Metrics and SLA Foundations for NaaP

Treasury
9

Cloud SPE — Update #2

Period: February 1, 2026 – February 28, 2026

Status: On track

Summary

During February, we progressed from foundational setup into active operational validation. With Iterations 1–4 now complete, the analytics stack is running real-time workloads and supporting live performance testing across multiple regions.

The core data pipeline, schema design, and validation work are now finalized, positioning the project to transition from alpha infrastructure into production-grade APIs and SLA measurement in the next phase.

Completed Deliverables

Milestone Progress: Infrastructure, Real-Time Testing & Pipeline Implementation

Expanded the analytics platform from initial infrastructure into a fully operational real-time testing and processing environment, enabling continuous measurement of orchestrator performance and AI workload characteristics.

  • Iterations Completed: 4 of 7 total iterations

  • AI Job Tester:
    Running real-time AI video job tests across SEA, MDW, and FRA regions

  • Grafana Dashboard (v2):
    Grafana

  • Data Layer:

    • Data validation and quality processes completed
    • Finalized schema design and query patterns

  • Processing Pipeline:

    • Apache Flink data pipeline designed and implemented

  • APIs (Alpha Release):

Note: All data is currently from the Cloud SPE AI Job tester and does not include production job data from Daydream.

These deliverables collectively establish the first fully integrated analytics loop:

test → ingest → process → visualize → query via API

GitHub Links:

ETA for Next Update

March 31, 2026

Planned by Next Update

  • Production Workload Ingestion
    Integrate Daydream data to reflect real application demand patterns

  • API General Availability
    Release finalized versions of all analytics APIs

  • SLA Scoring
    Deploy the production SLA scoring algorithm and provide API access

  • Gateway Performance Testing

    • Orchestrator swap rate analysis
    • Selection algorithm validation

  • Documentation (Drafts)

    • API specifications
    • Analytics pipeline architecture
    • Data schema and design guides

  • Production Readiness

    • Security hardening
    • Infrastructure scaling and performance optimizations
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