Clicking the "AI Insight" button suggests config items tailored to your config node you currently work on.
In addition to the suggested config items, Kiponos suggests general insights relevant to your personal config context.
In the demo video, we see how the user creates the new "PostgreSql" config folder under "Database" and Kiponos AI suggests appropriate Postgres DB params plus general DB relevant insights.
Kiponos is a real-time config service, providing both Java and Python SDK based internally on permanent websocket connection with the server so your application works locally on the latest config data with zero latency.
With delta-update only and instant dispatch, you can modify any config item in real-time with no need to redeploy or restart your app. Everything is instantly updated while your app or server keeps running.
Grab your free account and SDK:
- Kiponos.io
- Java SDK (fully compatible with SpringBoot)
- Gradle:
implementation("io.kiponos:sdk-boot-3:4.4.0.250319") - Python SDK:
pip install kiponos-pysdk
Top comments (1)
The Python SDK allow AIOPS to modify model training without restart!
You simply modify any hyperparam online in your free dashboard account, and the Python SDK sees the changes instantly! thanks to the inner websocket constant connection.
No redeploy, no restart to your algo, not even a refresh is required!
Your Python app (or Java), can use the SDK to get("my-para") even inside loops in your algo without performance cost because the access is always local as the latest data is always dispatched via websockets in the background only when changes are done and only as delta-update.