In today’s era of hybrid cloud adoption, enterprises are seeking not just powerful integration tools but actionable insights into how their integrations perform in real time. Meet Loosehanger, a fictional omnichannel retail company that uses IBM webMethods Hybrid Integration to connect suppliers, stores, and customers through automated data and event-driven integrations.

As Loosehanger expanded its digital ecosystem, it relied on App Connect to orchestrate integrations between on-premises systems and cloud-based services. Ensuring that each Integration Runtime remained healthy, performant, and efficient became critical to their operations.

To address this, Loosehanger turned to the Accounting and Statistics feature within IBM webMethods Hybrid Integration — a feature designed to help teams monitor, analyse, and optimize their deployed integration resources — the applications, flows, and runtime components that power integrations across environments.

Understanding the Value: Why Accounting and Statistics Matter

In large-scale integration deployments, each runtime may contain multiple replicas, each handling a portion of traffic. Monitoring flow-level and resource-level statistics at this granularity ensures that businesses can:

• Quickly identify bottlenecks or underperforming replicas.

• Analyse flow-level throughput and latency.

• Optimize resource usage across replicas.

• Enable proactive scaling and fault-tolerance decisions.

These capabilities empower teams like Loosehanger’s IT operations to maintain high availability and operational efficiency across their hybrid integration landscape.

A Closer Look: Viewing Integration Runtime Statistics in Action

Loosehanger’s integration team manages and observes their deployed Integration Runtimes by opening the left menu in IBM webMethods Hybrid Integration, selecting App Connect, and then navigating to the Manage section where the list of runtimes is available. Each Integration Runtime represents a collection of underlying integration pods, ensuring redundancy and continuous availability.

Step 1: Navigating to the runtime details

From the App Connect Manage page, the team selects the Integration Runtime named loosehanger-order-processing.

Step 2: Selecting a Replica

Each Integration Runtime expands to show its available replicas. Selecting a specific replica allows the team to view Flow Statistics and Resource Statistics that apply uniquely to that replica.

Flow Statistics: Understanding Integration Performance

To gain deeper visibility, the Loosehanger team opens the Flow Statistics tab. Here, they observe how each integration message flows within the replica is processing in real time — including message throughput, failure rates, and transaction duration.

To display statistical data related to a specific message flow, click on the message flow name in the Flow Statistics table.

This live view helps them quickly pinpoint which flow nodes are consuming more resources or facing latency, enabling data-driven optimization and faster issue diagnosis.

Examining Resource Statistics

Next, the team navigates to the Resource Statistics tab, which provides detailed metrics on memory, active connections, and thread usage for the selected replica.

This tab displays statistics that are collected to record the performance and operating details of a deployed integration’s resources. This data helps indicate whether the available resources are being used efficiently.

With this view, Loosehanger’s operations team can continuously monitor system health, detect performance anomalies early, and ensure optimal resource utilization across replicas.

How It Works Behind the Scenes

Each Integration Runtime continuously emits flow and resource events that reflect its operational state. The Accounting and Statistics view collects these per‑replica metrics and presents them in real time, giving teams a clear operational view of how each replica is performing.

In Loosehanger’s environment, this means:

• Immediate awareness of performance degradation.

• Granular visibility into how traffic is distributed among replicas.

• Actionable insights that guide scaling and optimization decisions.

In addition to the live statistics available in the Flow and Resource Statistics view, CPU and memory metrics for each runtime are available on the Monitoring page. This page retains runtime performance data for a selectable window (up to the last 24 hours), allowing teams to analyse trends, plan capacity, and investigate recent performance issues.

Together, the live statistics view and historical monitoring complement each other — the former helps diagnose issues and understand current behaviour in detail, while the latter supports long-term performance analysis and optimization.

Conclusion

With Accounting and Statistics in IBM webMethods Hybrid Integration, enterprises gain full control and transparency over their runtimes — no matter how distributed or complex. From flow-level visibility to resource optimization, this capability is helping businesses like Loosehanger ensure reliability and performance at every step of their hybrid integration journey.

Note: The Flow and Resource Statistics capabilities are also available in IBM App Connect Enterprise as a Service (ACEaaS) under the VPC Hour plan, offering a similar monitoring experience for cloud-hosted deployments.