event ingestion, data retention, query scans, refresh frequency and dashboard concurrency. Time the job and identify CPU, storage or external-service waits before replacing hardware.
Imports, processing and simultaneous users.Requisitos de hardware do Ghostfolio: RAM, CPU, armazenamento e ingestão, consultas e retenção
Planeie a RAM, CPU, o armazenamento persistente e as dependências de serviços do Ghostfolio, com dimensionamento do ZimaOS baseado na carga de trabalho, cópias de segurança e escolhas práticas de hardware.
Ghostfolio hardware requirements at a glance
Ghostfolio supports personal portfolio records, external data imports and dashboards. Size it around event ingestion, data retention, query scans, refresh frequency and dashboard concurrency, including the complete service stack and durable data. The query/analytical backend can dominate both RAM and storage. Sample or expire unnecessary events and benchmark a real reporting query before increasing resources.
- RAM
- The linked source does not establish a fixed numerical whole-host baseline for this complete workload. Size the full stack during the busy operation described below.
- CPU
- The linked source does not establish a fixed numerical whole-host baseline for this complete workload. Measure CPU use during realistic activity.
- Storage
- Persist events, metadata, analytical database/indexes, imported data and retained reports.
- Required services
- Follow the service topology in the linked upstream deployment for the chosen edition; include every required database, worker and storage service. The repository references PostgreSQL, Redis / Valkey. These may be integrations or alternative backends; install only the services required by your selected topology.
- Main sizing variable
- event ingestion, data retention, query scans, refresh frequency and dashboard concurrency.
- Practical Zima starting point
- ZimaBoard 2 1664 with SSD-backed active state is an editorial starting point for modest use. Include the OS and all companion services; it is not a measured capacity guarantee.
From official requirements to the right setup
Plan the complete Ghostfolio workload before selecting a server.
-
Official requirements
Choose the exact edition, stable release and supported container/runtime. Follow the service topology in the linked upstream deployment for the chosen edition; include every required database, worker and storage service. The repository references PostgreSQL, Redis / Valkey. These may be integrations or alternative backends; install only the services required by your selected topology.
-
Confirm your needs
Test a representative busy operation: event ingestion, data retention, query scans, refresh frequency and dashboard concurrency. Record peak resident memory, CPU, disk latency and completion time, including other containers.
-
Leave room to grow
Place active state on reliable persistent storage. Persist events, metadata, analytical database/indexes, imported data and retained reports. Budget working space for an upgrade or import and test recovery before relying on the deployment.
-
Run it on ZimaOS
On ZimaOS, use a compatible amd64 container through Custom Install and reproduce all required services, volume mappings and device access. The query/analytical backend can dominate both RAM and storage. Sample or expire unnecessary events and benchmark a real reporting query before increasing resources.
Check every playback client
- Exact edition and stable release
- Compatible amd64 image/runtime
- All required companion services
- Realistic peak activity
- Persistent data and file ownership
- Free host ports and reachable URLs
- Working space and backup retention
- Successful database/file restore
Official minimum requirements
Reviewed October 30, 2026 against the linked upstream deployment documentation. Numerical values retain their stated minimum, recommendation or example scope; select release-compatible instructions before installation.
The query/analytical backend can dominate both RAM and storage. Sample or expire unnecessary events and benchmark a real reporting query before increasing resources. Numerical examples above retain their stated deployment scope; co-hosted services and independent backups need additional capacity.
| Requirement | Official minimum | What this supports |
|---|---|---|
| RAM guidance | The linked source does not establish a fixed numerical whole-host baseline for this complete workload. Size the full stack during the busy operation described below. | Official guidance keeps its original test, recommendation or example scope. |
| CPU guidance | The linked source does not establish a fixed numerical whole-host baseline for this complete workload. Measure CPU use during realistic activity. | Core counts do not predict a fixed user, device or document capacity. |
| Storage planning | Persist events, metadata, analytical database/indexes, imported data and retained reports. | Installation space is separate from retained content, working files and backups. |
| Service topology | Follow the service topology in the linked upstream deployment for the chosen edition; include every required database, worker and storage service. The repository references PostgreSQL, Redis / Valkey. These may be integrations or alternative backends; install only the services required by your selected topology. | Include every stateful companion service in the host budget. |
| Persistent state | Persist events, metadata, analytical database/indexes, imported data and retained reports. | An image rebuild or container replacement is not a backup. |
| Deployment boundary | The query/analytical backend can dominate both RAM and storage. Sample or expire unnecessary events and benchmark a real reporting query before increasing resources. | Check the linked project instructions for the selected edition and release. |
When to upgrade your hardware
Use observed Ghostfolio workload pressure to decide when an upgrade is warranted.
Busy operations exceed the available window
The complete stack runs short of memory
Persistent data approaches available capacity
Inspect the application and each required service for OOM events, sustained swap or growing queues. Reduce unnecessary concurrency before adding capacity.
Shared hosts and background work.Persist events, metadata, analytical database/indexes, imported data and retained reports. Track primary state and backup retention separately.
Long-lived installations and growing collections.Plan hardware growth with confidence
Address storage, memory, compute and deployment limits separately.
