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Nastel Navigator Available on Red Hat Marketplace

Nastel Technologies announced that Nastel Navigator is now available through Red Hat Marketplace.

Red Hat Marketplace is an open cloud marketplace for enterprise customers to discover, try, purchase, deploy, and manage certified container-based software across environments—public and private, cloud and on-premises. Through the marketplace, customers can take advantage of responsive support, streamlined billing and contracting, simplified governance, and single-dashboard visibility across clouds.

Nastel Navigator enables enterprises to manage and monitor multiple middlewares across hybrid clouds from a single dashboard with secure self service. Navigator currently supports Kafka, IBM MQ, and TIBCO EMS with IBM App Connect Enterprise, IBM DataPower, RabbitMQ and ActiveMQ coming soon.

Nastel CTO Albert Mavashev said: “We have seen a strong trend in our customers wanting to move to hybrid cloud and containers. Red Hat OpenShift and heterogeneous middleware are key platforms for enabling this.” Richard Nikula, Nastel’s VP of Product Development said “Nastel Navigator enables enterprises to accelerate migration of the existing middleware environments as well as to develop and manage new solutions in private, public and hybrid cloud and on-premise, improving time to market whilst reducing cost and risk”.

Built in collaboration with Red Hat and IBM, Red Hat Marketplace delivers a hybrid multi cloud trifecta for organizations moving into the next era of computing: a robust ecosystem of partners, an industry-leading Kubernetes container platform, and award-winning commercial support—all on a highly scalable backend powered by IBM. A private, personalized marketplace is also available through Red Hat Marketplace Select, enabling clients to provide their teams with easier access to curated software their organizations have pre-approved.

Red Hat Marketplace is designed to meet the unique needs of developers, procurement teams and IT leaders through simplified and streamlined access to popular enterprise software. All solutions available through the marketplace have been tested and certified for Red Hat OpenShift, allowing them to run anywhere OpenShift runs. A containers-based approach helps ensure that applications can be run and managed the exact same way, regardless of the underlying cloud infrastructure. This gives companies the flexibility to run their workloads on premises or in any public or private cloud with improved portability and confidence that their applications and data are protected against vendor lock-in.

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AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

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In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

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AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

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For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Nastel Navigator Available on Red Hat Marketplace

Nastel Technologies announced that Nastel Navigator is now available through Red Hat Marketplace.

Red Hat Marketplace is an open cloud marketplace for enterprise customers to discover, try, purchase, deploy, and manage certified container-based software across environments—public and private, cloud and on-premises. Through the marketplace, customers can take advantage of responsive support, streamlined billing and contracting, simplified governance, and single-dashboard visibility across clouds.

Nastel Navigator enables enterprises to manage and monitor multiple middlewares across hybrid clouds from a single dashboard with secure self service. Navigator currently supports Kafka, IBM MQ, and TIBCO EMS with IBM App Connect Enterprise, IBM DataPower, RabbitMQ and ActiveMQ coming soon.

Nastel CTO Albert Mavashev said: “We have seen a strong trend in our customers wanting to move to hybrid cloud and containers. Red Hat OpenShift and heterogeneous middleware are key platforms for enabling this.” Richard Nikula, Nastel’s VP of Product Development said “Nastel Navigator enables enterprises to accelerate migration of the existing middleware environments as well as to develop and manage new solutions in private, public and hybrid cloud and on-premise, improving time to market whilst reducing cost and risk”.

Built in collaboration with Red Hat and IBM, Red Hat Marketplace delivers a hybrid multi cloud trifecta for organizations moving into the next era of computing: a robust ecosystem of partners, an industry-leading Kubernetes container platform, and award-winning commercial support—all on a highly scalable backend powered by IBM. A private, personalized marketplace is also available through Red Hat Marketplace Select, enabling clients to provide their teams with easier access to curated software their organizations have pre-approved.

Red Hat Marketplace is designed to meet the unique needs of developers, procurement teams and IT leaders through simplified and streamlined access to popular enterprise software. All solutions available through the marketplace have been tested and certified for Red Hat OpenShift, allowing them to run anywhere OpenShift runs. A containers-based approach helps ensure that applications can be run and managed the exact same way, regardless of the underlying cloud infrastructure. This gives companies the flexibility to run their workloads on premises or in any public or private cloud with improved portability and confidence that their applications and data are protected against vendor lock-in.

The Latest

AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...