Unify and Monitor Your Integration Ecosystem with IANN

Enterprises today operate across multiple integration platforms including Sterling, MQ, Kafka, APIs, and MFT. While these systems enable connectivity, they often function in isolation.

This fragmentation leads to delayed issue detection, limited visibility, and increased operational risk across the integration landscape.

• Siloed monitoring across integration platforms
• Lack of real-time visibility into workflows
• Delayed issue detection and resolution
• Increased operational effort and cost
• Integration failures impacting business operations

Fragmented integration environments limit control and increase operational complexity.

What You Can Achieve with IANN Integration Monitoring

• Unified monitoring across all integration platforms
• Real-time visibility into data flows and system performance
• AI-driven orchestration for intelligent flow management
• Self-healing capabilities for automated issue resolution
• Improved control across hybrid and distributed environments

IANN brings intelligence, visibility, and control into a single integration layer.

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Correlate an API request, its message-queue handoff and the downstream file exchange. Validate which identifiers are available across the selected platforms and clearly mark any point where end-to-end tracing is incomplete.

Define the business exchanges that matter, then identify the applications, queues, APIs, files and event streams involved. Connect available processing identifiers and platform signals so an operator can follow an exception beyond a single component. IANN Monitor discussions should cover the actual integration estate and supported telemetry, rather than assume one vendor or runtime.

Validate missing transactions as well as reported failures. A file that never arrives, a growing message backlog and a repeated event can require different responses. Agree the expected processing window, alert ownership and investigation evidence for each case. Where automation is in scope, test approval, retry limits and escalation before enabling operational actions.

Prepare the integration inventory, service commitments, current monitoring rules and recent incident examples. Define an initial coverage set and measure alert usefulness against real operating cases. The handover should explain signal collection, correlation limits, runbook ownership and how monitoring changes are reviewed as the estate evolves.