darwin-vallejos/recovery-watchdog: Recovery Watchdog v1.0.0 - Production Release

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Authors: renoschubert
Cited by: 0

Abstract

Recovery Watchdog v2.0.0 Enterprise SaaS Platform for Predictive Infrastructure Monitoring Release Date: January 15, 2026 Classification: Major Release - Production Ready License: Apache License 2.0 Executive Summary Recovery Watchdog version 2.0.0 represents a fundamental architectural transformation from a standalone monitoring utility to an enterprise-grade, multi-tenant Software-as-a-Service platform. This release introduces production-ready infrastructure for commercial deployment, enabling organizations to offer predictive failure detection as a managed service. Key Value Proposition: Predict infrastructure failures 5-15 minutes before occurrence through coherence-based analysis, delivered via scalable SaaS architecture with complete tenant isolation. Release Highlights Multi-Tenant Architecture Version 2.0.0 implements enterprise-grade multi-tenancy with the following capabilities: Organizational Isolation Complete data segregation at the database level Cryptographically secure API key generation (256-bit entropy) Organization-scoped authentication and authorization Independent subscription tier management per tenant Audit trail support for compliance requirements Agent-Based Monitoring Infrastructure Lightweight monitoring agents deployable on customer infrastructure Secure agent registration and lifecycle management Real-time bidirectional communication between agents and platform Automatic agent health monitoring and status tracking Support for unlimited agents per organization (tier-dependent) REST API Layer Standards-compliant HTTP/JSON API Token-based authentication (X-API-Key header) Comprehensive endpoint coverage for CRUD operations RESTful resource naming and HTTP verb conventions Structured error responses with appropriate status codes Technical Architecture System Components Platform Layer (SaaS Backend)

Fields of Study & Subjects

Software System Performance and Reliability Cloud Computing and Resource Management Distributed systems and fault tolerance

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 January 2026