Now Available β€” OpenAI + RAG Analysis

See Everything.
Know Everything.
Act Intelligently.

SYNOTI unifies real-time monitoring, XDR security, RAG-enriched knowledge base, and autonomous AI analysis β€” now with OpenAI and Ollama dual support. Your infrastructure has a story β€” SYNOTI helps you tell it.

synoti@engine β€” interactive
$ ./synoti --status
βœ“ SYNOTI Engine v1.22.72 β€” All systems operational
OpenAI + Ollama dual AI providers
RAG-enriched AI analysis with topology impact
$

SYNOTI in Numbers

Real-time impact across the platform β€” every second counts.

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0
Knowledge Chunks
RAG indexed
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0
Servers Monitored
real-time
🩺
0
Healing Engines Active
10 components
πŸ›‘οΈ
0
Incidents Tracked
auto-resolved

Unified Monitoring

Real-time observability across every layer. Metrics, logs, alerts β€” all in one place, powered by Prometheus, ClickHouse, and Kafka.

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Real-Time Metrics

Live CPU, memory, disk, and network graphs with historical trending. Prometheus-native query engine for deep drill-downs across 10+ exporter types.

PrometheusNode ExporterGrafana
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Centralized Logs

Aggregate syslog, application logs, and security events via Filebeat β†’ Kafka β†’ ClickHouse. Full-text search, severity filters, CSV export.

ClickHouseKafkaFilebeat
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Smart Alerting

Custom alert rules with severity escalation. Auto-create incidents from alerts. Reduce noise with intelligent deduplication.

AlertmanagerAuto-remediate
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Multi-Channel Notifications

Real-time alerts delivered to your preferred channels β€” Slack, Microsoft Teams, Email, Telegram, and custom webhooks. Smart routing per team or severity level.

SlackTeamsEmailWebhooks
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AI Chat & Copilot

Conversational interface for querying system state, troubleshooting incidents, and generating diagnostic commands in natural language.

AI LLMRAG-enriched
🌐

Service Topology

Interactive dependency maps showing service relationships, health status, and failure cascades in real time.

Auto-discoveryDependency graph
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Server Inventory

Full hardware and software inventory with agent management. Install, upgrade, and monitor exporters remotely via SSH.

10+ ExportersSSH
🧠

AI-Powered Monitoring

Intelligent anomaly detection across all metrics and logs. AI predicts issues before they become incidents with automated root cause analysis.

AI LLMAnomaly detectionPredictive
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Operational Reports

Auto-generated reports with severity distribution, incident timelines, and infrastructure health summaries. Export to CSV/PDF.

PDFCSV

XDR Security

Extended detection and response with SIEM integration, FIM, vulnerability scanning, MITRE ATT&CK mapping, and real-time threat intelligence.

🌍 3 active threat sources · 12 blocked attempts
Failed SSH from 203.0.xx.xx β€” brute force detected
2m ago
Privilege escalation on web-01 β€” unauthorized sudo
8m ago
FIM: /etc/shadow modified on db-master
15m ago
Port scan detected from 198.51.xx.x β€” 24 ports in 3s
22m ago
πŸ›‘οΈ

SIEM Integration

Deep SIEM integration with log correlation, file integrity monitoring, vulnerability detection, compliance scanning (SCA), and MITRE ATT&CK technique mapping.

SIEMFIMMITRE
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Session & Access Control

Active session monitoring with geolocation, user audit trails, SSH key management, multi-tenant RBAC, and 5 role levels (super_admin β†’ viewer).

RBACJWTAudit log
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Threat Detection & Response

Automated correlation of failed logins, privilege changes, and network anomalies. Generate security incidents with AI-powered root cause analysis.

Anomaly detectionActive Response

Platform Architecture

Microservices architecture built for scale. API-first design, every component is containerized, observable, and independently deployable.

