> ## Documentation Index
> Fetch the complete documentation index at: https://docs.endorlabs.com/llms.txt
> Use this file to discover all available pages before exploring further.

<AgentInstructions>

## Submitting Feedback

If you encounter incorrect, outdated, or confusing documentation on this page, submit feedback:

POST https://docs.endorlabs.com/feedback

```json
{
  "path": "/setup-deployment/outpost/outpost-requirements/index",
  "feedback": "Description of the issue"
}
```

Only submit feedback when you have something specific and actionable to report.

</AgentInstructions>

# Outpost requirements

> Learn about the requirements for Outpost.

export const YamlTable = ({children, data: propData, content}) => {
  const KV_RE = /^([A-Za-z][A-Za-z0-9_()/#\s-]+?):\s*(.+)$/;
  const INLINE_MD_RE = /(\[([^\]]+)\]\(([^)]+)\))|(`([^`]+)`)|(\*\*([^*]+)\*\*)|(\*([^*]+)\*)/g;
  const YES_RE = /^-yes-$/i;
  const NO_RE = /^-no-$/i;
  const LIMITED_RE = /^-(limited|partial)-$/i;
  const SIMPLE_TAG_RE = /(<br\s*\/?>)|(<p\s*\/?>)|(-note-)|(-warning-)/gi;
  const tryParseKV = trimmed => {
    const m = KV_RE.exec(trimmed);
    return m ? {
      key: m[1],
      value: m[2].trim()
    } : null;
  };
  const registerKey = (key, seenKeys, orderedKeys) => {
    if (!seenKeys.has(key)) {
      orderedKeys.push(key);
      seenKeys.add(key);
    }
  };
  const flushEntry = (currentEntry, entries) => {
    if (Object.keys(currentEntry).length > 0) entries.push(currentEntry);
  };
  const parseDashPrefixed = (lines, entries, orderedKeys, seenKeys) => {
    let currentEntry = {};
    let inEntry = false;
    for (const line of lines) {
      const trimmed = line.trim();
      if (trimmed.startsWith('- ')) {
        if (inEntry) entries.push(currentEntry);
        currentEntry = {};
        inEntry = true;
        const kv = tryParseKV(trimmed.substring(2).trim());
        if (kv) {
          registerKey(kv.key, seenKeys, orderedKeys);
          currentEntry[kv.key] = kv.value;
        }
      } else if (inEntry && trimmed !== '') {
        const kv = tryParseKV(trimmed);
        if (kv) {
          registerKey(kv.key, seenKeys, orderedKeys);
          currentEntry[kv.key] = kv.value;
        }
      }
    }
    flushEntry(currentEntry, entries);
  };
  const parseBlankSeparated = (lines, entries, orderedKeys, seenKeys) => {
    let currentEntry = {};
    let inEntry = false;
    for (const line of lines) {
      const trimmed = line.trim();
      if (trimmed === '') {
        if (inEntry) {
          flushEntry(currentEntry, entries);
          currentEntry = {};
          inEntry = false;
        }
        continue;
      }
      const kv = tryParseKV(trimmed);
      if (!kv) continue;
      const isNewEntry = !line.startsWith(' ') && !line.startsWith('\t');
      if (isNewEntry && inEntry && Object.keys(currentEntry).length > 0) {
        entries.push(currentEntry);
        currentEntry = {};
      }
      registerKey(kv.key, seenKeys, orderedKeys);
      currentEntry[kv.key] = kv.value;
      inEntry = true;
    }
    flushEntry(currentEntry, entries);
  };
  const normalizeEntries = (entries, orderedKeys) => entries.map(entry => {
    const filled = {};
    for (const key of orderedKeys) filled[key] = entry[key] || '';
    return filled;
  });
  const parseYamlTableContent = contentStr => {
    if (!contentStr) return [];
    const entries = [];
    const orderedKeys = [];
    const seenKeys = new Set();
    const lines = contentStr.split('\n');
    if (lines.some(line => line.trim().startsWith('- '))) {
      parseDashPrefixed(lines, entries, orderedKeys, seenKeys);
    } else {
      parseBlankSeparated(lines, entries, orderedKeys, seenKeys);
    }
    return normalizeEntries(entries, orderedKeys);
  };
  const processText = text => {
    if (!text) return text;
    const parts = [];
    let keyIndex = 0;
    let lastIndex = 0;
    let match;
    while ((match = INLINE_MD_RE.exec(text)) !== null) {
      if (match.index > lastIndex) parts.push(text.slice(lastIndex, match.index));
      if (match[1]) {
        parts.push(<a key={keyIndex++} href={match[3]}>{match[2]}</a>);
