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OpenNMS Meridian 2023 Released

The OpenNMS Group, a subsidiary of NantHealth, announced the release of OpenNMS Meridian 2023.

With this major release, the fully open source Meridian product, which is the optimized and supported version of the OpenNMS platform curated by The OpenNMS Group, Inc. (OpenNMS) for production environments, now features cloud services, containerization benefits, and other advancements.

"The cloud capabilities we're launching with Meridian 2023 bring us a huge step closer to our vision of a world where monitoring just happens," said David Hustace, President, Founderat OpenNMS. "Monitoring at the edge has been simplified—our hardware appliance solution can be installed and configured from our cloud portal in minutes. And customers can deploy and orchestrate Meridian as a container, then store their monitoring data in our new cloud-based Time Series DB, a massively scalable, multi-tenant storage solution."

Major new functionality in this Meridian update includes:

- Time series database service. Time Series DB is a hosted cloud service that quickly scales with workloads as your needs change. No need to fight with complex storage requirements and maintain complicated infrastructure.

- Containerized Meridian. Deploy consistently and predictably with containerized Meridian. Get the power and flexibility you require with minimal complexity.

- Flows thresholding. Analyze your flow data against threshold computations to detect and alert you to anomalies and changes in your network environment.

- Device configuration backup. Manage network device configuration backups natively within Meridian. Filter, search, and compare configurations at different points in time for specific devices.

- Custom plugin development API. Extend the functionality of Meridian through our new official plugin API. Build plugins that utilize outputs, expand on configurations, and add new integrations to connect with your existing tools.

- New hardware appliance. Minions, the distributed monitoring component for Meridian, are now able to run on dedicated, physical hardware—the OpenNMS Appliance. With the OpenNMS Appliance, you simplify your Minion deployment and save time by being able to manage, configure, and update an entire fleet of Minions with a single action. OpenNMS Appliance is built with security in mind and employs zero-trust architecture principles for communications and software integrity.

"We require the Appliance to use security features such as Trusted Platform Module (TPM), secure boot, and disk encryption to help prevent tampering and backdoors as part of our greater zero-trust initiative," says Jeff Jancula, CISO of OpenNMS.

Meridian is available through a subscription-based service that maximizes the platform with the most stable and secure features from OpenNMS Horizon, the community-driven distribution. The Meridian platform features inventory monitoring as well as performance, fault, and traffic management. Beyond that, Meridian offers business service monitoring, distributed data collection, support for BGP Monitoring Protocol (BMP), and application perspective monitoring. Known for its reliability and adaptability at scale, Meridian users can customize the monitoring platform to fit their unique needs.

OpenNMS has adopted penetration testing as a key component of our development and release processes for both the current products and forthcoming cloud services. In addition, OpenNMS is improving its processes to align with the ISO 27001 security framework. This will help to ensure that the appropriate people, processes, and technologies are in place to assess cybersecurity risks and implement the measures necessary to protect, remediate, or recover from those risk events. OpenNMS is also part of the Common Vulnerabilities and Exposures (CVE) system’s Numbering Authorities (CNA) program to augment its CVE reporting capabilities.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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 ...

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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 ...

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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.

OpenNMS Meridian 2023 Released

The OpenNMS Group, a subsidiary of NantHealth, announced the release of OpenNMS Meridian 2023.

With this major release, the fully open source Meridian product, which is the optimized and supported version of the OpenNMS platform curated by The OpenNMS Group, Inc. (OpenNMS) for production environments, now features cloud services, containerization benefits, and other advancements.

"The cloud capabilities we're launching with Meridian 2023 bring us a huge step closer to our vision of a world where monitoring just happens," said David Hustace, President, Founderat OpenNMS. "Monitoring at the edge has been simplified—our hardware appliance solution can be installed and configured from our cloud portal in minutes. And customers can deploy and orchestrate Meridian as a container, then store their monitoring data in our new cloud-based Time Series DB, a massively scalable, multi-tenant storage solution."

Major new functionality in this Meridian update includes:

- Time series database service. Time Series DB is a hosted cloud service that quickly scales with workloads as your needs change. No need to fight with complex storage requirements and maintain complicated infrastructure.

- Containerized Meridian. Deploy consistently and predictably with containerized Meridian. Get the power and flexibility you require with minimal complexity.

- Flows thresholding. Analyze your flow data against threshold computations to detect and alert you to anomalies and changes in your network environment.

- Device configuration backup. Manage network device configuration backups natively within Meridian. Filter, search, and compare configurations at different points in time for specific devices.

- Custom plugin development API. Extend the functionality of Meridian through our new official plugin API. Build plugins that utilize outputs, expand on configurations, and add new integrations to connect with your existing tools.

- New hardware appliance. Minions, the distributed monitoring component for Meridian, are now able to run on dedicated, physical hardware—the OpenNMS Appliance. With the OpenNMS Appliance, you simplify your Minion deployment and save time by being able to manage, configure, and update an entire fleet of Minions with a single action. OpenNMS Appliance is built with security in mind and employs zero-trust architecture principles for communications and software integrity.

"We require the Appliance to use security features such as Trusted Platform Module (TPM), secure boot, and disk encryption to help prevent tampering and backdoors as part of our greater zero-trust initiative," says Jeff Jancula, CISO of OpenNMS.

Meridian is available through a subscription-based service that maximizes the platform with the most stable and secure features from OpenNMS Horizon, the community-driven distribution. The Meridian platform features inventory monitoring as well as performance, fault, and traffic management. Beyond that, Meridian offers business service monitoring, distributed data collection, support for BGP Monitoring Protocol (BMP), and application perspective monitoring. Known for its reliability and adaptability at scale, Meridian users can customize the monitoring platform to fit their unique needs.

OpenNMS has adopted penetration testing as a key component of our development and release processes for both the current products and forthcoming cloud services. In addition, OpenNMS is improving its processes to align with the ISO 27001 security framework. This will help to ensure that the appropriate people, processes, and technologies are in place to assess cybersecurity risks and implement the measures necessary to protect, remediate, or recover from those risk events. OpenNMS is also part of the Common Vulnerabilities and Exposures (CVE) system’s Numbering Authorities (CNA) program to augment its CVE reporting capabilities.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.