parallel jobs, task duration, browser sessions and separately executed scripts. Time the job and identify CPU, storage or external-service waits before replacing hardware.
Imports, processing and simultaneous users.Kestraのハードウェア要件: RAM、CPU、ストレージ、ワーカー、同時ジョブ数
KestraのRAM、CPU、永続ストレージ、サービス間の依存関係を計画し、ワークロードに応じたZimaOSのサイズ選定、バックアップ、実用的なハードウェア選択を行いましょう。
Kestra hardware requirements at a glance
Kestra supports workflow definitions, task scheduling and execution state. Size it around parallel jobs, task duration, browser sessions and separately executed scripts, including the complete service stack and durable data. A scheduler is smaller than the jobs it starts. Include worker processes, browser/model integrations and external API limits; bound concurrency before adding more workers.
- RAM
- At least 4 GiB in upstream system requirements; executed jobs add their own working sets.
- CPU
- At least 2 vCPU in upstream system requirements.
- Storage
- Persist workflow metadata, internal storage, logs and retained task input/output.
- 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 Redis / Valkey. These may be integrations or alternative backends; install only the services required by your selected topology.
- Main sizing variable
- parallel jobs, task duration, browser sessions and separately executed scripts.
- Practical Zima starting point
- ZimaBoard 2 832 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 Kestra 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 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: parallel jobs, task duration, browser sessions and separately executed scripts. 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 workflow definitions, credentials, job metadata, logs and retained input/output artifacts. 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 upstream baseline is at least 2 vCPU and 4 GiB memory. Workflow task containers and external executions add resources beyond the orchestrator itself.
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 upstream baseline is at least 2 vCPU and 4 GiB memory. Workflow task containers and external executions add resources beyond the orchestrator itself. 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 | At least 4 GiB in upstream system requirements; executed jobs add their own working sets. | Official guidance keeps its original test, recommendation or example scope. |
| CPU guidance | At least 2 vCPU in upstream system requirements. | Core counts do not predict a fixed user, device or document capacity. |
| Storage planning | Persist workflow metadata, internal storage, logs and retained task input/output. | 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 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 workflow definitions, credentials, job metadata, logs and retained input/output artifacts. | An image rebuild or container replacement is not a backup. |
| Deployment boundary | The upstream baseline is at least 2 vCPU and 4 GiB memory. Workflow task containers and external executions add resources beyond the orchestrator itself. | Check the linked project instructions for the selected edition and release. |
When to upgrade your hardware
Use observed Kestra 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 workflow definitions, credentials, job metadata, logs and retained input/output artifacts. 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 2 832 or ZimaBoard 2 1664 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 upstream baseline is at least 2 vCPU and 4 GiB memory. Workflow task containers and external executions add resources beyond the orchestrator itself.
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 Kestra 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 Redis / Valkey. These may be integrations or alternative backends; install only the services required by your selected topology. Persist: Persist workflow definitions, credentials, job metadata, logs and retained input/output artifacts.
Custom install Kestra in the ZimaOS app ↗Use the official Kestra deployment instructions
Keep the selected stable release, persistent paths and companion services aligned with upstream documentation.
Review Kestra official installation ↗Check workload-specific deployment details
The upstream baseline is at least 2 vCPU and 4 GiB memory. Workflow task containers and external executions add resources beyond the orchestrator itself.
Review Kestra deployment details ↗Which Zima hardware fits Kestra?
Start with the lowest reasonable host for the actual workload. Product specifications were checked against the current product pages.
Which workload best matches your Kestra deployment?
Modest Kestra deployment
Start with durable active data and a measured whole-stack memory budget.
- Workload optionZimaBoard 2 832
Heavier jobs or more companion applications
Choose added memory or compute only when observed peaks justify the change.
- Workload optionZimaBoard 2 1664
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 2 832 | Modest Kestra workload | parallel jobs, task duration, browser sessions and separately executed scripts. |
|
This is an editorial host choice, not an official app minimum or a guaranteed user/device capacity. | Get Now |
| ZimaBoard 2 1664 | 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 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 |
What the Press Says
Highlights from trusted reviewers worldwide.
“ZimaCube 2: Not just another NAS, tested with 25TB storage, local AI agents, 4K transcoding, and real homelab workflows.”Read full review
“The ZimaBoard 2 is a compact x86 server board that can be turned into a mini NAS, home server, media box, or self-hosting hub.”Read full review
“ZimaCube 2: A modern, high-performance NAS with plenty of room to grow—built for users who want more than basic storage.”Read full review
“Coverage focused on ZimaCube 2's open hardware foundation, no monthly fee, and self-hosting flexibility.”Read full review
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Avaliação ZimaBoard 2
Construí um servidor de uso pessoal. O desempenho está muito bom e funciona perfeitamente onde quer que eu esteja. A surpresa é não dependermos de grandes estruturas para termos nosso próprio servidor de dados. Como iniciante, estou gostando bastante do ZimaOS, pois ele é simples e eficiente.
Frequently asked questions
Answers to Kestra RAM, CPU, storage, Docker, database and ZimaOS sizing questions.
How much RAM should I plan for Kestra?
At least 4 GiB in upstream system requirements; executed jobs add their own working sets. Include ZimaOS, the application and its companion services rather than reserving the entire machine for one container.
What drives the CPU requirement?
At least 2 vCPU in upstream system requirements. The workload to test is: parallel jobs, task duration, browser sessions and separately executed scripts.
Which data must survive a container update?
Persist workflow definitions, credentials, job metadata, logs and retained input/output artifacts. 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 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?
Accelerator needs depend on the selected inference, synthesis, browser or media backend. The upstream baseline is at least 2 vCPU and 4 GiB memory. Workflow task containers and external executions add resources beyond the orchestrator itself.
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 upstream baseline is at least 2 vCPU and 4 GiB memory. Workflow task containers and external executions add resources beyond the orchestrator itself. Measure the same representative operation before and after a configuration or hardware change.
Which Zima device is a practical starting point?
ZimaBoard 2 832 is the editorial starting point for this modest deployment. Choose ZimaBoard 2 1664 for measured memory/processing pressure or broader shared services; retained data determines storage expansion.
What sources informed this Kestra 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.
