KitOps

61 posts in KitOps

Prompt Drift Is the New Shadow Deploy

Your model didn’t change. Your prompt did. Can you prove exactly what ran in production? KitOps v1.11 treats prompts as first-class release artifacts, closing the supply-chain gap between behavior changes and governed deployments.

ai - 21 min read

Deploy LLMs On-Prem: From Docker Model Runner to Kubernetes with Jozu Hub

Learn how to extract a model from Docker Model Runner, package it as a versioned ModelKit with KitOps, push to Jozu Hub, and deploy to Kubernetes using auto-generated Rapid Inference Containers — with full governance and audit trails.

KitOps - 16 min read

Automated AI Compliance Gates: From Training Data to Production with Cryptographic Proof

Learn how to build automated compliance gates for AI deployments using KitOps, Jozu Hub, and OPA. This tutorial walks through packaging, scanning, policy enforcement, and cryptographic attestation so every model in production can prove it belongs there.

ai - 1 min read

Business Wire – Jozu Assessed Awardable for Department of War Work in the CDAO’s Tradewinds Solutions Marketplace

KitOps - 12 min read

Audit Logging for ML Workflows with KitOps and MLflow

Learn how to build an end-to-end ML audit trail using MLflow for experiment tracking, KitOps for model packaging, and Jozu for centralized governance and visibility.

KitOps - 12 min read

Instant Rollbacks On-Prem & Edge with Jozu + KitOps

Learn how to implement instant ML model rollbacks using KitOps ModelKits. This guide covers three playbooks for Kubernetes, GitOps, and edge deployments that turn rollbacks into simple tag flips—reducing MTTR, limiting blast radius, and eliminating the need for image rebuilds.