Your observability stack tells you what happened. ServiceHop builds operational models that tell you what it means — turning telemetry into architectural decisions.
Traditional observability stops at description. Metrics, logs and traces feed dashboards that still require human interpretation. ServiceHop introduces a modeling layer.
ServiceHop doesn't chart your metrics. It assesses service behavior — classifying stability, drift, efficiency, and risk from real traffic patterns.
Each service receives structured assessments across latency, reliability, and traffic dimensions. Not counters to watch, but conditions to understand and act on.
ServiceHop profiles what services send and receive. It classifies fields semantically, detects structural evolution, and identifies what can be cached and what cannot.
Every insight comes with scope, evidence, and confidence. Anomalies are correlated across dimensions. Recommendations cite the data behind them.
All data stays on your infrastructure. No telemetry leaves your network. No vendor lock-in, no external dependencies for core functionality.
Six integrated insight dimensions that work together to build a complete operational model of your service architecture.
Continuous behavioral assessment of latency stability, reliability posture, and traffic patterns. Each dimension classified independently with evidence and key observations.
Automated structural analysis of request and response payloads. Fields classified semantically — identifiers, queries, metadata, errors — producing a machine-readable interface model.
Simulates cache key strategies against real traffic. Evaluates hit rates, response similarity, and risks of incorrect reuse — quantifying optimization potential with concrete numbers.
Materializes end-to-end transaction flows across service boundaries. Identifies topology patterns, latency accumulation paths, and structural dependencies.
Groups related interactions into logical sessions. Measures journey duration, service breadth, error propagation, and detects anomalous interaction patterns.
Cross-service comparative analysis with health scores, traffic concentration metrics, efficiency rankings, and AI-generated architectural levers.
Individual service metrics don't reveal portfolio-level risk. ServiceHop evaluates your services comparatively — surfacing where attention, investment, and optimization will have the greatest impact across your entire service estate.
Health scores, traffic concentration analysis, efficiency rankings, active anomalies, and architectural levers — all computed continuously, all backed by evidence.