliance claim. The goal is simply to make outbound behavior understood rather than leaving it unreviewed.

Prepare for the incident before the incident

Incident response gets harder when ownership is unclear or basic deployment information exists only in someone's memory.

The goal here is not to build a complete incident-management program. It is to make sure the person responding to a Plane outage can quickly answer three things: who owns the problem, where the operational information lives, and what to check first based on the type of failure.

1. Establish ownership

Define who is responsible for:

• Operating the Plane deployment
• Responding when availability degrades
• Managing external dependencies such as the database, object storage, and monitoring infrastructure

These responsibilities can sit with the same team, but they should be clear before an incident occurs.

The on-call operator should also know whether the deployment is managed through setup.sh or prime-cli, since the available operational workflows differ by edition.

2. Keep operational documentation outside Plane

If Plane is unavailable, a recovery runbook stored only inside Plane is unavailable with it.

Keep the operational reference somewhere that remains accessible independently of the Plane deployment.

At minimum, document:

• Where the Docker deployment configuration lives
• Where the current external copy of plane.env is stored
• Where database and object-storage backups are managed
• How container logs are accessed
• Which monitoring platform is in use
• Whether the deployment is managed with setup.sh or prime-cli

The purpose is not to document every command. It is to give the responder enough context to find the right system and begin investigating without reconstructing the deployment during the outage.

3. Organize first-response troubleshooting

Keep the first-response path short and organize it around the type of failure rather than a long list of commands.

• Host resource or disk exhaustion
  Check CPU, memory, and disk pressure on the Docker host. Pay particular attention to disk usage from Docker images and container logs, along with any persistent services that still run locally.
• Dependency failure
  Check the dependencies used by the deployment, including PostgreSQL, Redis, RabbitMQ, and object storage where applicable. For Commercial deployments, dependency-aware readiness information can also help identify whether a required dependency is preventing Plane from becoming ready.
• Container or service failure
  Check the state of the relevant containers and inspect their logs using the appropriate Plane management workflow or centralized logging system.
• Configuration or upgrade failure
  Review recent configuration or deployment changes and compare them with the last known working state.

If the problem follows an upgrade, confirm whether the migrator completed successfully. A failed migrator means the upgrade should be treated as incomplete. Follow the supported troubleshooting or recovery path rather than assuming that retrying or rolling back is always appropriate.

These are starting points for investigation, not a complete incident-response playbook. The aim is to help the responder reach the right source of information quickly without embedding a large runbook into the article.

Keep enough operational evidence to explain how Plane is run

A production deployment is easier to operate when important decisions, changes, and recovery checks are documented instead of living only in individual memory.

Keep a lightweight operational record that helps another operator understand how Plane is configured, who owns key responsibilities, what changed, and whether recovery processes have been tested.

1. Record the important operational details

Keep track of:

• Major infrastructure and configuration decisions
• Deployment ownership
• Privileged-access ownership
• Backup responsibilities
• Restore-test results
• Upgrade and configuration history
• Monitoring and alert testing
• Incidents and follow-up actions

2. Make the record useful during troubleshooting

The record should help answer questions such as:

• When was the last restore test, and did it succeed?
• What Plane version was running before the problem appeared?
• What changed before the incident?
• Who owns the external database or object-storage recovery process?
• Were monitoring alerts tested after the last relevant change?

3. Keep it operational, not compliance-driven

This documentation is meant to make the deployment easier to troubleshoot, review, and hand over to another operator.

It should not be presented as proof that the deployment satisfies SOC 2, ISO 27001, HIPAA, or another compliance framework. Review frequency and retention should follow your organization’s own operating requirements.

Production hardening checklist for Plane on Docker

Before treating a self-hosted Plane deployment as production-ready, make sure the main operational areas covered in this guide have clear owners and working processes.

