Multi-dimensional (transaction type, Job Item, etc.) visibility across Distributed ↔ IBM Z
PROBLEMS WE SOLVE
- Lack of unified visibility across CICS, IMS, SNA and core z/OS subsystems.
- Hard to determine where performance degradation begins (transaction layer, region, subsystem or Job Item).
- Mainframe blind spots due to minimal native metrics and fragmented toolsets.
- Difficult to perform root-cause analysis without correlating traces.
- Limited historical retention makes long-term trend analysis and audit difficult.
OUTCOMES
1
Accelerated root-cause analysis within mainframe tiers (CICS/IMS/SNA/zOS)
2
Improved stability and reduced performance incidents through real-time anomaly detection.
3
Full performance visibility into transaction behavior, transaction type and Job Item.
CORE CAPABILITIES
Packet-level and transaction tracing for mainframe access flows (CICS/IMS/DB2 endpoints)
Multi-dimensional latency decomposition (network delay vs. server response delay)
Microburst, congestion, and retransmission detection
Cross-domain correlation between distributed systems and mainframe access
Historical transaction and packet backtrace for forensic analysis
Restful API & data export to ITSM / SIEM / AIOps ecosystem
USE CASES
Users report slow Mainframe transactions
Netis identifies delayed responses, retransmission bursts, or increased mainframe-bound latency - without logs or code instrumentation.
Mainframe-backed application experiences unpredictable delays
Netis reconstructs transaction sequences from packet payloads, showing exactly which Job Items are slow.
Cross-domain teams cannot isolate the root cause
Netis correlates transaction performance, network anomalies, and path behavior, enabling unified troubleshooting
Mini architecture
🔹Passive deployment
🔹 0-consumption of resources
🔹 Transaction-level Performance Analytics
