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INETCO Enters Mainstream APM Market with New INETCO Insight 5

Agentless tracking of transaction performance across all on-premise, third party and cloud-based applications

APMDIGEST ADVANCE EXCLUSIVE: On Monday, December 5, INETCO Systems, a provider of transaction-level monitoring solutions for the payment processing industry, will announce their entry into the mainstream application performance monitoring (APM) space with the release of INETCO Insight 5.

INETCO Insight 5 is an APM solution that eliminates transaction blind spots across on-premise, third party, virtual and cloud-based applications - without agents, code changes, or transaction tagging.

INETCO Insight has already gained leadership in transaction-level monitoring solution within the complex, high-volume payment processing industry. The release of INETCO Insight 5 makes it possible to extend the following proven benefits to IT operations and applications support teams across all industries:

- Easily manage the performance of all critical service applications and networks

- Deliver continuous interoperability between multiple applications in a cost effective manner

- Speed up the isolation of root cause issues impacting the end user experience, anywhere along a transaction path

"Transaction profiling is a powerful dimension of application performance monitoring, but it hasn't always been the easiest technology to deploy and configure due to its overhead and complexity when dealing with multi-tiered applications," says Jonah Kowall, Research Director at Gartner Inc. and co-author of the Application Performance Monitoring (APM) Magic Quadrant. "A no-touch, network-based transaction profiling approach overcomes some of these barriers, making transaction performance more easily accessible to a broader base of organizations."

Over the past few years, there has been a renewed interest in application performance monitoring. IT operations are paying more attention to customer-centric performance metrics. They need solutions that can provide a holistic view into the performance of all their critical applications, outsourced services, cloud-based infrastructures, and growing portfolio of transaction profiles.

Gartner estimates that, in 2011, approximately $2 billion will be spent globally on APM licenses and first-year maintenance contracts. This represents a 15% increase, compared with the $1.7 billion spent on this technology in 2010, which, in turn, grew by about 10% over the global spend in 2009. (Taken from the APM Magic Quadrant report released on September 19, 2011)

“Transaction monitoring has always had the ability to make IT smarter,” says Bijan Sanii, CEO of INETCO. “But, the complexity and ongoing cost of the technology has prevented the vast majority of enterprises from adopting this critical dimension of APM. The INETCO Insight 5 approach to transaction profiling is affordable to deploy and maintain, yet it handles extremely high transaction volumes. Coupled with the multilayered transaction model at the core of INETCO Insight 5, the product makes it extremely easy for IT organizations to readily understand how business processes unfold across diverse application and infrastructure components.”

Features unique to INETCO Insight 5 include:

Agentless transaction profiling across layers 2-7 – INETCO Insight 5 exposes the roots of every business transaction, correlating network response times and payload information across multiple application services within on-premise, third party, virtual and cloud-based infrastructures. Unlike heavy, agent-based APM solutions, INETCO Insight 5 captures this intelligence at the network level, without agents, transaction tagging or code changes.

Performance visibility across multiple application services – INETCO Insight 5 can monitor end-to-end transaction paths made up of distributed and enterprise networks, third party services, cloud-based and mobile infrastructures. The correlation engine within INETCO Insight 5 captures and displays a unified view of all the application protocols, message types, inter-communication details and network response times that make up a transaction.

Extensive libraries of standard and proprietary protocol decoding – INETCO Insight 5 features expandable protocol libraries that make it easy to continuously scale transaction monitoring capabilities. They include a wide range of business messaging protocols, including those based on open standards like XML, HTTP, and AMQP 1.0 and proprietary protocols such as ISO 8583, Visa 2, and MS SQL. New formats can be created and existing formats customized quickly to meet unique requirements.

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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 ...

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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 Enters Mainstream APM Market with New INETCO Insight 5

Agentless tracking of transaction performance across all on-premise, third party and cloud-based applications

APMDIGEST ADVANCE EXCLUSIVE: On Monday, December 5, INETCO Systems, a provider of transaction-level monitoring solutions for the payment processing industry, will announce their entry into the mainstream application performance monitoring (APM) space with the release of INETCO Insight 5.

INETCO Insight 5 is an APM solution that eliminates transaction blind spots across on-premise, third party, virtual and cloud-based applications - without agents, code changes, or transaction tagging.

INETCO Insight has already gained leadership in transaction-level monitoring solution within the complex, high-volume payment processing industry. The release of INETCO Insight 5 makes it possible to extend the following proven benefits to IT operations and applications support teams across all industries:

- Easily manage the performance of all critical service applications and networks

- Deliver continuous interoperability between multiple applications in a cost effective manner

- Speed up the isolation of root cause issues impacting the end user experience, anywhere along a transaction path

"Transaction profiling is a powerful dimension of application performance monitoring, but it hasn't always been the easiest technology to deploy and configure due to its overhead and complexity when dealing with multi-tiered applications," says Jonah Kowall, Research Director at Gartner Inc. and co-author of the Application Performance Monitoring (APM) Magic Quadrant. "A no-touch, network-based transaction profiling approach overcomes some of these barriers, making transaction performance more easily accessible to a broader base of organizations."

Over the past few years, there has been a renewed interest in application performance monitoring. IT operations are paying more attention to customer-centric performance metrics. They need solutions that can provide a holistic view into the performance of all their critical applications, outsourced services, cloud-based infrastructures, and growing portfolio of transaction profiles.

Gartner estimates that, in 2011, approximately $2 billion will be spent globally on APM licenses and first-year maintenance contracts. This represents a 15% increase, compared with the $1.7 billion spent on this technology in 2010, which, in turn, grew by about 10% over the global spend in 2009. (Taken from the APM Magic Quadrant report released on September 19, 2011)

“Transaction monitoring has always had the ability to make IT smarter,” says Bijan Sanii, CEO of INETCO. “But, the complexity and ongoing cost of the technology has prevented the vast majority of enterprises from adopting this critical dimension of APM. The INETCO Insight 5 approach to transaction profiling is affordable to deploy and maintain, yet it handles extremely high transaction volumes. Coupled with the multilayered transaction model at the core of INETCO Insight 5, the product makes it extremely easy for IT organizations to readily understand how business processes unfold across diverse application and infrastructure components.”

Features unique to INETCO Insight 5 include:

Agentless transaction profiling across layers 2-7 – INETCO Insight 5 exposes the roots of every business transaction, correlating network response times and payload information across multiple application services within on-premise, third party, virtual and cloud-based infrastructures. Unlike heavy, agent-based APM solutions, INETCO Insight 5 captures this intelligence at the network level, without agents, transaction tagging or code changes.

Performance visibility across multiple application services – INETCO Insight 5 can monitor end-to-end transaction paths made up of distributed and enterprise networks, third party services, cloud-based and mobile infrastructures. The correlation engine within INETCO Insight 5 captures and displays a unified view of all the application protocols, message types, inter-communication details and network response times that make up a transaction.

Extensive libraries of standard and proprietary protocol decoding – INETCO Insight 5 features expandable protocol libraries that make it easy to continuously scale transaction monitoring capabilities. They include a wide range of business messaging protocols, including those based on open standards like XML, HTTP, and AMQP 1.0 and proprietary protocols such as ISO 8583, Visa 2, and MS SQL. New formats can be created and existing formats customized quickly to meet unique requirements.

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 ...