Use suitable active storage
Put latency-sensitive application/database state on durable local SSD storage and keep recoverable copies.
SATA or PCIe SSD according to measured data growth.Add memory for the complete stack
Choose a higher-RAM host when peak application and companion-service usage leaves inadequate OS headroom.
ZimaBoard 2 1664 or ZimaCube 2 Pro according to the measured constraint.Separate capacity from compute
A multi-drive system helps when retained content and backup storage are the problem; it is not automatically a faster application.
ZimaCube 2 when a broader multi-drive workload justifies it.Fix the observed bottleneck
The query/analytical backend can dominate both RAM and storage. Sample or expire unnecessary events and benchmark a real reporting query before increasing resources.
Check service configuration, I/O and network behavior before selecting a stronger CPU.Can it run on ZimaOS?
Official one-click ZimaOS availability has not been certified for this guide. Use the supported upstream runtime and service topology; consider Custom Install only when a maintained compatible container and all required host capabilities are available.
Custom install Ghostfolio in ZimaOS
Follow the service topology in the linked upstream deployment for the chosen edition; include every required database, worker and storage service. The repository references PostgreSQL, Redis / Valkey. These may be integrations or alternative backends; install only the services required by your selected topology. Persist: Persist events, metadata, analytical database/indexes, imported data and retained reports.
Custom install Ghostfolio in the ZimaOS app ↗Use the official Ghostfolio deployment instructions
Keep the selected stable release, persistent paths and companion services aligned with upstream documentation.
Review Ghostfolio official installation ↗Check workload-specific deployment details
The query/analytical backend can dominate both RAM and storage. Sample or expire unnecessary events and benchmark a real reporting query before increasing resources.
Review Ghostfolio deployment details ↗Which Zima hardware fits Ghostfolio?
Start with the lowest reasonable host for the actual workload. Product specifications were checked against the current product pages.
Which workload best matches your Ghostfolio deployment?
Modest Ghostfolio deployment
Start with durable active data and a measured whole-stack memory budget.
- Workload optionZimaBoard 2 1664
Heavier jobs or more companion applications
Choose added memory or compute only when observed peaks justify the change.
- Workload optionZimaCube 2 Pro
These are practical workload recommendations, not official app requirements, compatibility certification, measured capacity limits or performance guarantees. Include all co-hosted services and independent backups.
| Zima hardware | Best for | Example workload | Core configuration | Recommended boundary | Next step |
|---|---|---|---|---|---|
| ZimaBoard 2 1664 | Modest Ghostfolio workload | event ingestion, data retention, query scans, refresh frequency and dashboard concurrency. |
|
This is an editorial host choice, not an official app minimum or a guaranteed user/device capacity. | Get Now |
| ZimaCube 2 Pro | More processing or shared-service headroom | Follow the service topology in the linked upstream deployment for the chosen edition; include every required database, worker and storage service. The repository references PostgreSQL, Redis / Valkey. These may be integrations or alternative backends; install only the services required by your selected topology. |
|
Size the combined stack and active working set; more RAM does not fix remote API limits or missing dependencies. | Get Now |
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Frequently asked questions
Answers to Ghostfolio RAM, CPU, storage, Docker, database and ZimaOS sizing questions.
How much RAM should I plan for Ghostfolio?
The linked source does not establish a fixed numerical whole-host baseline for this complete workload. Size the full stack during the busy operation described below. Include ZimaOS, the application and its companion services rather than reserving the entire machine for one container.
What drives the CPU requirement?
The linked source does not establish a fixed numerical whole-host baseline for this complete workload. Measure CPU use during realistic activity. The workload to test is: event ingestion, data retention, query scans, refresh frequency and dashboard concurrency.
Which data must survive a container update?
Persist events, metadata, analytical database/indexes, imported data and retained reports. Preserve a consistent database/file set and verify that your recovery procedure restores a working application.
What other services belong in the budget?
Follow the service topology in the linked upstream deployment for the chosen edition; include every required database, worker and storage service. The repository references PostgreSQL, Redis / Valkey. These may be integrations or alternative backends; install only the services required by your selected topology.
Does this workload need a dedicated GPU?
A dedicated GPU is not assumed for the core workflow described here. Optional AI, acceleration or media-processing integrations must be evaluated separately against the selected backend.
Can I deploy it on ZimaOS?
Use an amd64 container and the current upstream service topology through Custom Install when a suitable maintained image is available. Container availability alone is not a compatibility certification.
What should I check before upgrading hardware?
The query/analytical backend can dominate both RAM and storage. Sample or expire unnecessary events and benchmark a real reporting query before increasing resources. Measure the same representative operation before and after a configuration or hardware change.
Which Zima device is a practical starting point?
ZimaBoard 2 1664 is the editorial starting point for this modest deployment. Choose ZimaCube 2 Pro for measured memory/processing pressure or broader shared services; retained data determines storage expansion.
What sources informed this Ghostfolio hardware guide?
This guide was reviewed against the linked project deployment documentation on October 30, 2026. Zima device choices are editorial workload guidance, separate from upstream requirements and measured performance.