πŸ–₯️
Admin UI (React SPA)
Full-featured web interface for all platform operations
⚑
Core API (FastAPI/Python)
Business logic, AI orchestration, auth, webhooks
πŸ€–
AI Engine + Healing Engines
4 analysis modes + 7 healing engines (predictive, correlation, auto-remediation)
🧠
RAG Knowledge Base (pgvector)
Semantic search, session memory, auto-generated runbooks
🩺
Self-Healing Pipeline
5-tier healing: detection β†’ analysis β†’ diagnosis β†’ fix β†’ learning
πŸ—„οΈ
PostgreSQL + ClickHouse + Redis
Operational data, time-series logs, caching, vector DB
πŸ“‘
Kafka + Filebeat Pipeline
High-throughput log ingestion β†’ ClickHouse (30d ret.)
πŸ›‘οΈ
Security Monitoring (XDR)
FIM, vulnerability, compliance, MITRE, active response
πŸ”§
Workers (1..N SSH agents)
Dynamic scaling, remote command execution

Live Pipeline

Real-time data flow from ingestion through enrichment to AI-powered action.

Servers Kafka ClickHouse Logs 🚨 Incident Detection Auto-alerts & anomaly detection Context Enricher RAG Search + Topology BFS πŸ€– AI Analysis (Ollama/OpenAI) βœ… Action Log Throughput 12.4K events/sec Avg Analysis 12s -64% vs manual Knowledge Base 1.6K chunks indexed

Autonomous AI Engine

Four specialized analysis modes with RAG knowledge enrichment and topology impact assessment. Supports both Ollama (local) and OpenAI (cloud) providers.

⚑

Fast Analysis

Quick diagnostics with RAG enrichment β€” similar past incidents included. 12 sec avg.

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Deep RCA

Full root cause with dependency graph + knowledge base traversal. 90 sec avg.

πŸ›‘οΈ

Security Scan

Auth logs, network anomalies, privilege escalation analysis. 45 sec avg.

πŸ€–

Autonomous Fix

SSH execution plan with rollback, safety checks, and policy classification.

═══ Analysis Result ═══
1) Likely Cause
β€’ Connection pool exhaustion in api-gateway
β€’ Upstream response time degraded to 4.2s
2) Impact
β€’ 23% of requests timing out
3) Recommended Actions
β€’ Increase connection pool 100 β†’ 250
β€’ Restart api-gateway service
4) Confidence: 94%

Analysis Enrichment Flow

Every analysis is enriched with RAG knowledge and topology impact before reaching the AI engine.

🚨
1. Incident Created
Alert, manual, or auto-detected incident triggers analysis
πŸ”
2. RAG Knowledge Search
Semantic search for similar past incidents, solutions, sessions
πŸ”—
3. Topology BFS Traversal
Trace downstream service dependencies for blast radius
🧠
4. Enriched Prompt β†’ LLM
Knowledge + impact + raw data sent to Ollama or OpenAI
βœ…
5. Resolve + Feedback Loop
Resolved incidents boost knowledge base confidence +0.15
🚨 Incident Created Context Enricher RAG Search + Topology BFS πŸ“š Knowledge Base Incidents Β· Docs Β· Code πŸ”— Topology Graph Service Dependencies πŸ€– AI Analysis (Ollama/OpenAI) βœ… Analysis Complete

Incident Auto-Analysis Pipeline

Fully automated incident lifecycle β€” from detection through 4-mode AI analysis. Runs continuously, no human intervention required.

🎯 Incident Detector ClickHouse anomalies πŸ“‘ Event Router Kafka event stream 🌐 API Create POST /incidents πŸ“¦ Redis incidents:queue LPUSH from detectors | RPOP by consumer Q πŸ” Queue Consumer RPOP β†’ INSERT pg πŸ—„οΈ PostgreSQL incidents table direct INSERT πŸ” Analysis Worker poll 30s β†’ ai_analysis=NULL ⚑ Fast Analysis πŸ” Deep RCA πŸ›‘οΈ Security πŸ€– Autonomous Fix DETECTION Β· REDIS Β· PERSIST Β· ANALYZE β€” FULLY AUTOMATED Consumer poll: 5s Analysis poll: 30s

Intelligent Incident Resolution

AI-powered auto-resolution with safety controls. Reachability check β†’ service recovery β†’ verification β†’ real-time notification.

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Step 1: Host Reachability

Verify host connectivity. If host is DOWN β†’ send escalation alert, no auto-resolve attempted.

Ping checkEscalation
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Step 2: SSH Connectivity

If host is UP but SSH is DOWN β†’ send alert. If SSH works β†’ verify service status directly.

