Release History & Changelog

This document outlines the release history, new features, and technical updates for the LIKPI Fast & Light CMDB.

Version 1.0.0 (Initial Release)

Release Date: May 2026

Welcome to the inaugural release of the NextGen LIKPI CMDB! Version 1.0 introduces a massive suite of enterprise-grade features designed to provide a highly scalable, AI-driven, and event-automated system of record for modern IT infrastructures.

Major Features & Capabilities

Core Architecture & Data Management * Dynamic Ontology: Complete support for custom CI Classes and schema-less extended attributes stored securely via PostgreSQL JSONB. * Dataset Partitioning: Native PostgreSQL table partitioning separating Staging (e.g., SANDBOX) and PRODUCTION datasets for massive scalability. * Directional Relationships: Enforced Source-to-Target cardinality for accurate topology mapping.

Advanced Reconciliation Engine (Activity Engine) * Identification Rules: Automated deduplication of incoming CIs based on configurable matching criteria. * Granular Precedence: Multi-tier conflict resolution prioritizing data sources at the Dataset, Class, or individual Attribute level. * Time-Decay Data Aging: Automated degradation of data “trustworthiness” based on configurable grace periods, preventing stale discovery data from permanently locking attributes.

Security, Identity, & Access Management (IAM) * Hybrid Authentication: Seamless support for Local (Bcrypt) and Enterprise Directory (LDAP/LDAPS) user accounts. * Stateless Sessions: Lightning-fast, JWT-based authentication eliminating database bottlenecks. * Multi-Tenant Row-Level Security: Organization-level data isolation utilizing a background Visibility Cache to securely restrict user access based on group assignments.

Artificial Intelligence (AIOps) * Dual-Model Architecture: Integration with heavy reasoning models (NL2SQL) and fast summarization models (Ollama/Deepseek). * Conversational Interface: Natural language querying of infrastructure data with stateful chat memory. * Adaptive Visualizations: AI automatically routes data to the most appropriate UI widget (Scalar, Table, Pie Chart, Bar Chart). * Zero-Downtime Recompilation: The AI system prompt automatically updates itself in the background whenever the CMDB schema/ontology changes.

Graph Traversal & Service Mapping * Impact Analysis: Top-Down recursive graph walks to identify business services impacted by hardware failures. * Dependency Mapping: Bottom-Up recursive walks to identify foundational infrastructure supporting high-level applications. * Optimized Execution: Depth-limited CTE execution directly within PostgreSQL to prevent infinite loops on cyclical network topologies.

Audit & Compliance * Attribute-Level Diffs: Highly optimized JSON diff engine capturing precise old vs new values. * Relational Neighborhood Snapshots: The industry-first “Topology Time Machine,” capturing all active inbound/outbound relationships of a CI at the exact millisecond a modification occurs. * Automated Data Retention: Background watchdogs to safely purge aged-out access logs and AI chat sessions based on compliance policies.

Event-Driven Automation (Trigger Engine) * Real-time Event Bus: Decentralized Vert.x event bus listening for CI/Relation CRUD operations. * Dynamic Rule Evaluation: In-memory evaluation of logical conditions (EQUALS, CONTAINS, CHANGED_TO). * Action Dispatchers: Native support for triggering Outbound Webhooks, Slack/Teams notifications, SMTP Emails, and embedded JavaScript (Nashorn/GraalVM) auto-remediation scripts.

High Availability & Operations * Hazelcast Clustering: True Active-Active multi-node clustering for distributed workloads and self-healing resilience. * Watchdog Resiliency: Automated detection and termination of “zombie” or frozen background executions. * Hot-Reloading: Broadcast-based cluster updates for system configurations (Audit, AI, LDAP) requiring zero downtime or server restarts.

API & Developer Integrations

  • Comprehensive REST API: Released 88+ endpoints covering 100% of the platform’s capabilities (API-First design).
  • Interactive Documentation: Shipped native Redocly OpenAPI 3.0 integration within the Sphinx documentation, featuring accurate request/response payload examples.
  • Postman Support: Provided a fully configured Postman collection with automated JWT token extraction for seamless developer testing.

Deployment

  • Docker Native: Released official docker-compose.yml for instant, production-ready deployments encompassing PostgreSQL 15, the Vert.x Java Backend, and the Nginx/React Frontend.
  • Persistent Volumes: Configured safe data persistence ensuring database integrity across container lifecycles.