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Xalient Launches Martina 2.0

Xalient announced the launch of its next generation AI-driven network intelligence platform, Martina 2.0.

Martina 2.0 is a comprehensive AIOps platform designed to focus on the user experience across different locations. By analyzing the operations of devices within each location, Martina 2.0 ensures high levels of resilience and performance are maintained, enabling customers to deliver a consistent, positive user experience across the organization’s network.
 
A robust and efficient solution for managing network devices across multiple locations, Martina 2.0 ensures high availability, resilience, and in essence makes the network invisible to users by providing customers with secure, reliable, predictable and performant connectivity – all the time. Providing network telemetry, reporting, observability, behavioral analysis, and network intelligence, Martina 2.0 delivers a visual representation and real-time monitoring of the user experience, predicting and trouble-shooting potential issues before they arise.
 
Martina 2.0 is built with advanced modular aspects which include:

Martina Observe, for network telemetry, reporting and observability. 

Martina Predict, which incorporates context-gathering capabilities to provide richer insights around network behavior and anomaly detection.  Martina Predict ingests device statistics such as utilization, latency and packet loss using machine learning algorithms to forecast future values, detect anomalies in real-time and identify seasonal patterns and trends.

Via a convenient mobile app, the C-Suite and CIOs/CISOs have complete visibility into the network service with easy-to-use, accurate data – at any time. With its modular design and scalable architecture Martina 2.0 can easily be expanded and adapted to accommodate growing and changing network requirements. And its out-of-the-box integration with popular IT service management (ITSM) platforms means there is streamlined communication between teams with faster response times, more effective issues resolution, and overall improved network operations.
 
Stephen Amstutz, Director of Innovation, Xalient, comments: “Through a very intuitive and easy-to-use interface, this next generation of Martina lets our managed services team - in collaboration with the customer - know exactly what alerts they need to be prioritizing. This enables both Xalient and our customers to be more proactive in our impact assessments. For example, we could be monitoring over 2,000 sites and there might be 10 sites where we are experiencing a loss or impact to the service. We don’t have to wait for the customer to call us and point this out, we can proactively predict, monitor and prioritize action, reaching out to their support desk with our diagnostics to quickly resolve the issue.”
 
In summary, Martina 2.0 key features include:

- Real-time user experience monitoring
- Availability monitoring for optimal user experience
- Simple color-coded system status indicators
- Automatic device failure detection and recovery
- Customizable notifications and alerts
- Comprehensive reporting on device performance and user experience indicators
- Scalable and flexible architecture for evolving network infrastructure needs
- Out-of-the-box integration with popular ITSM platforms
- Behavioral analysis and forecasting including seasonal trends recognition
- Context gathering and real-time anomaly detection
- Comprehensive network data collection
- Metrics for impact assessment and issues location
- Automated root cause analysis and network troubleshooting
 
The next advanced module of Martina (Resolve) is already in development and in addition to all the above features will enable automated resolution. Martina 2.0 is part of Xalient’s Innovation Suite which includes its intelligent connectivity and cloud access solution, SONA. SONA is delivered as a complete managed service and provides cloud and inter-region connectivity in a more cost-effective OPEX model, simplifying the networking overheads for the customer, while improving the performance of their cloud services. Also included is WANDA, which enables organizations to deploy and maintain networks at speed and scale with consistent accuracy.

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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 ...

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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 ...

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Xalient Launches Martina 2.0

Xalient announced the launch of its next generation AI-driven network intelligence platform, Martina 2.0.

Martina 2.0 is a comprehensive AIOps platform designed to focus on the user experience across different locations. By analyzing the operations of devices within each location, Martina 2.0 ensures high levels of resilience and performance are maintained, enabling customers to deliver a consistent, positive user experience across the organization’s network.
 
A robust and efficient solution for managing network devices across multiple locations, Martina 2.0 ensures high availability, resilience, and in essence makes the network invisible to users by providing customers with secure, reliable, predictable and performant connectivity – all the time. Providing network telemetry, reporting, observability, behavioral analysis, and network intelligence, Martina 2.0 delivers a visual representation and real-time monitoring of the user experience, predicting and trouble-shooting potential issues before they arise.
 
Martina 2.0 is built with advanced modular aspects which include:

Martina Observe, for network telemetry, reporting and observability. 

Martina Predict, which incorporates context-gathering capabilities to provide richer insights around network behavior and anomaly detection.  Martina Predict ingests device statistics such as utilization, latency and packet loss using machine learning algorithms to forecast future values, detect anomalies in real-time and identify seasonal patterns and trends.

Via a convenient mobile app, the C-Suite and CIOs/CISOs have complete visibility into the network service with easy-to-use, accurate data – at any time. With its modular design and scalable architecture Martina 2.0 can easily be expanded and adapted to accommodate growing and changing network requirements. And its out-of-the-box integration with popular IT service management (ITSM) platforms means there is streamlined communication between teams with faster response times, more effective issues resolution, and overall improved network operations.
 
Stephen Amstutz, Director of Innovation, Xalient, comments: “Through a very intuitive and easy-to-use interface, this next generation of Martina lets our managed services team - in collaboration with the customer - know exactly what alerts they need to be prioritizing. This enables both Xalient and our customers to be more proactive in our impact assessments. For example, we could be monitoring over 2,000 sites and there might be 10 sites where we are experiencing a loss or impact to the service. We don’t have to wait for the customer to call us and point this out, we can proactively predict, monitor and prioritize action, reaching out to their support desk with our diagnostics to quickly resolve the issue.”
 
In summary, Martina 2.0 key features include:

- Real-time user experience monitoring
- Availability monitoring for optimal user experience
- Simple color-coded system status indicators
- Automatic device failure detection and recovery
- Customizable notifications and alerts
- Comprehensive reporting on device performance and user experience indicators
- Scalable and flexible architecture for evolving network infrastructure needs
- Out-of-the-box integration with popular ITSM platforms
- Behavioral analysis and forecasting including seasonal trends recognition
- Context gathering and real-time anomaly detection
- Comprehensive network data collection
- Metrics for impact assessment and issues location
- Automated root cause analysis and network troubleshooting
 
The next advanced module of Martina (Resolve) is already in development and in addition to all the above features will enable automated resolution. Martina 2.0 is part of Xalient’s Innovation Suite which includes its intelligent connectivity and cloud access solution, SONA. SONA is delivered as a complete managed service and provides cloud and inter-region connectivity in a more cost-effective OPEX model, simplifying the networking overheads for the customer, while improving the performance of their cloud services. Also included is WANDA, which enables organizations to deploy and maintain networks at speed and scale with consistent accuracy.

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 ...