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INETCO Insight 5.2 APM Product Released

INETCO Systems announced the release of INETCO Insight 5.2.

INETCO Insight captures every network transaction in real-time, correlates all application, infrastructure and response timing data, and isolates underperforming application and network components – without the use of agents, extra traffic loads or code changes.

"Our research shows that a transaction-centric approach to APM reduces mean-time-to-repair for incidents in multi-tier applications by over 70%," says Bojan Simic, President and Principal Analyst at TRAC Research. "However, the management overhead of agent-based transaction monitoring solutions can be a challenge in many application environments - only 39% of organizations adopt a transaction-centric approach to APM. INETCO Insight's ability to provide rich transaction analytics without agents, code changes, or network appliances eases these deployment challenges for organizations."

INETCO Insight 5.2 builds on the core INETCO Insight 5 capabilities with the addition of an analytics service that tracks transaction usage and performance characteristics for individual objects (e.g. users, devices, hosts) and reports this data through both the user interface and an API.

Included in this release:

- A dashboard object view component to provide IT Operations teams with the framework needed to access actionable transaction statistics, such as how many times a particular user has experienced a transaction decline.

- An application programming interface (API) that provides OEM integration partners with a way to stream transaction-based data captured by INETCO Insight to any management system console, leveraging flexible, network-based INETCO Insight collectors that can run in virtual, Cloud and SaaS environments.

A field programmable interface that enables creation of customized statistics specific to customer's application environments.

"APM should provide clear solutions, not just monitoring. To achieve this, our customers and partners need easy access to transaction usage and performance data, whether it be to feed a fraud monitoring application, add a critical transaction-centric view to their systems management tools, or enhance a business analytics system," says Bijan Sanii, President and CEO of INETCO. "With INETCO Insight 5.2, they bypass the custom integration projects and agents typically required, and now gain access to rich transaction information using non-invasive, network-based capture mechanisms."

INETCO Insight 5 was made generally available in September 2012. The product's core event processing platform was re-architected to address the needs of IT operations teams who want to monitor any business critical services or applications found within their production environment.

Some of the major enhancements featured in this release:

- An extensive decoding engine that lets IT operations teams quickly decode hundreds of internet, transport, proprietary and application protocols out-of-the-box and enables INETCO to rapidly add support for others as required.

- A converged view into application and network performance data for monitoring the service delivery of every individual transaction.

- More data visualization options and hop-by-hop topology mapping capabilities for faster problem isolation.

The Latest

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 ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

INETCO Insight 5.2 APM Product Released

INETCO Systems announced the release of INETCO Insight 5.2.

INETCO Insight captures every network transaction in real-time, correlates all application, infrastructure and response timing data, and isolates underperforming application and network components – without the use of agents, extra traffic loads or code changes.

"Our research shows that a transaction-centric approach to APM reduces mean-time-to-repair for incidents in multi-tier applications by over 70%," says Bojan Simic, President and Principal Analyst at TRAC Research. "However, the management overhead of agent-based transaction monitoring solutions can be a challenge in many application environments - only 39% of organizations adopt a transaction-centric approach to APM. INETCO Insight's ability to provide rich transaction analytics without agents, code changes, or network appliances eases these deployment challenges for organizations."

INETCO Insight 5.2 builds on the core INETCO Insight 5 capabilities with the addition of an analytics service that tracks transaction usage and performance characteristics for individual objects (e.g. users, devices, hosts) and reports this data through both the user interface and an API.

Included in this release:

- A dashboard object view component to provide IT Operations teams with the framework needed to access actionable transaction statistics, such as how many times a particular user has experienced a transaction decline.

- An application programming interface (API) that provides OEM integration partners with a way to stream transaction-based data captured by INETCO Insight to any management system console, leveraging flexible, network-based INETCO Insight collectors that can run in virtual, Cloud and SaaS environments.

A field programmable interface that enables creation of customized statistics specific to customer's application environments.

"APM should provide clear solutions, not just monitoring. To achieve this, our customers and partners need easy access to transaction usage and performance data, whether it be to feed a fraud monitoring application, add a critical transaction-centric view to their systems management tools, or enhance a business analytics system," says Bijan Sanii, President and CEO of INETCO. "With INETCO Insight 5.2, they bypass the custom integration projects and agents typically required, and now gain access to rich transaction information using non-invasive, network-based capture mechanisms."

INETCO Insight 5 was made generally available in September 2012. The product's core event processing platform was re-architected to address the needs of IT operations teams who want to monitor any business critical services or applications found within their production environment.

Some of the major enhancements featured in this release:

- An extensive decoding engine that lets IT operations teams quickly decode hundreds of internet, transport, proprietary and application protocols out-of-the-box and enables INETCO to rapidly add support for others as required.

- A converged view into application and network performance data for monitoring the service delivery of every individual transaction.

- More data visualization options and hop-by-hop topology mapping capabilities for faster problem isolation.

The Latest

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 ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...