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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 2 vCPU 8.0 GiB
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We tested using an AWS `m7i.large` instance type with 2 vCPUs, 8.0 GB of memory, and up to 12.5 Gbps of bandwidth. The tests ingested a single log file using both the <<output-elasticsearch-performance-tuning-settings,throughput and scale preset>> with self monitoring enabled.
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These tests are representative of use cases that attempt to ingest data as fast as possible. This does not represent the resource overhead when using {integrations-docs}/endpoint[{elastic-defend}].
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[options,header]
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|===
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| **CPU** | Under 2% total, including all monitoring processes
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