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Blue Medora Launches BindPlane

Blue Medora announces a new service, BindPlane – a monitoring integration service that connects the health and performance data on enterprise technologies with the IT performance monitoring and analytics platforms. The new integration service is a departure from the traditional platform-to-plugin approach and instead provides a single monitoring integration service that connects any analytics platform to the health and performance data on the top enterprise technologies instantly. BindPlane addresses the fundamental limitations of platform-specific plugins that are standard across IT monitoring and operations analytics today. It’s easy to adopt, adapt and afford, connecting the most common enterprise technologies with the most popular APM, ITIM, ITOA and CMP platforms. The early adoption release, available today, expands the aperture of New Relic, VMware Wavefront, SignalFx and others. Unlike community or open-source plugins, which typically rely on flat metrics, BindPlane delivers Dimensional Data, which enhances health and performance metrics with critical metadata about the inter- and intra-relationships between all the metrics in the IT stack, representing a new way to approach source system integration for all monitoring solutions–one that includes context. “BindPlane is a major shift in integration strategy, reflecting the move to next-generation monitoring models, and the reality of hybrid cloud environments” explains Nathan Owen, CEO and co-founder of Blue Medora. “Our customers have increasingly fast-changing heterogeneous environments, and often find that their multiple monitoring platforms cannot keep pace or lack the dimensionality needed to analyze root cause. BindPlane removes that complexity, offering a single, reliable connection point for any monitored endpoint and many platforms.” Key Features: - Dimensional Data: A combination of enterprise-grade metrics that go up to 87% deeper than community or open sourced plugins and BindPlane’s data enhancements that include the inter- and intra-relationships between different layers of the IT stack. - Native Platform Integration: Critical “last mile” integration that ensures intelligent alerts, built in dashboards and more function like they are supposed to in any supported platform. - BindPlane Manager: A centralized controller that automates endpoint discovery and data collection.

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 ...

Blue Medora Launches BindPlane

Blue Medora announces a new service, BindPlane – a monitoring integration service that connects the health and performance data on enterprise technologies with the IT performance monitoring and analytics platforms. The new integration service is a departure from the traditional platform-to-plugin approach and instead provides a single monitoring integration service that connects any analytics platform to the health and performance data on the top enterprise technologies instantly. BindPlane addresses the fundamental limitations of platform-specific plugins that are standard across IT monitoring and operations analytics today. It’s easy to adopt, adapt and afford, connecting the most common enterprise technologies with the most popular APM, ITIM, ITOA and CMP platforms. The early adoption release, available today, expands the aperture of New Relic, VMware Wavefront, SignalFx and others. Unlike community or open-source plugins, which typically rely on flat metrics, BindPlane delivers Dimensional Data, which enhances health and performance metrics with critical metadata about the inter- and intra-relationships between all the metrics in the IT stack, representing a new way to approach source system integration for all monitoring solutions–one that includes context. “BindPlane is a major shift in integration strategy, reflecting the move to next-generation monitoring models, and the reality of hybrid cloud environments” explains Nathan Owen, CEO and co-founder of Blue Medora. “Our customers have increasingly fast-changing heterogeneous environments, and often find that their multiple monitoring platforms cannot keep pace or lack the dimensionality needed to analyze root cause. BindPlane removes that complexity, offering a single, reliable connection point for any monitored endpoint and many platforms.” Key Features: - Dimensional Data: A combination of enterprise-grade metrics that go up to 87% deeper than community or open sourced plugins and BindPlane’s data enhancements that include the inter- and intra-relationships between different layers of the IT stack. - Native Platform Integration: Critical “last mile” integration that ensures intelligent alerts, built in dashboards and more function like they are supposed to in any supported platform. - BindPlane Manager: A centralized controller that automates endpoint discovery and data collection.

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 ...