Autonoma Best Practices
Proven strategies to maximize the value of autonomous software development in your organization
Getting Started Right
Start with a Pilot Project
Begin with a non-critical application to understand Autonoma's capabilities and build team confidence.
Enable Features Gradually
Start with monitoring and predictions, then gradually enable auto-remediation as confidence grows.
Recommended Rollout Plan:
- Week 1-2:Monitoring and analytics only
- Week 3-4:Enable predictive alerts
- Week 5-6:Auto-fix for low-risk issues
- Week 7+:Full autonomous capabilities
Configuration Best Practices
Environment Configuration
// autonoma.config.js
module.exports = {
development: {
autoFix: false, // Manual approval in dev
alertThreshold: 'low', // See all predictions
telemetry: true // Help improve models
},
staging: {
autoFix: true, // Test auto-fixes
alertThreshold: 'medium',
rollbackEnabled: true // Safety net
},
production: {
autoFix: true,
alertThreshold: 'high', // Critical only
rollbackEnabled: true,
notifyChannels: ['slack', 'pagerduty']
}
};
Use environment-specific configurations to match your risk tolerance and operational needs.
Secure API Key Management
Use Environment Variables
Never hardcode API keys in your source code
Rotate Keys Regularly
Set up quarterly key rotation schedule
Use Secrets Management
Integrate with HashiCorp Vault, AWS Secrets Manager, etc.
Team & Process Integration
Integrate with Code Review
Autonoma can analyze pull requests and provide feedback before merging:
# .github/workflows/autonoma.yml
name: Autonoma Analysis
on: [pull_request]
jobs:
analyze:
runs-on: ubuntu-latest
steps:
- uses: autonoma/analyze-action@v1
with:
api-key: ${{ secrets.AUTONOMA_API_KEY }}
fail-on-critical: true
Incident Response Integration
Configure Autonoma to work with your existing incident response process:
- Auto-create tickets in Jira/ServiceNow for predictions
- Send alerts to Slack/Teams with context and remediation steps
- Integrate with PagerDuty for critical predictions
- Log all actions to your SIEM for compliance
Performance & Scale
Optimize Model Training
Schedule model retraining during off-peak hours. Use incremental learning for large codebases.
Focus Predictions
Configure prediction scope to critical paths. Reduce noise by filtering low-impact areas.
Team Adoption
Run monthly reviews of prevented issues. Share success metrics to build confidence.
Common Success Patterns
Microservices Architecture
Deploy Autonoma at the service mesh level for comprehensive coverage:
// Service mesh integration
const autonoma = new Autonoma({
apiKey: process.env.AUTONOMA_API_KEY,
service: {
name: process.env.SERVICE_NAME,
version: process.env.SERVICE_VERSION,
dependencies: getServiceDependencies()
},
mesh: {
provider: 'istio',
namespace: process.env.K8S_NAMESPACE
}
});
Monolithic Applications
Use module-based configuration for large monolithic applications:
// Module-specific configuration
autonoma.configureModule('user-management', {
autoFix: true,
criticalPaths: ['/api/auth', '/api/users']
});
autonoma.configureModule('payment-processing', {
autoFix: false, // Manual approval required
alerting: 'immediate',
compliance: 'pci-dss'
});
Measuring Success
Key Metrics to Track
Technical Metrics
- Issues prevented per month
- Mean time to detection (MTTD)
- Auto-remediation success rate
- False positive rate
Business Metrics
- Downtime prevented (hours)
- Revenue loss avoided
- Developer productivity gain
- Customer satisfaction improvement
Pro Tip: Set up a monthly dashboard review with stakeholders to showcase prevented incidents and ROI. This builds confidence and secures continued investment.
Ready to Implement Best Practices?
Our team is here to help you succeed with Autonoma