# Agentic Ai Projects And Mastery
All Agentic Ai Projects And Mastery notes →# Observability
All Observability notes →7 — Multi-Tenancy
Two separate guarantees hiding under one name — data isolation and performance fairness — and the tenant identification, quota enforcement, and selective backpressure that make both hold under shared infrastructure.
8 — Self-Observability
The bootstrapping problem — a platform can't fully trust itself to tell you it's failing — and the two mechanisms that get around it: an independent out-of-band health path, and a synthetic canary that catches silent stalls no internal metric surfaces.
5 — Security & Compliance
Why PII ends up in telemetry by accident rather than by design, the pipeline-layer scrubbing that catches what application discipline misses, tenant-scoped access control, and why the query audit log is itself security-relevant telemetry.
# Projects
All Projects notes →Cardinality Governance
How the platform governs cardinality — the primary cost and stability risk.
07 — Cost & Governance
Keeping the platform affordable and well-governed: budgets, cardinality, vendors.
Ingest Budget by Team
Ingest budget allocation per team and current consumption.
Integration Specifications
Specifications for integrations between the platform and external systems (IRM, BigPanda, SNOW,
Monthly Cost Reports
Monthly observability cost reports.
Toil Budget Policy
Cap and track operational toil so it doesn't crowd out engineering.
Vendor Registry
Registry of vendors and external services the platform depends on.
Business Alignment & Cost Transparency
The observability framework is not just a technical initiative—it is designed to **deliver
Metric Label Standards for Cost Attribution
**Goal:** Attribute Grafana Cloud metrics ingestion cost to business unit, product, and environment.