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Nastel Navigator 10.2 Released

Nastel Technologies announced the immediate availability of Navigator 10.2, a messaging middleware administration & configuration management solution for banks and global enterprises.

IBM Integration Bus (IIB) and IBM MQ are central to global banks. New messaging middleware workloads leveraging open source technologies like Kafka create even more complexity for banks and financial services companies as they execute their Cloud strategies.

Nastel now provides much-needed centralized management for managing any combination of IIB, IBM MQ, Apache Kafka and its variants, IBM ACE and TIBCO EMS environments, including:

• Centralized Configuration, Management and Automation of Entire Multi-vendor Estates

• Self-Service for Development and DevOps efficiency and Faster Time-to-Market for New Applications

• Customizable Multi-middleware Dashboard and Views

Nastel’s platform also provides centralized monitoring and alerting that extends the IIB, MQ, ACE, Kafka and TIBCO EMS management and intelligence to include popular open source, Cloud-optimized RabbitMQ, ActiveMQ, Solace and other integration-layer middleware, application, and enterprise infrastructure elements.

“Legacy management tools from BMC and others fill the ops budget but don’t provide the needed centralized control to mitigate growing risks and centralize management and intelligence from the integration layer” said Steven Menges, Head of Product Management at Nastel Technologies. “Monitoring and analytics tools from other leading vendors lacked the capability to extract the needed intelligence from the critical multi-vendor messaging middleware layer for banks and others, so Nastel addressed all these needs for modern enterprises.”

Nastel’s solution is architected to seamlessly support any hybrid combination of Cloud, physical servers and VMs, IBM iSeries (AS/400, Power), and mainframe, and the Nastel software can be deployed on-premise, via Cloud marketplace, or anything in-between.

Cloud Migration-related and middleware upgrade-related enhancements include powerful “compare & clone” capability along with “rollback,” which has already enabled an average 45% reduction in time spent dealing with the complexity of large-scale middleware deployments, as reported by Nastel enterprise customers managing large MQ and multi-middleware estates. Enterprises now also have a glidepath and powerful tool to use to upgrade to App Connect Enterprise 11 (and ACE 12 when it is released), whenever they are ready to the make the jump.

“Seamless, unified management of IIB, Kafka, TIBCO EMS, ACE and IBM MQ environments saves our customers countless hours of work, and reduces their risk of outages and slowdowns. The self-service capability also enabled a further 67% reduction in spontaneous requests for middleware administration services from application development and Operations (or DevOps) teams as well.” said Nastel CTO Albert Mavashev. “Also adding AIOps’ machine learning and transaction tracking, which extracts intelligence from customers’ previous investments in their messaging middleware, enables new ROI from their IBM, Kafka and TIBCO investments.”

This new release also includes enhancements to ServiceNow integration and automation, advanced filtering, customizable “colors” for each middleware vendor and type, and other efficiency enhancements for multi-middleware and IT operations teams.

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 ...

Nastel Navigator 10.2 Released

Nastel Technologies announced the immediate availability of Navigator 10.2, a messaging middleware administration & configuration management solution for banks and global enterprises.

IBM Integration Bus (IIB) and IBM MQ are central to global banks. New messaging middleware workloads leveraging open source technologies like Kafka create even more complexity for banks and financial services companies as they execute their Cloud strategies.

Nastel now provides much-needed centralized management for managing any combination of IIB, IBM MQ, Apache Kafka and its variants, IBM ACE and TIBCO EMS environments, including:

• Centralized Configuration, Management and Automation of Entire Multi-vendor Estates

• Self-Service for Development and DevOps efficiency and Faster Time-to-Market for New Applications

• Customizable Multi-middleware Dashboard and Views

Nastel’s platform also provides centralized monitoring and alerting that extends the IIB, MQ, ACE, Kafka and TIBCO EMS management and intelligence to include popular open source, Cloud-optimized RabbitMQ, ActiveMQ, Solace and other integration-layer middleware, application, and enterprise infrastructure elements.

“Legacy management tools from BMC and others fill the ops budget but don’t provide the needed centralized control to mitigate growing risks and centralize management and intelligence from the integration layer” said Steven Menges, Head of Product Management at Nastel Technologies. “Monitoring and analytics tools from other leading vendors lacked the capability to extract the needed intelligence from the critical multi-vendor messaging middleware layer for banks and others, so Nastel addressed all these needs for modern enterprises.”

Nastel’s solution is architected to seamlessly support any hybrid combination of Cloud, physical servers and VMs, IBM iSeries (AS/400, Power), and mainframe, and the Nastel software can be deployed on-premise, via Cloud marketplace, or anything in-between.

Cloud Migration-related and middleware upgrade-related enhancements include powerful “compare & clone” capability along with “rollback,” which has already enabled an average 45% reduction in time spent dealing with the complexity of large-scale middleware deployments, as reported by Nastel enterprise customers managing large MQ and multi-middleware estates. Enterprises now also have a glidepath and powerful tool to use to upgrade to App Connect Enterprise 11 (and ACE 12 when it is released), whenever they are ready to the make the jump.

“Seamless, unified management of IIB, Kafka, TIBCO EMS, ACE and IBM MQ environments saves our customers countless hours of work, and reduces their risk of outages and slowdowns. The self-service capability also enabled a further 67% reduction in spontaneous requests for middleware administration services from application development and Operations (or DevOps) teams as well.” said Nastel CTO Albert Mavashev. “Also adding AIOps’ machine learning and transaction tracking, which extracts intelligence from customers’ previous investments in their messaging middleware, enables new ROI from their IBM, Kafka and TIBCO investments.”

This new release also includes enhancements to ServiceNow integration and automation, advanced filtering, customizable “colors” for each middleware vendor and type, and other efficiency enhancements for multi-middleware and IT operations teams.

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 ...