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You can monitor a computer with less than 50 MB of RAM by keeping the endpoint role narrow: run a lightweight security agent, then send selected events to a separately provisioned system for storage, search, alerting, and response. Wazuh says its endpoint agent uses 35 MB of RAM on average, but that is not the memory requirement for the complete Wazuh platform.
A SIEM or security operations workflow is more than an endpoint agent. Wazuh’s central deployment includes a server, indexer, and dashboard; its quickstart recommends 8 GiB of RAM for a same-host setup covering 1–25 agents. Treat under 50 MB as a constraint for an endpoint agent or small utility—not a footprint for a complete SIEM or SOAR stack.
What does “under 50 MB” cover?
It covers a constrained endpoint component, not the full security operations environment. An endpoint agent collects selected data from a computer and communicates with a central server. The central environment performs work such as receiving events, indexing and searching them, displaying dashboards, and supporting analysis.
Wazuh describes its agent this way: “The Wazuh agent is multi-platform and runs on the endpoints that you want to monitor.” Wazuh states that the agent requires 35 MB of RAM on average. That vendor-published average is not a guaranteed peak or an independent benchmark, so actual use can differ by operating system, configuration, and workload. See the Wazuh agent installation documentation.
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The central components have a different resource scale. Wazuh’s current quickstart recommends 8 GiB of RAM for a same-host central deployment covering 1–25 agents. Its server installation guide lists 2 GB as the minimum for the server component; that minimum is not a sizing recommendation for the entire server, indexer, and dashboard stack. Capacity needs also depend on endpoint count, event and alert volume, storage, and architecture. See the Wazuh quickstart and Wazuh server installation guide.
| Component or deployment | Published memory figure | What the figure means |
|---|---|---|
| Wazuh endpoint agent | 35 MB on average | Agent usage as stated by Wazuh; not a peak guarantee or full-platform requirement. Source |
| Wazuh server component | 2 GB minimum | Minimum listed for the server component, not the complete central stack. Source |
| Wazuh same-host quickstart, 1–25 agents | 8 GiB recommended | Quickstart recommendation for the central deployment, not for an individual endpoint agent. Source |
Can a SIEM run on a low-memory device?
Not as a complete, general-purpose stack within a strict 50 MB RAM budget. The endpoint can collect and forward selected telemetry, but central storage, indexing, dashboards, and orchestration need their own resource budget. Put those functions on a separate host or managed service sized for the event volume and retention you require.
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This division also clarifies the difference between a security agent and a SIEM server:
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- Security agent: runs on a monitored endpoint, gathers configured endpoint data, and sends it to a central environment. Its resource use is local to that endpoint.
- SIEM server and related services: receive and analyze events from endpoints and other sources, with storage and indexing demands that grow with data volume and retention.
How to build a lean monitoring workflow
- Set the boundary. Reserve the tight memory limit for the endpoint agent or a narrowly scoped utility. Keep search, indexing, dashboards, and orchestration on separately sized infrastructure.
- Choose telemetry for a reason. Decide which security questions you need to answer, then enable only the relevant logs and file or system monitoring. Watch endpoint load and log volume; remove collection that is noisy, redundant, or not useful to an investigation.
- Forward events securely. Use the agent-to-server channel and protect credentials and network paths. Keep local buffering and retention proportionate to the endpoint’s memory and storage constraints.
- Begin with a small set of detections. Select Sigma rules whose intended log sources match the data you actually collect. Convert them for your chosen backend, check field mappings, test them against real events, and tune expected false positives. Preserve rule provenance and version history.
- Triage with context. Sigma severity values help prioritize attention; the specification recommends immediate review for high and critical detections. Check related endpoint or network events before escalating, and record an owner, next action, and supporting evidence for each alert.
- Add network visibility only where it fits. Suricata can provide signature-based IDS/IPS, protocol logging, file extraction, and EVE JSON output for integration with other tools. A separate sensor can send selected EVE JSON events to the analysis environment. The project’s feature documentation describes capabilities, not a memory or throughput guarantee for a sub-50-MB endpoint. See Suricata features.
- Operate and check the pipeline. Track agent health, missed or dropped events, alert noise, and whether response actions are completed. Vendor sizing figures are starting points, not performance guarantees for a particular environment.
Make detections portable without assuming they will work unchanged
Sigma provides a way to express detections for logs across supported backends, but portability does not eliminate implementation work. A rule depends on an intended log source and detection logic; your data must contain the relevant events and map fields as expected. Test rules against your actual source and backend, then review false positives before relying on them operationally. The Sigma getting-started documentation states that sigma-cli requires Python 3.9 or later.
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Keep a record of which rule version is deployed, which backend conversion was used, and any local tuning. Without that context, a detection may silently stop matching after changes to event collection or field mappings.
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Compare designs by the component a memory figure covers, the visibility they provide, and what they require centrally. An agent and a network sensor answer different questions; neither replaces central analysis.
- Memory scope: distinguish endpoint-agent use from the requirements of the central server, indexer, and dashboard.
- Visibility: endpoint telemetry shows activity on a monitored computer; network monitoring observes traffic at a sensor location.
- Central capacity: account for event volume, indexing, retention, endpoint count, and architecture rather than extrapolating from agent RAM.
- Detection fit: confirm rules match available log sources, backend support, and field mappings.
- Operational burden: include false-positive review, alert ownership, missed-event checks, and response follow-through.
Suricata’s project page listed stable version 8.0.7, released September 15, 2026, when accessed October 7, 2026. Version numbers and documentation can change; consult the linked project page for current details.
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