Search Results for "drift"

Phoenix provides ML insights at lightning speed with zero-config observability for model drift, performance, and data quality. Phoenix is an Open Source ML Observability library designed for the Notebook. The toolset is designed to ingest model inference data for LLMs, CV, NLP and tabular datasets. It allows Data Scientists to quickly visualize their model data, monitor performance, track down issues & insights, and easily export to improve.

NetAlertX is a network visibility and asset intelligence framework for continuous device discovery and monitoring. It is designed for homelabs, IT teams, MSPs, NOCs, and distributed environments that need a centralized view of connected assets. The platform monitors devices, detects changes, tracks unauthorized hardware, and helps maintain a source of truth for network infrastructure. It supports discovery through methods such as arp-scan, Pi-hole imports, DHCP lease imports, UniFi...

...Talos reduces your attack surface. It's minimal, hardened and immutable. All API access is secured with mutual TLS (mTLS) authentication. Talos eliminates configuration drift, reduces unknown factors by employing immutable infrastructure ideology, and delivers atomic updates. Talos simplifies your architecture, increases your agility, and always delivers current stable Kubernetes and Linux versions. Talos consists of only a handful of binaries and shared libraries: just enough to run containerd and a small set of system services.

A lightweight control plane for Linux servers. No database, no cloud, no nonsense. One agent per host — everything else lives in flat JSON. v3.2.1 ships SNMP polling for agentless devices, MCP write tools for AI hosts, OIDC SSO, an actionable alerts inbox, and inbound webhooks + syslog.