SSHSecure access
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Step 3: Service Recovery

If service is DOWN β†’ execute recovery commands (start/restart) automatically. Only safe commands are executed.

Auto-restartSafe execution
βœ…

Step 4: Verification

After recovery, verify service is running. Only mark resolved if verification passes.

VerificationDouble-check
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Step 5: Live Notification

Send live notification for every outcome: HOST DOWN, SERVICE RECOVERED, or RECOVERY FAILED with full details to your configured channels.

Real-timeMulti-channel
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Safety Controls

Confidence threshold, rate limiting, circuit breaker, keyword filtering. Only safe commands are ever executed.

Rate limitCircuit breaker

Intelligent Knowledge Base

SYNOTI remembers everything β€” every incident, config, session. When analysis runs, it automatically searches knowledge base for similar past cases and enriches the AI prompt with relevant context and topology impact.

πŸ“š

Documentation

Architecture, guides, and operational knowledge β€” instantly searchable.

βš™οΈ

Configurations

Every service config, monitoring rules, and security policies indexed.

πŸ’»

Source Code

Application code indexed for instant context-aware analysis.

🚨

Incident History

Every resolved incident β€” SYNOTI learns from past solutions.

🧠

Cross-Session Memory

SYNOTI remembers every conversation. Ask a question today, reference a solution from last week β€” it's all connected.

πŸ“–

System Glossary

Built-in dictionary of all platform concepts, automation services, and terminology. Use /g term in Telegram or browse the Glossary page.

🚨 Incident Created πŸ“š Knowledge Base Search pgvector Β· BGE-M3 Β· 1024-dim βœ… Matched Chunks incident: CRASH (confidence 0.8) solution: Disk repair guide session: Previous fix applied πŸ”— Topology BFS πŸ€– Enriched LLM Knowledge Base 1,667 Content Types code Β· doc Β· incident Β· config Feedback Loop Resolve β†’ +0.15 confidence

Speed Comparison

SYNOTI vs traditional investigation β€” measured in real production environments.

⚑ SYNOTI Fast Analysis
12 sec
12s
πŸ” SYNOTI Deep RCA
90 sec
90s
πŸ›‘οΈ SYNOTI Security Scan
45 sec
45s
πŸ‘¨β€πŸ’» Manual Investigation
~45 min
~45m
πŸ“‹ Industry Average (ticket-based)
~4 hrs
~4h

Compliance & Standards

Designed for enterprise deployment on HA infrastructure with full DR capabilities. Built to meet industry standards.

βœ… Designed

ISO 27001

Information Security Management β€” RBAC, JWT auth, audit logs, encrypted secrets, least-privilege policies across all layers.

A.12.4 Audit Logging Β· A.9 Access Control
βœ… Designed

SOC 2 Type II

Security, Availability, Processing Integrity β€” Multi-tenant RBAC, incident lifecycle, AI analysis audit trail, RAG knowledge tracking.

CC6.1 Encryption Β· CC7.2 Monitoring
βœ… Designed

NIST CSF

Cybersecurity Framework β€” XDR platform (Detect/Respond), self-healing agent (Respond/Recover), MITRE ATT&CK mapping, active response.

ID.AM Β· PR.AC Β· DE.CM Β· RS.RP Β· RC.RP
βœ… Designed

ITIL v4

IT Service Management β€” Incident management, AI auto-resolution, problem management, knowledge base (RAG), service catalog.

Incident Mgmt Β· Problem Mgmt Β· Knowledge Mgmt
βœ… Designed

CIS Controls

Infrastructure Security β€” File integrity monitoring, vulnerability detection, compliance scanning (SCA), configuration assessment.

Control 3.5 Secrets Mgmt Β· Control 8 Audit
βœ… Designed

GDPR / MN Data Protection

Compliance β€” Role-based data access, configurable data retention, deletable RAG chunks, full audit trail for all system changes.

Art.17 Right to Erase Β· Art.30 Records

Integration Ecosystem

Seamlessly connects with the tools you already use. Open architecture, no vendor lock-in.

