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Nastel Navigator Available on Azure Marketplace

Nastel Technologies announced the immediate availability of Nastel Navigator on Azure Marketplace.

Nastel Navigator enables customers to dramatically reduce the operational risk of delivering a multi-cloud digital strategy by taking charge of their messaging backbone of IBM MQ, Apache Kafka and its variants, and TIBCO EMS.

The solution enables Azure-centric customers, as well as customers with legacy infrastructures migrating to Azure and multi-cloud, to manage and automate their middleware-powered deployments through their entire business, boost productivity and overall efficiency of administrators, engineering, and operations teams to ensure smooth, uninterrupted delivery of mission-critical digital services.

Customers can lock down access to the middleware with a highly granular level of access control, with auditing, approvals, LDAP integration, roll-back, and managing at scale from a single point. Furthermore, this powerful access security enables the application teams to see and work on their environment without any risk of affecting anyone else. Locking it down opens it up to secure self-service, removing the middleware team from being a bottleneck in application development and support and enabling business solutions to be delivered to market faster.

Nastel Cloud Services Director Sam Garforth says, “... Azure Marketplace makes it far easier to deploy and update our software and allows them to migrate their middleware to Azure with confidence.”

Nastel Navigator and the Nastel platform integrate with DevOps automation technologies such as Ansible, Terraform, Chef, Puppet, CloudFormation, and Git, enabling the reliable repeatable deployment of infrastructure as code along with the secure governance that Navigator provides.

Navigator is also valuable for application developers and testers, allowing them to easily create test messages, search for lost messages, and move misplaced ones.

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

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Nastel Navigator Available on Azure Marketplace

Nastel Technologies announced the immediate availability of Nastel Navigator on Azure Marketplace.

Nastel Navigator enables customers to dramatically reduce the operational risk of delivering a multi-cloud digital strategy by taking charge of their messaging backbone of IBM MQ, Apache Kafka and its variants, and TIBCO EMS.

The solution enables Azure-centric customers, as well as customers with legacy infrastructures migrating to Azure and multi-cloud, to manage and automate their middleware-powered deployments through their entire business, boost productivity and overall efficiency of administrators, engineering, and operations teams to ensure smooth, uninterrupted delivery of mission-critical digital services.

Customers can lock down access to the middleware with a highly granular level of access control, with auditing, approvals, LDAP integration, roll-back, and managing at scale from a single point. Furthermore, this powerful access security enables the application teams to see and work on their environment without any risk of affecting anyone else. Locking it down opens it up to secure self-service, removing the middleware team from being a bottleneck in application development and support and enabling business solutions to be delivered to market faster.

Nastel Cloud Services Director Sam Garforth says, “... Azure Marketplace makes it far easier to deploy and update our software and allows them to migrate their middleware to Azure with confidence.”

Nastel Navigator and the Nastel platform integrate with DevOps automation technologies such as Ansible, Terraform, Chef, Puppet, CloudFormation, and Git, enabling the reliable repeatable deployment of infrastructure as code along with the secure governance that Navigator provides.

Navigator is also valuable for application developers and testers, allowing them to easily create test messages, search for lost messages, and move misplaced ones.

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...