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Tango/04 Launches Alignia

Tango/04 Computing Group announced the launch of a new product that provides corporate monitoring for the extended company: Alignia.

Aliginia is a new Tango/04 integrated product that helps businesses operate fluidly, with no interruptions, in a safe environment and with absolute visibility.

Modules that compose Alignia are:

● Alignia for Online Business Services, to prevent and identify problems in transactions that operate online.

● Alignia for Business Processes, to be aware of inconveniences, bottle-necks and delays.

● Alignia for Business Applications, to control all the technology that supports services and processes.

● Alignia for Business Security, to identify security incidents and make the impact in any service, process or infrastructure completely visible.

“Alignia is the monitoring solution of the extended company that includes not only the own company but also its customers, suppliers, business partners and other third-parts, with whom Business should be interrelated and also should be controlled to ensure operations. Actually for IT, controlling only the own company is no longer enough,” says Raul Cristian Aguirre, Tango/04’s CEO.

Alignia helps both, IT and Business, as it promotes a global vision over technical information and aligns expectations. Allows for obtaining a shared vision of all the business, with accurate and detailed information for each type of user: business users, service managers, IT and Security teams.

The solution incorporates, embedded in the product, the knowledge of 15 years of experience in hundreds of monitoring projects, and the wizard to control any online service, process, technology and also information security.

Alignia includes dashboards and functionalities such as business activity and user experience, ready to use in the product with no need of previous configuration, providing greater scalability with a simple configuration and minimum maintenance.

Deployment of Alignia is done in days and gives immediate results. It is completely integratable with any pre-existing technology, allowing companies to take advantage of their previous investments. Companies in Europe, Latin America and the United States, such as Zurich Financial Services, are already successfully using Alignia (for Online Services) to monitor their online business services.

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 ...

Tango/04 Launches Alignia

Tango/04 Computing Group announced the launch of a new product that provides corporate monitoring for the extended company: Alignia.

Aliginia is a new Tango/04 integrated product that helps businesses operate fluidly, with no interruptions, in a safe environment and with absolute visibility.

Modules that compose Alignia are:

● Alignia for Online Business Services, to prevent and identify problems in transactions that operate online.

● Alignia for Business Processes, to be aware of inconveniences, bottle-necks and delays.

● Alignia for Business Applications, to control all the technology that supports services and processes.

● Alignia for Business Security, to identify security incidents and make the impact in any service, process or infrastructure completely visible.

“Alignia is the monitoring solution of the extended company that includes not only the own company but also its customers, suppliers, business partners and other third-parts, with whom Business should be interrelated and also should be controlled to ensure operations. Actually for IT, controlling only the own company is no longer enough,” says Raul Cristian Aguirre, Tango/04’s CEO.

Alignia helps both, IT and Business, as it promotes a global vision over technical information and aligns expectations. Allows for obtaining a shared vision of all the business, with accurate and detailed information for each type of user: business users, service managers, IT and Security teams.

The solution incorporates, embedded in the product, the knowledge of 15 years of experience in hundreds of monitoring projects, and the wizard to control any online service, process, technology and also information security.

Alignia includes dashboards and functionalities such as business activity and user experience, ready to use in the product with no need of previous configuration, providing greater scalability with a simple configuration and minimum maintenance.

Deployment of Alignia is done in days and gives immediate results. It is completely integratable with any pre-existing technology, allowing companies to take advantage of their previous investments. Companies in Europe, Latin America and the United States, such as Zurich Financial Services, are already successfully using Alignia (for Online Services) to monitor their online business services.

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 ...