• Infrastructure: Decide where PostgreSQL, Redis, RabbitMQ, and object storage will run, and who is responsible for operating them.
• Ingress: Verify TLS, WebSocket support, forwarded headers, listener configuration, and upload limits across the full proxy path.
• Capacity: Start with the appropriate compute baseline, then monitor CPU, memory, disk, Docker images, and container logs as usage grows.
• Recovery: Know which data Plane's backup workflow covers, which external services require separate backups, and test restoration rather than relying only on successful backup jobs.
• Observability: Retain searchable logs, monitor the appropriate Plane health surface for the edition, and alert on host, dependency, backup, and certificate problems.
• Upgrades: Use setup.sh or prime-cli, back up PostgreSQL before upgrades, verify migrations, and check application health afterward.
• Access: Keep internal services private, restrict Docker and host access, and limit Plane administration to the people who need it.
• Incident readiness: Document ownership, backup locations, log-access paths, management tooling, and the first places an operator should check during an outage.
• Operational history: Keep a lightweight record of restore tests, upgrades, configuration changes, alerts, and incidents so the next operator has context.

The objective is not to add infrastructure for its own sake. It is to make the deployment understandable, recoverable, and diagnosable when something changes or fails.

Final thoughts

Running Plane reliably in production comes down to a few connected decisions: where your dependencies and persistent data live, how the deployment is exposed, how capacity and health are monitored, how recovery is handled, and how upgrades are controlled.

The goal is to make the deployment predictable to operate. Operators should know what Plane manages, what remains their responsibility, where to look when something fails, and how to recover without reconstructing the environment during an incident. Docker Compose remains a legitimate production deployment path when those operational foundations are in place.

If your team is evaluating self-hosted Plane for production, explore the Plane self-hosting docs or talk to our team about the deployment model that fits your infrastructure and operating requirements.

Frequently asked questions

Q1. Is self-hosted Plane on Docker suitable for production?

Docker-based self-hosting is a supported Plane deployment method. Production operation requires deliberate choices around infrastructure, capacity, backups, monitoring, upgrades, access, and operational ownership.

The quickstart gets the deployment running. Production hardening makes its failure and recovery paths explicit.

Q2. How much CPU and RAM does self-hosted Plane need?

For Community Edition, the baseline is 2 CPU cores and 4 GB RAM minimum, with 8 GB RAM recommended for production.

For Commercial Edition, use 4 CPU cores and 8 GB RAM as the starting baseline, then scale according to workload.

Actual requirements depend on concurrent activity, integrations, and the services running with the deployment.

Q3. Does Plane support external PostgreSQL, Redis, RabbitMQ, and object storage?

Yes. Plane can use documented external PostgreSQL, Redis-compatible cache, RabbitMQ, and S3-compatible object storage configurations.

When those services are external, their operation, monitoring, and any required backup or recovery responsibilities move to the operator or external provider rather than the Plane application host.

Q4. How should Plane on Docker be backed up?

Use the edition-specific Plane backup workflow for bundled services that it covers.

External PostgreSQL and object storage need their own provider- or operator-managed backup and recovery mechanisms. Other external supporting services should follow the recovery model defined for the deployment. Keep plane.env protected separately outside the Plane host, refresh that copy after relevant configuration changes, and test restore rather than relying only on successful backup jobs.

Q5. What should be monitored in a self-hosted Plane deployment?

Monitor:

• Application availability using the appropriate health-check method for the edition
• Host CPU and memory
• Disk usage
• Container state
• Backup completion
• Certificate expiry
• External dependency availability where appropriate

Retain container logs in a searchable system so they remain available after an incident.

Q6. How should Plane be upgraded on Docker?

Use setup.sh for Community Edition and prime-cli for Commercial Edition.

Before upgrading, back up PostgreSQL and preserve a current external copy of plane.env. For Community deployments, review the environment-variable changes surfaced through variables-upgrade.env.

After the upgrade, confirm that migrations completed, verify application health, run basic smoke tests, and record the version change.

Q7. Should Plane be placed behind an external reverse proxy?

Plane already ships with a Caddy-based reverse proxy, and Caddy is suitable for production use.

Organizations can still place their existing reverse proxy, load balancer, or WAF in front of Plane as part of their standard infrastructure architecture. When doing so, make sure WebSocket traffic, forwarded headers, listener ports, upload-size limits, and certificate handling are configured consistently across the full ingress path.