HadiTech AI Ops
Intelligent Infrastructure Diagnostics & Operational Workspace
HadiTech AI Ops is being designed as an engineering companion for infrastructure and network operations teams. Rather than replacing human judgment, it augments site reliability engineers and network architects by rapidly contextualizing telemetry, correlating multi-device anomalies, and generating structured root-cause hypotheses.
Telemetry Overload & Fragmentation
Modern enterprise infrastructure generates millions of log lines and telemetry alerts per hour across distributed switches, hypervisors, and multi-cloud edges. During incidents, on-call engineers spend critical minutes manually parsing disjointed syslog buffers, correlating telemetry timestamps, and cross-referencing vendor documentation.
Constrained Reasoning & Topology Graphs
A unified operational console combining deterministic rules, local topology graphs, and constrained reasoning agents that synthesize raw telemetry streams into verifiable, human-inspectable incident runbooks and diagnosis briefs.
Target Audience
Intended Engineering Users
System Execution Flow
Core Operational Workflows
Continuous Telemetry Collection
Receives streaming syslog, NetFlow, and SNMP trap data via standard secure message pipelines without proprietary vendor lock-in.
Topology Graph Correlation
Maps anomalies against local physical topology models to distinguish root-cause hardware events from downstream flap cascades.
Explainable Reasoning Engine
Generates structured incident briefs citing specific timestamped log records, avoiding hallucinated causes.
Human-in-the-Loop Actioning
Engineers validate recommendations and execute standardized remediation procedures with full audit trails.
Feature Scope
Proposed Capabilities & Development Status
Capabilities are transparently labeled according to verified engineering readiness.
Infrastructure Telemetry & Log Analysis
In PrototypeContext-aware parsing of structured and unstructured device syslogs, BGP transition notifications, and state change feeds.
Network Troubleshooting Assistance
In PrototypeInteractive diagnostic assistant guiding operators through ping/traceroute verification, interface CRC checks, and routing table validation.
Configuration Review & Semantic Diffing
Specification PhaseAutomated policy inspection against syntax standards, syntax deprecations, ACL drift, and security best-practice benchmarks.
Multi-Device Event Summarization
In PrototypeTimeline consolidation of simultaneous interface flaps and spanning-tree reconfigurations across fabric tiers.
Human-Gated Remediation Playbooks
PlannedVerifiable operational suggestions with explicit dry-run steps and safety verification commands before operator sign-off.
Tool-Assisted Data Analysis
PlannedIntegration interfaces for querying live telemetry endpoints, Prometheus metrics, and network time-series databases.
Architecture Stack
- FastAPI / Python 3.12 Core Service
- Next.js 14 / TypeScript Operator UI
- PostgreSQL & TimescaleDB Telemetry Store
- Local & Private Model Inference Pipelines (Ollama / vLLM / Constrained LLM APIs)
- Netmiko / Scrapli / NAPALM Protocol Connectors
Operational Safety Rails
- Zero-trust data isolation with no telemetry egress without explicit configuration
- Read-only default inspection mode; execution strictly gated behind role permissions
- Complete audit logging of all generated prompts, hypotheses, and operator actions
- Support for entirely air-gapped or on-premises local LLM execution
Iterative Development
Product Roadmap (2026 - 2027)
Telemetry Parser & Ingestion Prototype
Standardize syslog schemas, gNMI collectors, and rule-assisted event deduplication engine.
Deterministic Diagnostic Models
Implement constrained reasoning templates anchoring LLM hypotheses strictly to timestamped log lines.
Sandbox Evaluation Program
Invite select network engineering teams for air-gapped lab testing on synthetic topologies.
Request Early Access or Technical Discussion
Interested in participating in prototype evaluation or sharing real-world telemetry diagnostic challenges? Submit your details to connect directly with the engineering initiative.