Mesh-Native Observability & SRE
Enterprise-grade observability is the backbone of reliable production systems. This course covers the three pillars of observability (logs, metrics, traces) adapted for the DOSFI mesh, distributed tracing across nodes, SLO/SLI/SLA design, error budgets, incident management, alerting, and chaos engineering. Equivalent to AWS CloudWatch + X-Ray deep training and Microsoft Azure Monitor + Application Insights, purpose-built for mesh-native distributed inference.
What you'll learn
- The three pillars of observability: logs, metrics, distributed traces
- Distributed tracing across mesh nodes and adapter chains
- SLO, SLI, and SLA design for mesh-native services
- Error budgets and reliability engineering
- Incident management: detection, response, postmortem
- Alerting strategies and on-call rotation design
- Chaos engineering and proactive failure testing
All DOSFI educational content is produced under the Sovereign Closed-Core / Open-Surface model. DOSFI University is theory only — conceptual architecture, mathematics, and design theory. DOSFI Academy is practical only — SDK usage, ABI integration, and hands-on labs. Both tracks draw exclusively from open-surface materials: SDKs, ABIs, documentation, tutorials, examples, and conceptual explanations. Internal implementation details of the Runtime, Scheduler, Router, Readiness Engine, Privacy, Power, Thermal, Vital, DIU, and MNE subsystems are never revealed by either track. The DOSFI Core engine remains permanently sealed, preserving DOSFI's sovereignty, mission-lock, and non-replicable architecture.
Curriculum
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