ApexOps AI Architecture
Overview
ApexOps AI is an autonomous enterprise operations platform that combines Splunk observability, AI-powered executive agents, and automated remediation workflows. The system continuously monitors infrastructure, investigates incidents, assesses business impact, and recommends corrective actions.
Architecture Diagram
┌─────────────────────────────────────────────────────┐
│ Enterprise Infrastructure │
├─────────────────────────────────────────────────────┤
│ Applications │ APIs │ Databases │ Cloud │ Network │
└─────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────┐
│ Splunk Enterprise │
├─────────────────────────────────────────────────────┤
│ • HEC Event Ingestion │
│ • Metrics Collection │
│ • Logs & Traces │
│ • SPL Searches │
│ • ML Toolkit Anomaly Detection │
│ • Enterprise Security Events │
│ • Saved Alerts & Webhooks │
└─────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────┐
│ Splunk Alerting Layer │
├─────────────────────────────────────────────────────┤
│ Alert Generated │
│ ↓ │
│ Webhook Trigger │
│ ↓ │
│ Incident Sent to ApexOps Backend │
└─────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────┐
│ ApexOps FastAPI Backend │
├─────────────────────────────────────────────────────┤
│ • Incident Orchestrator │
│ • Splunk Query Engine │
│ • Agent Coordinator │
│ • Remediation Engine │
│ • Audit Logger │
└─────────────────────────────────────────────────────┘
│
┌─────────────────┼─────────────────┐
▼ ▼ ▼
┌──────────────┐ ┌──────────────┐ ┌──────────────┐
│ SRE Agent │ │ Security │ │ Finance │
│ │ │ Agent │ │ Agent │
│ Root Cause │ │ Threat Hunt │ │ Revenue │
│ Analysis │ │ MITRE Mapping│ │ Impact │
└──────────────┘ └──────────────┘ └──────────────┘
▼ ▼ ▼
┌──────────────┐ ┌──────────────┐
│ Compliance │ │ Remediation │
│ Agent │ │ Agent │
│ GDPR/SOC2 │ │ Auto Actions │
└──────────────┘ └──────────────┘
│
▼
┌─────────────────────────────────────────────────────┐
│ Groq Llama3-70B AI Models │
├─────────────────────────────────────────────────────┤
│ • Incident Summarization │
│ • Root Cause Investigation │
│ • Threat Analysis │
│ • Business Impact Assessment │
│ • Executive Decision Reports │
└─────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────┐
│ Chief Operations Agent (COA) │
├─────────────────────────────────────────────────────┤
│ • Aggregates Agent Findings │
│ • Determines Severity │
│ • Generates Recommendations │
│ • Creates Executive Decision Report │
└─────────────────────────────────────────────────────┘
│
┌─────────────────┼─────────────────┐
▼ ▼ ▼
┌──────────────┐ ┌──────────────┐ ┌──────────────┐
│ Next.js │ │ Slack Alerts │ │ Splunk Audit │
│ Dashboard │ │ Notifications│ │ Trail Index │
└──────────────┘ └──────────────┘ └──────────────┘
│
▼
┌─────────────────────────────────────────────────────┐
│ Human Approved Remediation │
├─────────────────────────────────────────────────────┤
│ • Restart Services │
│ • Scale Infrastructure │
│ • Block Threat Actors │
│ • Generate Incident Tickets │
└─────────────────────────────────────────────────────┘
Data Flow
1. Data Collection
Enterprise systems continuously generate:
- Application Logs
- API Logs
- Database Events
- Infrastructure Metrics
- Network Telemetry
- Security Events
These events are ingested into Splunk Enterprise using HEC (HTTP Event Collector).
2. Splunk Analysis
Splunk performs:
- Log aggregation
- Metrics monitoring
- Distributed tracing
- SPL searches
- ML-based anomaly detection
- Enterprise Security correlation
When an anomaly or threat is detected, Splunk generates an alert.
3. Incident Triggering
Splunk alerts trigger webhooks that notify the ApexOps backend.
The backend creates an incident and launches the AI Executive Team.
4. AI Executive Investigation
SRE Executive
- Root cause analysis
- Infrastructure diagnostics
- Performance investigation
Security Executive
- Threat hunting
- Attack analysis
- MITRE ATT&CK mapping
Finance Executive
- Revenue impact estimation
- SLA risk analysis
- Business impact assessment
Compliance Executive
- GDPR evaluation
- SOC2 assessment
- Regulatory risk scoring
Remediation Executive
- Recovery planning
- Automated action generation
- Verification procedures
5. AI Model Layer
All executives leverage Groq Llama3-70B to:
- Analyze incidents
- Generate findings
- Produce recommendations
- Create executive reports
6. Chief Operations Agent
The Chief Operations Agent (COA) combines outputs from all executives and generates:
- Incident Severity
- Root Cause
- Security Assessment
- Financial Impact
- Compliance Assessment
- Recommended Actions
7. Results & Audit Trail
The final decision report is:
- Displayed in the Next.js dashboard
- Sent via Slack notifications
- Written back into Splunk
This creates a complete audit trail of AI-driven decisions.
8. Autonomous Remediation
Approved remediation actions can be executed, including:
- Restarting services
- Scaling infrastructure
- Blocking malicious IPs
- Creating incident tickets
- Running recovery workflows
Key Technologies
| Layer | Technology |
|---|---|
| Frontend | Next.js, React, TypeScript |
| Backend | FastAPI, Python |
| Observability | Splunk Enterprise |
| AI Models | Groq Llama3-70B |
| Agent Framework | Multi-Agent Architecture |
| Notifications | Slack |
| Audit Trail | Splunk Indexes |
| Deployment | Docker, Vercel |
Core Value Proposition
ApexOps transforms enterprise operations from:
Alert → Human Investigation → Manual Decision
into
Alert → AI Investigation → Executive Decision → Automated Remediation
reducing response time, improving visibility, and enabling autonomous operations at scale.
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