πŸ“Š
Prometheus
πŸ“ˆ
Grafana
🐳
Docker
⚑
Kafka
🐘
PostgreSQL
πŸ”₯
ClickHouse
πŸ“¦
Redis
🧠
AI Engine
πŸ€–
OpenAI
πŸ›‘οΈ
XDR / SIEM
🐍
Python
βš›οΈ
React
πŸ“¨
Telegram

API Reference

RESTful API with OpenAPI/Swagger documentation at /docs. Full CRUD for all resources.

GET /api/health
System health check β€” all components status
POST /api/rag/search
Semantic search with content type/tag filters
POST /api/rag/chat
RAG-enriched AI chat with knowledge base context
GET /api/rag/knowledge
Browse knowledge base β€” paginated, filterable
POST /api/rag/session/compact
Compact chat sessions β†’ embed β†’ store as knowledge
GET /api/healing-agent/status
Self-healing agent status β€” checks run, issues found/fixed, circuit breaker
POST /api/healing-agent/run
Manually trigger a healing cycle across all servers
GET /api/advanced-healing/status
Advanced healing: disk, memory, cert, kafka, NE dedup, config drift stats
POST /api/advanced-healing/analyze-code
AI code change analysis β€” predict potential errors before deployment
GET /api/predictive/health-scores
Composite 0-100 health scores per server (ML trend analysis)
GET /api/predictive/forecast/{id}
Resource exhaustion forecast β€” predict when disk/memory/CPU will run out
GET /api/effectiveness/report
Healing effectiveness report β€” MTTR, success rate, false positive tracking
GET /api/db-health/status
Database health: connections, slow queries, replication lag, table bloat
GET /api/backup-verifier/status
Backup verification β€” file age, size, integrity checks across servers
GET /api/escalator/status
Notification escalation status — Telegram→Email→SMS chain
GET /api/rag/stats
Knowledge base statistics β€” chunk counts by type
DELETE /api/rag/knowledge/{id}
Delete a knowledge chunk
POST /webhooks/alerts
Receive external alert webhooks β†’ create incidents
GET /incidents
List incidents β€” filter by status, severity, date
GET /docs
OpenAPI/Swagger interactive API documentation

Start Free, Scale Enterprise

One server free forever. No credit card. Enterprise plans for organizations that need HA, DR, and compliance.

Free
$0 /month
Perfect for small teams and homelabs
  • 1 server monitoring
  • Real-time metrics & logs
  • XDR security integration
  • Basic alerts
  • RAG knowledge base (30 days)
  • Community support
Get Started Free β†’

About SYNOTI

SYNOTI is an AI-powered AIOps platform that unifies real-time monitoring, XDR security, intelligent knowledge base, and autonomous incident resolution into a single system. Built in Mongolia by GLOBAL DATA ENGINEERING.

SYNOTI is designed for production-grade enterprise deployment with High Availability and Disaster Recovery capabilities. It meets international standards including ISO 27001, SOC 2 Type II, NIST CSF, ITIL v4, and CIS Controls.

The platform uses advanced LLMs for AI analysis, vector search for semantic knowledge retrieval, and secure SSH agents for remote execution. All data flows through Kafka for reliable ingestion and ClickHouse for log analytics.

Company
GLOBAL DATA ENGINEERING
Country
Mongolia πŸ‡²πŸ‡³
Languages
Python, JavaScript, SQL
AI Engine
OpenAI / Ollama compatible
Database
PostgreSQL + Vector Search
Status
Production Ready βœ“

Built for Organizations

Everything you need to operate at scale with enterprise-grade security and support.

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SSO / SAML

Integrate with your identity provider. JWT-based authentication with access + refresh tokens.

🏒

On-Premise

Deploy on your infrastructure. Full data sovereignty with air-gapped deployment option.

πŸ“‹

SLA Guarantee

99.9% uptime SLA with 24/7 dedicated support. RPO ≀15min, RTO ≀30min.

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Custom Integrations

Connect any monitoring tool, database, or workflow. REST API for everything.

πŸ‘₯

Team RBAC

5 role levels, multi-tenancy, tenant-scoped permissions, full audit trails.

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Training & Onboarding

Dedicated customer success manager, team training, and migration assistance.

Ready to Scale?

Contact our enterprise sales team to discuss your needs.

info[at]synoti.com