JarvisBitz Tech
Trust and Governance

System status. Real-time transparency.

Live health indicators, uptime metrics, and a changelog of every system update.

Live Status

All systems monitored

Real-time health indicators for every component in the intelligence stack.

API Gateway

12 sec ago
operational
0.00%uptime (30d)

Inference Engine

8 sec ago
operational
0.00%uptime (30d)

Vector Database

5 sec ago
operational
0.00%uptime (30d)

Monitoring Pipeline

15 sec ago
degraded
0.00%uptime (30d)

Voice Services

10 sec ago
operational
0.00%uptime (30d)
System Health

Aggregate health metrics

Overall system performance at a glance.

Overall Health

99.95%HEALTHY

Avg Response Time

142msp50

Throughput

12,400req/min
Changelog

Recent updates

Every system change, logged and published.

Mar 12, 2026v2.14.0Performance

Inference Engine — Adaptive batching

Dynamic batch sizing based on queue depth and latency targets. 18% throughput improvement under high concurrency.

Mar 8, 2026v2.13.2Optimization

Vector Database — Index optimization

HNSW index rebuild with improved recall at 99th percentile. Query latency reduced from 12ms to 8ms p99.

Mar 3, 2026v2.13.0Feature

Voice Services — Multilingual expansion

Added support for 6 new languages including Japanese, Korean, and Arabic with dialect detection.

Feb 27, 2026v2.12.1Improvement

Monitoring Pipeline — Alert deduplication

Intelligent alert grouping reduces notification volume by 60% while maintaining coverage. False positive rate down to 2%.

Questions about our infrastructure?

The AI Architect can walk you through our deployment, monitoring, and incident response practices.