Why Diting
Zero-touch, fully offline, able to act.
How zero-touch
No SDK, no in-app probe, no launch flag changes, no restarts. Observability comes from one agent on the host, the kernel and the network protocols themselves.
The frontend is the same story. Session replay is injected by the agent at the nginx or container layer. Frontend teams do not change code.
- Java, Go, Python and Node runtimes need no SDK
- Databases are parsed on the wire, no drivers
- Old kernels use a compatibility path, with each capability reported
Private is not offline
Many products support private deployment but still need a connection to the vendor side after installation. Cut the network and licensing, upgrades or parts of the product suffer.
Diting puts installation, upgrades, licensing and AI models in the offline bundle. The machine can stay off the public network forever.
| Capability | Diting | Dynatrace |
|---|---|---|
| Private deployment | Yes | Yes |
| Connection to public network | Not required | Required |
| Usable when disconnected | Yes | No |
| Offline licensing | Yes | Contract dependent |
| Offline upgrades | Yes | Manual import |
Seeing is not enough
Plenty of platforms observe. Fewer can act. Diting puts batch runs, file distribution, remote terminals, chaos experiments and CI/CD under one permission model.
AI can act, not only answer. It can operate adapted product pages and run actions you allow; anything beyond that is rejected and logged.
Who it fits
- Organizations with old systems they cannot change but must see
- Sites that cannot reach the public network but still want AI
- Platform teams responsible for observability, operations and delivery
Bring your system in
Tell us what you run: OS, kernel, public network or not, virtual machines or clusters. We will map the path in.