Architecture
The Causal AI Platform
A clear, modular system where each technology is used for what it does best.
Our Unified Data Lake serves as the single source of truth for all raw observability data (logs, metrics, traces).
High-Performance Analytics for fast queries and Graph Topology for relationship mapping.
Specialized Agents using Causal AI and LLMs to perform root cause analysis and recommend actions.
How It Works
From detection to resolution in seconds.
The "Silent Killer" Deployment
Most tools wait for a user to complain. MVOCA starts watching the moment data flows. Our Anomaly Detection Agent monitors statistical deviations in the Data Reservoir.
It spots a deviation: p99 latency has jumped from 250ms to 1850ms—a 640% increase.
Checkout Service
p99 Latency
Understanding the Blast Radius
The Correlation Agent activates instantly. It queries our Topology Engine to map dependencies.
It confirms: "This isn't just a glitch. This service blocks the Payment Gateway." It flags the severity as High.
Causal Inference, Not Just Correlation
The RCA Agent runs our proprietary Causal Inference Model. It asks: "Did the traffic spike cause the latency? Or did the deployment cause it?"
It calculates a 92% Confidence Score that deployment v2.4.1 is the root cause, backed by specific log evidence.
Causal Inference
Spike
v2.4.1
10:42:01 [INFO] Deployment v2.4.1 started
10:42:05 [INFO] Cache warmed up
10:42:08 [WARN] Potential N+1 query detected in 'fetchUserOrderHistory'
Query time: 1200ms (avg: 45ms)
10:42:09 [INFO] Health check passed
Evidence-Based Decision
Finally, the Recommendation Agent synthesizes the math and logs into a human narrative.
It recommends an immediate rollback to v2.4.0. This is an Evidence-Based Decision, ready for approval with one click.
Resolution Proposal
Deployment v2.4.1 introduced an N+1 query bug.