Use case
Fabric automation spans intent, API transformation, device configuration, provisioning, telemetry, and assurance, making gaps hard to see end to end.
BGP EVPN SD-Access API Analysis
Fabric automation spans intent, API transformation, device configuration, provisioning, telemetry, and assurance, making gaps hard to see end to end.
How it solves it
The analysis maps the lifecycle and API boundaries so engineers can separate source-of-truth data, generated configuration, deployment actions, and operational evidence.
Architecture
The design separates inputs, orchestration, AI assistance, and human verification. Secrets and environment-specific identifiers belong in runtime configuration, never in this page or source control.
Software stack
Static HTML, Markdown analysis, Catalyst Center and fabric API concepts, CI/CD pipeline patterns, telemetry and assurance references.
Source-controlledTestableObservableLeast privilege
AI and AgenticOps
AI can navigate the evidence and explain dependencies; AgenticOps can validate source changes, generate pipeline artifacts, and record deployment outcomes without hardcoded access tokens.
Technical operating model
Ingest
Accept structured inputs and normalize them.
Accept structured inputs and normalize them.
Reason
Retrieve approved context and produce a bounded plan.
Retrieve approved context and produce a bounded plan.
Verify
Apply guardrails, human review, and evidence checks.
Apply guardrails, human review, and evidence checks.
Only sanitized research and public references belong in the Pages presentation; environment configuration stays outside Git.