      } else if (match[4]) {
        parts.push(<code key={keyIndex++}>{match[5]}</code>);
      } else if (match[6]) {
        parts.push(<strong key={keyIndex++}>{match[7]}</strong>);
      } else if (match[8]) {
        parts.push(<em key={keyIndex++}>{match[9]}</em>);
      }
      lastIndex = match.index + match[0].length;
    }
    if (lastIndex < text.length) parts.push(text.slice(lastIndex));
    if (parts.length === 0) return text;
    const keyRef = {
      current: keyIndex
    };
    return expandHtmlTags(parts, keyRef);
  };
  const processBadges = text => {
    if (!text || typeof text !== 'string') return text;
    if (YES_RE.test(text)) return <span className="yt-badge-yes" role="img" aria-label="Supported" title="Supported">✓</span>;
    if (NO_RE.test(text)) return <span className="yt-badge-no" role="img" aria-label="Not supported" title="Not supported">✗</span>;
    if (LIMITED_RE.test(text)) return <span className="yt-badge-limited" role="img" aria-label="Partially supported" title="Partially supported">◐</span>;
    return processText(text);
  };
  const expandSimpleTags = (str, keyRef) => {
    const result = [];
    let last = 0;
    SIMPLE_TAG_RE.lastIndex = 0;
    let m;
    while ((m = SIMPLE_TAG_RE.exec(str)) !== null) {
      if (m.index > last) result.push(str.slice(last, m.index));
      if (m[1]) {
        result.push(<br key={keyRef.current++} />);
      } else if (m[2]) {
        result.push(<br key={keyRef.current++} />, <br key={keyRef.current++} />);
      } else if (m[3]) {
        result.push(<span key={keyRef.current++} className="yt-badge-note" style={{
          fontWeight: 600
        }}>Note: </span>);
      } else if (m[4]) {
        result.push(<span key={keyRef.current++} className="yt-badge-warning" style={{
          fontWeight: 600
        }}>Warning: </span>);
      }
      last = m.index + m[0].length;
    }
    if (last < str.length) result.push(str.slice(last));
    return result;
  };
  const expandHtmlTags = (chunks, keyRef) => {
    const out = [];
    for (const chunk of chunks) {
      if (typeof chunk === 'string') {
        out.push(...expandSimpleTags(chunk, keyRef));
      } else {
        out.push(chunk);
      }
    }
    return out;
  };
  const extractText = node => {
    if (node === null || node === undefined) return '';
    if (typeof node === 'string') return node;
    if (typeof node === 'number') return String(node);
    if (typeof node === 'boolean') return '';
    if (Array.isArray(node)) return node.map(extractText).join('');
    if (node && typeof node === 'object' && node.type) {
      const props = node.props || ({});
      if (typeof props.children === 'string') return props.children;
      if (props.children) return extractText(props.children);
      return '';
    }
    return String(node || '');
  };
  const [mounted, setMounted] = useState(false);
  useEffect(() => {
    setMounted(true);
  }, []);
  const data = useMemo(() => {
    if (propData) return propData;
    if (content && typeof content === 'string') return parseYamlTableContent(content);
    if (!children) return [];
    if (typeof children === 'string') return parseYamlTableContent(children);
    const childrenArray = Array.isArray(children) ? children : [children];
    return parseYamlTableContent(childrenArray.map(extractText).join('').trim());
  }, [children, propData, content]);
  const columns = useMemo(() => {
    if (!data || data.length === 0) return [];
    const firstRow = data[0];
    if (!firstRow || typeof firstRow !== 'object') return [];
    return Object.keys(firstRow);
  }, [data]);
  if (!mounted) return null;
  if (!data || data.length === 0) return null;
  const rowKey = row => columns.map(c => row[c] || '').join('|');
  return <table>
      <thead>
        <tr>
          {columns.map(col => <th key={col}>{col.replaceAll('_', ' ')}</th>)}
        </tr>
      </thead>
      <tbody>
        {data.map(row => <tr key={rowKey(row)}>
            {columns.map(col => <td key={col}>{processBadges(row[col])}</td>)}
          </tr>)}
      </tbody>
    </table>;
};

