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Centreon EMS 19.04 Released

Centreon rolled out a new release of Centreon EMS, its flagship, end-to-end IT monitoring platform.

The new release provides ITOps with holistic and contextual insights, through the integrations needed for today’s distributed, on-premise and multi-cloud - public, private and container - environments.

Centreon’s EMS 19.04 release offers ITOps managing a host of legacy assets but now contending with increased cloud workloads and growing networks of connected objects, the integrated visibility needed to ensure end-to-end performance across diverse IT environments. This expanded functionality reduces costs and complexity, aggregating data from across the entire IT infrastructure into a single, holistic view of the various IT interdependencies impacting critical business performance.

“Digital strategies leveraging cloud environments are accelerating. In fact, nine out of ten companies have transitioned part of their IT workloads to the cloud. There are cloud monitoring tools, but the ability to just see what’s going on inside is not enough,” said Marc-Antoine Hostier, CSO of Centreon.

“This information must be connected and consolidated with what’s going on across the enterprise – its datacenters, virtual machines, containers and IoT networks. Without this business-aware hybrid visibility, prompt response to application outages, compliance issues, failing systems or security threats is difficult. Worse, the performance of IT business services will be negatively impacted, as time and money are spent repairing instead of optimizing and innovating.”

The latest release of Centreon EMS also enables IT infrastructure information to be layered into spatial data that’s mapped using geographical information systems (GIS). Monitored IT infrastructure data can now be seen in the context of connected physical objects such as toll equipment, video surveillance, energy wind turbines, manufacturing belts or logistics hubs to provide more meaningful insights. These real-time dynamic maps help reduce root cause analysis and resolution times enabling greater remote management efficiencies and business performance at the edge.

“As IoT proliferates and companies grow their ROBO (remote office branch office) footprint, geographical mapping and visualization are even more strategic to IT operations, particularly in retail, media and telecommunications, public services, utilities, supply chain or banking and insurance,” Hostier said. “Centreon EMS’ built-in GeoView capability ensures that our solution evolves with their needs to help manage and make sense of the interdependencies between IT and our connected world.”

Key benefits delivered by Centreon EMS 19.04

- Monitoring for infrastructure diversity: integration-ready multi-cloud plugin packs that accommodate IaaS monitoring e.g. Amazon Cloudwatch, Azure Monitor, private cloud and virtualization e.g. vCenter, Hyper-V, System Center VMM, and containers e.g. Prometheus, Kubernetes, Docker, to indirectly probe, draw data and seamlessly connect with the centralized availability and performance management system;

- Context-rich GeoViews of IT hosts that can be added using standard protocols to query Mapbox OpenStreetMap or any GIS;

- Enriched host auto-discovery rules in detecting cloud computing instances and those for on-premise or legacy systems to enable more agility and facilitate ITOps and DevOps alignment.

Centreon EMS is a modular, all-in-one enterprise IT monitoring solution for hybrid, multi-cloud and physical networks. The solution paves the way for organizations to innovate, future proof their IT investments and adopt new technologies for optimal business uptime, by cutting cost and complexity from ITOps.

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Centreon EMS 19.04 Released

Centreon rolled out a new release of Centreon EMS, its flagship, end-to-end IT monitoring platform.

The new release provides ITOps with holistic and contextual insights, through the integrations needed for today’s distributed, on-premise and multi-cloud - public, private and container - environments.

Centreon’s EMS 19.04 release offers ITOps managing a host of legacy assets but now contending with increased cloud workloads and growing networks of connected objects, the integrated visibility needed to ensure end-to-end performance across diverse IT environments. This expanded functionality reduces costs and complexity, aggregating data from across the entire IT infrastructure into a single, holistic view of the various IT interdependencies impacting critical business performance.

“Digital strategies leveraging cloud environments are accelerating. In fact, nine out of ten companies have transitioned part of their IT workloads to the cloud. There are cloud monitoring tools, but the ability to just see what’s going on inside is not enough,” said Marc-Antoine Hostier, CSO of Centreon.

“This information must be connected and consolidated with what’s going on across the enterprise – its datacenters, virtual machines, containers and IoT networks. Without this business-aware hybrid visibility, prompt response to application outages, compliance issues, failing systems or security threats is difficult. Worse, the performance of IT business services will be negatively impacted, as time and money are spent repairing instead of optimizing and innovating.”

The latest release of Centreon EMS also enables IT infrastructure information to be layered into spatial data that’s mapped using geographical information systems (GIS). Monitored IT infrastructure data can now be seen in the context of connected physical objects such as toll equipment, video surveillance, energy wind turbines, manufacturing belts or logistics hubs to provide more meaningful insights. These real-time dynamic maps help reduce root cause analysis and resolution times enabling greater remote management efficiencies and business performance at the edge.

“As IoT proliferates and companies grow their ROBO (remote office branch office) footprint, geographical mapping and visualization are even more strategic to IT operations, particularly in retail, media and telecommunications, public services, utilities, supply chain or banking and insurance,” Hostier said. “Centreon EMS’ built-in GeoView capability ensures that our solution evolves with their needs to help manage and make sense of the interdependencies between IT and our connected world.”

Key benefits delivered by Centreon EMS 19.04

- Monitoring for infrastructure diversity: integration-ready multi-cloud plugin packs that accommodate IaaS monitoring e.g. Amazon Cloudwatch, Azure Monitor, private cloud and virtualization e.g. vCenter, Hyper-V, System Center VMM, and containers e.g. Prometheus, Kubernetes, Docker, to indirectly probe, draw data and seamlessly connect with the centralized availability and performance management system;

- Context-rich GeoViews of IT hosts that can be added using standard protocols to query Mapbox OpenStreetMap or any GIS;

- Enriched host auto-discovery rules in detecting cloud computing instances and those for on-premise or legacy systems to enable more agility and facilitate ITOps and DevOps alignment.

Centreon EMS is a modular, all-in-one enterprise IT monitoring solution for hybrid, multi-cloud and physical networks. The solution paves the way for organizations to innovate, future proof their IT investments and adopt new technologies for optimal business uptime, by cutting cost and complexity from ITOps.

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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 ...

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 ...