Self-Tuning Performance
Quick Reference
What & Why
Definition
>= 65% of services auto-tune configuration (thread pools, caches, timeouts) using RL agents optimizing latency, throughput, cost.
Business Value
Resolves 70% of incidents automatically without human intervention and reduces MTTR from 45 minutes to 5 minutes through intelligent auto-remediation Achieving >= 65% services self-tuning is a key milestone toward this goal.
Context
This capability is part of the Optimization milestone's focus on ai enablement, predictive ops, self-healing. Essential for teams targeting MTTR, CFR improvements.
Success Criteria
>= 65% services self-tuning
Measurement
Auto-tuning coverage + performance improvement
Evidence
- RL agent configs
- Performance metrics before/after
- Configuration change logs
In Practice
Real-World Implementation
RL agent monitors service performance, experiments with config changes (thread pool size, cache size), measures impact, converges on optimal config.
Concrete Example
Implementation Guide
Implementation Steps
Follow the measurement approach: Auto-tuning coverage + performance improvement
For detailed step-by-step guidance, refer to the Self-Healing Operations & Autonomous Infrastructure Implementation Kit.
Resources
Implementation Kit
Self-Healing Operations & Autonomous Infrastructure KitTemplates
Browse all templatesRelated Resources
View learning pathsRelated Capabilities
Complementary
Often adopted together, from the Self-Healing Operations & Autonomous Infrastructure epic
Troubleshooting & FAQs
Common Issues
Issue: Target metric not improving
Solution: Verify measurement is accurate, check if prerequisites are fully implemented, review evidence artifacts for completeness
Issue: Team resistance to adoption
Solution: Start with pilot team, demonstrate value with metrics, provide training and support during transition
Issue: Inconsistent implementation across teams
Solution: Create shared templates and guidelines, establish regular sync meetings, use automation to enforce standards
Frequently Asked Questions
Can we implement this before completing prerequisites?
While possible, it's not recommended. Prerequisites ensure foundational practices are in place, making this capability more effective and easier to adopt.
How long does implementation typically take?
Most capabilities can be implemented within 185 days when tackled as part of the Optimization milestone. Individual timelines vary based on team size and existing practices.