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You can download and install a specific version of the {{stack}} by replacing `<SPECIFIC.VERSION.NUMBER>` with the version number you want. For example, you can replace `<SPECIFIC.VERSION.NUMBER>` with {{version.stack.base}}.
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Then enroll and run an {{agent}}. You’ll need an enrollment token and the URL of the {{fleet-server}}. You can use the default enrollment token for your policy or create new policies and [enrollment tokens](/reference/fleet/fleet-enrollment-tokens.md) as needed.
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For more information on running {{agent}} with Docker, refer to [Run {{agent}} in a container](/reference/fleet/elastic-agent-container.md).
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It is critical to allocate enough memory and CPU capacity to handle configured limits. Resource requirements will vary depending on simultaneous workload and monitor complexity:
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**For browser monitors**: Start by allocating at least 2 GiB of memory and two cores _per browser instance_ to ensure consistent performance and avoid out-of-memory errors. Then adjust as needed.
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**For browser monitors**: Start by allocating at least 2 GiB of memory and two cores _per browser instance_ to ensure consistent performance and avoid out-of-memory errors. Then adjust as needed.
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**For tcp, http, icmp**: Much less memory is needed, start by allocating at least 512MiB of memory and two cores _globally_. While this will be enough to run a large number of lightweight monitors, it is recommended to track the resource usage and adjust accordingly.
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Example: For a private location expected to run 2 concurrent browser monitors and 100 HTTP checks, the recommended allocation is 2 * (2 GiB + 2 vCPU) + (512 MiB + 2 vCPU) => 4,5 GiB + 6 vCPU.
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### Known limitations on vertical scaling
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- A single private location will not scale beyond 10,000 monitors. Exceeding this number will result in agent degradation and inconsistent execution, regardless of the resources allocated.
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- Complex monitor configuration can disproportionately increase the private location policy size, leading to agent communication errors and degradation even if the limit mentioned above hasn't been reached.
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- Complex monitor configuration can disproportionately increase the private location policy size, leading to agent communication errors and degradation even if the limit mentioned above hasn't been reached.
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If you're facing one of these scenarios, it is likely that the private location has grown too large and needs to be split into smaller locations, each alloted a portion of the original location monitors.
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