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Correlsense Announces SharePath for IBM WebSphere Message Broker

Correlsense introduced SharePath for IBM WebSphere Message Broker (WMB).

This latest enhancement to SharePath 3.0, the company’s enterprise-class APM solution for managing complex interconnected applications, is ideal for any organization relying on IBM middleware for its transactional backbone.

As applications become increasingly connected, businesses are employing Enterprise Service Buses (ESBs) to handle the communications between disparate applications and services. Using an ESB, however, introduces new management challenges. They are often decoupled from the core application and execute business logic and code which adds complexity while increasing the time to detect and isolate performance issues.

Unlike other middleware management solutions that focus on infrastructure monitoring, SharePath for IBM WebSphere Message Broker offers more granular visibility into the complete flow of individual message flows into, within and out of the ESB. This provides indisputable proof about where performance problems and errors occur, whether within message broker, in which node, or within the backend services or applications.

SharePath follows each message flow through its nodes and external services, and logs all this detailed information in a scalable big data repository, including parameters, values and exception errors of each execution.

In addition to extensive built-in logging, auditing, and tracking of all messages, SharePath provides trending and change analysis to track performance over time.

SharePath for WebSphere Message Broker gives middleware owners, IT operations and production support teams the ability to quickly understand dependencies and identify middleware bottlenecks.

SharePath for IBM WebSphere Message Broker:

- Enables IT operations teams to easily find “lost messages” by any search criteria through a simple full-text search.

- Provides the most accurate bottleneck detection on the market today by tracking and logging every single message flow across its execution, including usage of external services and resources, and shows whether bottlenecks are within WMB or outside of it.

- Automatically detects all message flows and their external dependencies to provide an always up-to-date dependency mapping. No manual configuration is required when message flows are updated or new message flows are deployed.

“SharePath for IBM WebSphere Message Broker empowers organizations to gain control over a critical enterprise component,” said Nir Livni, VP of Products. “Organizations using SharePath no longer have to build extensive, costly and error-prone logging and tracking mechanisms to understand what happened to a specific message and whether it succeeded or failed.”

SharePath for IBM WebSphere Message Broker is available immediately as a standalone offering or as a part of a complete end-to-end APM solution based on SharePath 3.0.

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Correlsense Announces SharePath for IBM WebSphere Message Broker

Correlsense introduced SharePath for IBM WebSphere Message Broker (WMB).

This latest enhancement to SharePath 3.0, the company’s enterprise-class APM solution for managing complex interconnected applications, is ideal for any organization relying on IBM middleware for its transactional backbone.

As applications become increasingly connected, businesses are employing Enterprise Service Buses (ESBs) to handle the communications between disparate applications and services. Using an ESB, however, introduces new management challenges. They are often decoupled from the core application and execute business logic and code which adds complexity while increasing the time to detect and isolate performance issues.

Unlike other middleware management solutions that focus on infrastructure monitoring, SharePath for IBM WebSphere Message Broker offers more granular visibility into the complete flow of individual message flows into, within and out of the ESB. This provides indisputable proof about where performance problems and errors occur, whether within message broker, in which node, or within the backend services or applications.

SharePath follows each message flow through its nodes and external services, and logs all this detailed information in a scalable big data repository, including parameters, values and exception errors of each execution.

In addition to extensive built-in logging, auditing, and tracking of all messages, SharePath provides trending and change analysis to track performance over time.

SharePath for WebSphere Message Broker gives middleware owners, IT operations and production support teams the ability to quickly understand dependencies and identify middleware bottlenecks.

SharePath for IBM WebSphere Message Broker:

- Enables IT operations teams to easily find “lost messages” by any search criteria through a simple full-text search.

- Provides the most accurate bottleneck detection on the market today by tracking and logging every single message flow across its execution, including usage of external services and resources, and shows whether bottlenecks are within WMB or outside of it.

- Automatically detects all message flows and their external dependencies to provide an always up-to-date dependency mapping. No manual configuration is required when message flows are updated or new message flows are deployed.

“SharePath for IBM WebSphere Message Broker empowers organizations to gain control over a critical enterprise component,” said Nir Livni, VP of Products. “Organizations using SharePath no longer have to build extensive, costly and error-prone logging and tracking mechanisms to understand what happened to a specific message and whether it succeeded or failed.”

SharePath for IBM WebSphere Message Broker is available immediately as a standalone offering or as a part of a complete end-to-end APM solution based on SharePath 3.0.

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In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...