Telemetry ingestion, rule-chain processing and dashboard queries. Time the job and identify CPU, storage or external-service waits before replacing hardware.
Imports, processing and simultaneous users.Hårdvarukrav för ThingsBoard: RAM, CPU, lagring och telemetri, regler och PostgreSQL
Planera RAM, CPU, beständig lagring och tjänsteberoenden för ThingsBoard, med arbetslastbaserad dimensionering av ZimaOS, säkerhetskopior och praktiska maskinvaruval.
ThingsBoard hardware requirements at a glance
ThingsBoard's Docker guide separates proof-of-concept and production sizing. Database, queue and optional time-series components change the footprint.
- RAM
- 4 GB development/PoC; 8 GB small production; 16+ GB recommended production tier.
- CPU
- 1 core PoC; 2 cores small production; 4+ cores in the larger recommended tier.
- Storage
- Capacity depends on telemetry rate, retention and chosen PostgreSQL/Kafka/Cassandra topology.
- Required services
- The published tiers use PostgreSQL, adding Kafka for small production and Kafka/Cassandra in the larger recommendation.
- Main sizing variable
- Telemetry ingestion, rule-chain processing and dashboard queries.
- 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 ThingsBoard workload before selecting a server.
-
Official requirements
Choose the exact edition, stable release and supported container/runtime. The published tiers use PostgreSQL, adding Kafka for small production and Kafka/Cassandra in the larger recommendation.
-
Confirm your needs
Test a representative busy operation: Telemetry ingestion, rule-chain processing and dashboard queries. Record peak resident memory, CPU, disk latency and completion time, including other containers.
-
Leave room to grow
Place active state on reliable persistent storage. Telemetry database, queue state where required, configuration and retention-aware backups. 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. Select the edition and queue/storage topology explicitly; proof-of-concept requirements are not a production capacity promise.
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.
Use the requirements and scope above as a starting point, then validate ThingsBoard under its real workload. Application examples, build-time settings and per-container limits are not interchangeable with a whole-server minimum.
| Requirement | Official minimum | What this supports |
|---|---|---|
| RAM guidance | 4 GB development/PoC; 8 GB small production; 16+ GB recommended production tier. | Official guidance keeps its original test, recommendation or example scope. |
| CPU guidance | 1 core PoC; 2 cores small production; 4+ cores in the larger recommended tier. | Core counts do not predict a fixed user, device or document capacity. |
| Storage planning | Capacity depends on telemetry rate, retention and chosen PostgreSQL/Kafka/Cassandra topology. | Installation space is separate from retained content, working files and backups. |
| Service topology | The published tiers use PostgreSQL, adding Kafka for small production and Kafka/Cassandra in the larger recommendation. | Include every stateful companion service in the host budget. |
| Persistent state | Telemetry database, queue state where required, configuration and retention-aware backups. | An image rebuild or container replacement is not a backup. |
| Deployment boundary | Select the edition and queue/storage topology explicitly; proof-of-concept requirements are not a production capacity promise. | Check the linked project instructions for the selected edition and release. |
When to upgrade your hardware
Use observed ThingsBoard 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.Telemetry database, queue state where required, configuration and retention-aware backups. 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
Select the edition and queue/storage topology explicitly; proof-of-concept requirements are not a production capacity promise.
Check service configuration, I/O and network behavior before selecting a stronger CPU.Can it run on ZimaOS?
A matching current entry was not found in the reviewed official ZimaOS store source. Treat this as a Custom Install candidate and verify the selected upstream image, required services and host access.
Custom install ThingsBoard in ZimaOS
The published tiers use PostgreSQL, adding Kafka for small production and Kafka/Cassandra in the larger recommendation. Persist: Telemetry database, queue state where required, configuration and retention-aware backups.
Custom install ThingsBoard in the ZimaOS app ↗Use the official ThingsBoard deployment instructions
Keep the selected stable release, persistent paths and companion services aligned with upstream documentation.
Review ThingsBoard official installation ↗Check workload-specific deployment details
Select the edition and queue/storage topology explicitly; proof-of-concept requirements are not a production capacity promise.
Review ThingsBoard deployment details ↗Which Zima hardware fits ThingsBoard?
Start with the lowest reasonable host for the actual workload. Product specifications were checked against the current product pages.
Which workload best matches your ThingsBoard deployment?
Modest ThingsBoard 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 ThingsBoard workload | Telemetry ingestion, rule-chain processing and dashboard queries. |
|
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 | The published tiers use PostgreSQL, adding Kafka for small production and Kafka/Cassandra in the larger recommendation. |
|
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.
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Frequently asked questions
Answers to ThingsBoard RAM, CPU, storage, Docker, database and ZimaOS sizing questions.
How much RAM should I plan for ThingsBoard?
4 GB development/PoC; 8 GB small production; 16+ GB recommended production tier. Include ZimaOS, the application and its companion services rather than reserving the entire machine for one container.
What drives the CPU requirement?
1 core PoC; 2 cores small production; 4+ cores in the larger recommended tier. The workload to test is: Telemetry ingestion, rule-chain processing and dashboard queries.
Which data must survive a container update?
Telemetry database, queue state where required, configuration and retention-aware backups. Preserve a consistent database/file set and verify that your recovery procedure restores a working application.
What other services belong in the budget?
The published tiers use PostgreSQL, adding Kafka for small production and Kafka/Cassandra in the larger recommendation.
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?
Select the edition and queue/storage topology explicitly; proof-of-concept requirements are not a production capacity promise. Compare CPU saturation, memory pressure, disk latency and external-service waits during the same reproducible operation.
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 ThingsBoard 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.