You need a Kubernetes cluster with nodes that have at least 8 cores and 32 GB of RAM. Nodes should be running Linux.

You must create a namespace in your Kubernetes cluster to deploy Outpost. Use this namespace when you [configure Outpost integration](/setup-deployment/outpost/outpost-configuration) in Endor Labs.

Outpost currently supports the following Kubernetes distributions:

* Azure Kubernetes Service (AKS)
* Google Kubernetes Engine (GKE)
* Amazon Elastic Kubernetes Service (EKS)
* Self-hosted Kubernetes clusters

## Kubernetes cluster requirements for Outpost

The total number of nodes in the cluster depends on the number of projects that you want to scan and the number of scans that you want to run in a day.

The total scans per node per day (24 hours) is calculated based on the following formula.

```text theme={null}
Total scans per node per day = (Node memory ÷ Pod memory request - 1) × (24 ÷ Average scan duration)
```

Pod memory request is the memory required for running endorctl. The Outpost scheduler sets the pod memory requests. Typically, the pod memory request is 8 GB. For demanding ecosystems with call graph enabled, the Outpost scheduler sets the pod memory request to 16 GB.

You can use the following formula to calculate the number of nodes required.

```text theme={null}
Number of nodes = Total projects ÷ Total scans per node per day
```

The following table shows the number of nodes required for different combinations of projects and scans.

<YamlTable>
  {`


    - Number_of_projects: 140
    Pod_Memory_Request: 8 GB
    Average_Scan_Duration_(in_hours): 1
    Scans_per_node_per_day: 72
    Node_specification: 8 cores, 32 GB RAM
    Number_of_nodes: 2
    - Number_of_projects: 1000
    Pod_Memory_Request: 8 GB
    Average_Scan_Duration_(in_hours): 1
    Scans_per_node_per_day: 72
    Node_specification: 8 cores, 32 GB RAM
    Number_of_nodes: 14
    - Number_of_projects: 1000
    Pod_Memory_Request: 8 GB
    Average_Scan_Duration_(in_hours): 1
    Scans_per_node_per_day: 360
    Node_specification: 32 cores, 128 GB RAM
    Number_of_nodes: 3


    `}
</YamlTable>

## Storage requirements for Outpost

Storage requirements for Outpost depend on the number of projects that you want to scan and the size of the repositories. Storage requirements increase in direct proportion to the number of concurrent scans.

You can use the following formula to calculate the storage requirements if you are running `N` number of concurrent scans.

```text theme={null}
Storage requirements = Sum of the largest N project sizes + extra space for other files
```

For example:

* **Project sizes:** 10 GB, 8 GB, 6 GB, 4 GB, 2 GB
* **Concurrent scans:** 3
* **Storage calculation:** 10 GB + 8 GB + 6 GB + extra space
* **Total storage required:** 24 GB + extra space for other files

We recommend that you allocate 500 GB of storage if you have multiple large projects and want to run multiple concurrent scans.

## Network requirements for Outpost

Ensure the following network requirements are met for Outpost:

* **Egress Access:** Required. Allow outbound traffic to Endor Labs platform, toolchains, and package managers.
* **DNS Resolution:** Required. Allow list of necessary domains.
* **Network Policies:** Required. Allow outbound traffic to Endor Labs platform, toolchains, and package managers.