Mainframe Solution
Multi-dimensional visibility across distributed systems and IBM Z
Deliver real-time observability for CICS/IMS/z/OS environments, providing precise performance insights, anomaly detection, and rapid issue localization within the mainframe.
Agentless by design. Agentless by design. Passive, out-of-band traffic capture delivers mainframe insights without modifying CICS/IMS/z/OS environments.
Problems We Solve
Where Distributed Systems and IBM Z Slow Down
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 that Matter
Accelerated RCA
Faster root-cause analysis within mainframe tiers (CICS/IMS/SNA/z/OS).
Fewer incidents
Improved stability by detecting anomalies in real time and reducing performance incidents.
Visibility by dimension
Full performance visibility into transaction behavior, transaction type, and Job Item.
What You Can See
What You Can See by Transaction and Job Item
Packet-level + transaction tracing
Trace mainframe access flows and transactions across CICS/IMS/DB2 endpoints.
Multi-dimensional latency decomposition
Break down latency by domain (e.g., network delay vs. server response delay) to pinpoint the fault domain faster.
Microburst / congestion / retransmission detection
Detect transient traffic patterns that drive unpredictable delays and retries.
Cross-domain correlation (distributed systems and mainframe)
Correlate performance between distributed systems and mainframe access to support cross-team troubleshooting.
Historical backtrace for forensics
Reconstruct historical transactions and packet paths to support investigation and audit workflows.
RESTful APIs for toolchain integration
Integrate with existing ITSM/SIEM platforms via RESTful APIs (specific targets to be confirmed).
How Teams Use It
Real-World Scenarios
Slow mainframe transactions
Users report slow mainframe transactions.
Netis identifies delayed responses, retransmission bursts, or increased mainframe-bound latency, without logs or code instrumentation.
Unpredictable delays on mainframe-backed apps
A mainframe-backed application experiences unpredictable delay.
Netis reconstructs transaction sequences from packet payloads, showing exactly which Job Items are slow.
Cross-domain teams cannot isolate root cause
Cross-domain teams cannot isolate the root cause.
Netis correlates transaction performance, network anomalies, and path behavior, enabling unified troubleshooting.
Deployment at a Glance
Deployment at a Glance
Passive deployment provides transaction-level performance analytics without adding resource consumption to the monitored workloads.
- Passive deployment
- Zero consumption of resources
- Transaction-level Performance Analytics
Get Started with Netis
See how Netis unites full-stack observability with packet-level truth to catch issues earlier and resolve root causes faster.
Contact Us