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The {agent} resources consumption is influenced by the number of integration and the environment its been running on.
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Using our lab environment as an example, we can observe the following resource consumption:
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The following are the minimum system requirements for installing {agent}.
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// lint ignore mem
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[discrete]
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=== CPU and RSS memory size
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// lint ignore 2vcpu 1gb
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Minimum requirements have been determined by running the {agent} on a GCP `e2-micro` instance (2vCPU/1GB).
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The {agent} used the default policy, running the system integration and self-monitoring.
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// lint ignore 4 vCPU 16.0 GiB We tested in AWS m7i.xlarge instance type that has 4 vCPUs, 16.0 GiB of memory and up to 12.5 Gibps of bandwidth. Ingesting a single log file, running with the throughput preset with self-monitoring enabled.
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|===
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| **CPU** | Under 2% total, including all monitoring processes
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| **RSS memory size** | 400 MB
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| **CPU** | ~40% total, including all monitoring processes
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| **RSS memory size** | ~310 MB
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|===
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Adding integrations will increase the memory used by the agent and its processes.
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