Dev

Mock Network Config Generator

The mock network config generator creates realistic, test-safe network configuration blocks — covering hosts, interfaces, firewall rules, and VPN peers — without any manual fabrication. When building network management dashboards, writing infrastructure documentation, or stress-testing a configuration parser, you need data that looks authentic: valid-format IP addresses, proper subnet masks, plausible MAC addresses, and protocol-specific fields. Generating that by hand for even a dozen entries wastes time and invites inconsistency. This tool produces structured config blocks on demand. Each output mirrors the format a real network device or management platform would use, including gateway addresses, CIDR notation, interface names, and protocol flags appropriate to the selected config type. You control how many blocks to generate and whether you need host records, interface definitions, firewall rules, or VPN peer entries. The generated data is completely safe for development and staging environments — none of the IP addresses correspond to live infrastructure, and no credentials or real routing information are embedded. That makes these configs ideal for populating test databases, seeding demo environments, or building training materials that need to look operational without exposing any real network topology. Whether you are prototyping a network inventory UI, writing Ansible playbooks against dummy hosts, or creating onboarding labs for new network engineers, having a fast source of plausible fake network configurations removes a consistent friction point from the workflow.

How to Use

  1. Set the Count field to the number of config blocks you need for your test or documentation task.
  2. Open the Config Type dropdown and select the format that matches your use case: host, interface, firewall rule, or VPN peer.
  3. Click Generate to produce all config blocks at once in the output panel below.
  4. Review the output to confirm the field structure matches your expected schema, then copy individual blocks or the full output.
  5. Paste the configs into your test fixture, documentation template, or seed script as needed.

Use Cases

  • •Seeding a CMDB demo with realistic host and subnet records
  • •Testing a firewall rule parser with varied field combinations
  • •Populating a network inventory UI with dummy interface data
  • •Building Ansible playbooks against safe, non-live host configs
  • •Creating VPN peer entries for integration test environments
  • •Generating subnet blocks for network simulation lab exercises
  • •Filling infrastructure wiki templates before real data is available
  • •Producing onboarding lab configs for new network engineers

Tips

  • →Generate firewall rule configs in batches of 20+ to get enough field variation for thorough parser edge-case testing.
  • →If you need strictly RFC 1918 private addresses, filter the output for 10.x, 172.16-31.x, or 192.168.x ranges before use.
  • →Combine host and interface outputs to build a two-layer inventory: hosts as the device layer and interfaces as the port layer.
  • →For VPN peer configs, generate at least two sets and pair them manually to simulate realistic tunnel endpoint relationships.
  • →Use the output as seed data in factories or fixtures files so your test suite always has deterministic-looking but varied network data.
  • →When demoing a network UI, generate configs across all types and mix them in your demo dataset to show how the interface handles diverse record formats.

FAQ

Are the generated IP addresses safe to use in test environments?

Yes. The generated IPs are randomly constructed and do not correspond to real infrastructure. They are safe for development, staging, and documentation use. However, some addresses may fall outside RFC 1918 private ranges, so if your testing requires strictly private IPs, review the output before use.

What config types does this generator support?

The generator supports multiple config types selectable from the Type dropdown, including host records, interface definitions, firewall rules, and VPN peer configs. Each type produces fields appropriate to that context — for example, firewall rules include protocol, port, and action fields, while VPN peers include endpoint and key-format fields.

Can I use the firewall rule output to test a config parser?

Yes. The firewall rule output follows a realistic field structure with protocol, source, destination, port, and action fields. It is well-suited for unit-testing parsers, validating regex patterns against config syntax, or checking how a UI renders different rule combinations.

How do I generate fake network configuration data in bulk?

Set the Count field to your desired number (up to the maximum), choose a Config Type, and click Generate. All blocks appear at once in the output panel. You can copy the entire output or individual blocks depending on your needs.

Do the generated configs include MAC addresses and subnet masks?

Host and interface config types include MAC addresses in standard colon-separated hex format and subnet masks in both dotted-decimal and CIDR notation. Firewall and VPN types omit MAC addresses since those fields are not relevant to those config formats.

Can I use these configs to populate a network simulation tool like GNS3 or EVE-NG?

You can use the generated data as a reference or starting point, but most simulation platforms require configs in their own specific syntax. Treat the output as realistic source material to adapt rather than drop-in configuration files.

Will the same config type always produce the same fields?

Yes — each config type produces a consistent field structure across all generated blocks, which is important for parser testing and schema validation. The values are randomised, but the keys and field order remain stable within a type.