# RPC Service Level Objectives (SLO)

Service level objectives for RPC endpoints on ChainID 138.

## Overview

This document defines the service level objectives for RPC endpoints serving ChainID 138 (DeFi Oracle Meta Mainnet).

## RPC Endpoints

### Primary Endpoint

- **URL**: `https://rpc.d-bis.org`
- **Protocol**: HTTPS
- **WebSocket**: `wss://rpc.d-bis.org`
- **Location**: Azure (Primary region)
- **Infrastructure**: Azure Application Gateway + AKS RPC nodes

### Secondary Endpoint

- **URL**: `https://rpc2.d-bis.org`
- **Protocol**: HTTPS
- **WebSocket**: `wss://rpc2.d-bis.org`
- **Location**: Azure (Secondary region)
- **Infrastructure**: Azure Application Gateway + AKS RPC nodes

## Service Level Objectives

### Availability

- **Target**: ≥99.9% monthly uptime
- **Measurement**: Percentage of time RPC endpoints are accessible
- **Monitoring**: Azure Monitor, Prometheus, Status page
- **Alerting**: Alert on <99.9% uptime

### Latency

- **Target**: <200ms p95 latency
- **Measurement**: 95th percentile response time
- **Monitoring**: Azure Application Insights, Prometheus
- **Alerting**: Alert on >200ms p95 latency

### Throughput

- **Target**: 1000+ requests/second
- **Measurement**: Requests per second (RPS)
- **Monitoring**: Azure Monitor, Prometheus
- **Alerting**: Alert on capacity issues

### Error Rate

- **Target**: <0.1% error rate
- **Measurement**: Percentage of requests that result in errors
- **Monitoring**: Azure Monitor, Prometheus
- **Alerting**: Alert on >0.1% error rate

## Service Level Indicators (SLI)

### Uptime SLI

```
Uptime SLI = (Successful requests / Total requests) * 100
```

### Latency SLI

```
Latency SLI = p95 response time
```

### Throughput SLI

```
Throughput SLI = Requests per second
```

### Error Rate SLI

```
Error Rate SLI = (Error requests / Total requests) * 100
```

## Monitoring

### Metrics

- **Uptime**: Percentage of time endpoints are up
- **Latency**: Response time percentiles (p50, p95, p99)
- **Throughput**: Requests per second
- **Error Rate**: Percentage of errors
- **Availability**: Endpoint availability status

### Tools

- **Azure Monitor**: Cloud monitoring
- **Prometheus**: Metrics collection
- **Grafana**: Metrics visualization
- **Application Insights**: Application performance monitoring
- **Status Page**: Public status page

## Alerting

### Alerts

- **Uptime < 99.9%**: Critical alert
- **Latency > 200ms p95**: Warning alert
- **Throughput > 90% capacity**: Warning alert
- **Error Rate > 0.1%**: Critical alert
- **Endpoint down**: Critical alert

### Notification Channels

- **Email**: Operations team
- **Slack**: Operations channel
- **PagerDuty**: On-call rotation
- **SMS**: Critical alerts only

## Status Page

### Public Status Page

- **URL**: `https://status.d-bis.org` (to be created)
- **Updates**: Real-time status updates
- **Incidents**: Incident reporting
- **Maintenance**: Maintenance windows

### Status Indicators

- **Operational**: All systems operational
- **Degraded**: Some issues, but service available
- **Outage**: Service unavailable
- **Maintenance**: Scheduled maintenance

## Incident Response

### Severity Levels

1. **Critical**: Service completely down
2. **High**: Significant degradation
3. **Medium**: Minor issues
4. **Low**: Informational

### Response Times

- **Critical**: 15 minutes
- **High**: 1 hour
- **Medium**: 4 hours
- **Low**: 24 hours

### Escalation

1. **Level 1**: On-call engineer
2. **Level 2**: Senior engineer
3. **Level 3**: Engineering manager
4. **Level 4**: CTO

## Disaster Recovery

### Backup Endpoints

- **Primary**: `https://rpc.d-bis.org`
- **Secondary**: `https://rpc2.d-bis.org`
- **Tertiary**: [To be configured]

### Failover

- **Automatic**: DNS-based failover
- **Manual**: Manual failover procedures
- **Testing**: Quarterly failover tests

## Capacity Planning

### Current Capacity

- **RPS**: 1000+ requests/second
- **Concurrent Connections**: 10,000+
- **Bandwidth**: 1 Gbps+

### Scaling

- **Horizontal**: Add more RPC nodes
- **Vertical**: Increase node resources
- **Auto-scaling**: Kubernetes auto-scaling
- **Load Balancing**: Application Gateway load balancing

## Reporting

### Monthly Reports

- **Uptime**: Monthly uptime percentage
- **Latency**: Average and p95 latency
- **Throughput**: Average and peak throughput
- **Error Rate**: Error rate percentage
- **Incidents**: Number and duration of incidents

### Quarterly Reviews

- **SLO Performance**: Review SLO performance
- **Improvements**: Identify improvements
- **Capacity Planning**: Plan for capacity increases
- **Disaster Recovery**: Review disaster recovery procedures

## References

- [Azure Monitor](https://azure.microsoft.com/services/monitor/)
- [Prometheus](https://prometheus.io)
- [Grafana](https://grafana.com)
- [Status Page](https://statuspage.io)

