Skip to main content

ManageEngine OpManager Nexus Introduces Real-Time Network Observability with OpenConfig and gNMI

Newly Introduced Capabilities Bring High-Fidelity Streaming Telemetry, Vendor-Neutral Visibility, and Unified Network Intelligence Onto a Single Platform

ManageEngine, a division of Zoho Corporation, announced the addition of native support for gNMI and OpenConfig streaming telemetry to its observability platform, OpManager Nexus

The capability enables enterprises to collect real-time, push-based network data directly from infrastructure without additional agents or external collectors. This gives network and operations teams the real-time visibility they need to act before services are affected.

In large enterprise environments, the SNMP-dependent visibility model is inherently constrained because the trade-off between the collection frequency and infrastructure overhead limits both the depth and reliability of insights. Streaming telemetry with gNMI and OpenConfig shifts this model to continuous, accurate visibility, making it the new industry objective. OpManager Nexus aligns with this shift, delivering real-time, end-to-end network intelligence at scale.

"gNMI and OpenConfig are increasingly becoming the preferred way to expose that data because they provide deeper visibility while placing less strain on network devices. With native integration in OpManager Nexus, customers can operationalize streaming telemetry within the platform they already trust, without adding new operational complexity," said Gowrisankar Chinnayan, head of product management at ManageEngine.

Built for Scalability, Resilience, and Vendor-Neutrality

Most enterprise network monitoring systems still depend on SNMP polling at multi-minute intervals, leaving network teams blind to transient congestion, BGP flaps, and other short-lived events that directly affect application performance. To work around these gaps, teams have been forced to stitch together data from multiple open-source collectors, time series databases, and dashboards just to approximate basic telemetry workflows. This results in issues like slower root cause analysis and low-resolution data that no longer reflects how modern networks actually behave.

OpManager Nexus’ new telemetry capability is built natively on gNMI streaming with OpenConfig support, enabling scalable, vendor-agnostic network monitoring. A single vendor-neutral integration layer normalizes telemetry across all supported devices, with every metric seamlessly connected to the existing topology, alerting, and reporting workflows without the need for additional tools.

Closing the Gaps of Traditional Monitoring

Beyond visibility, the architecture is designed to advance a more sustainable model for network observability. By replacing poll-heavy collection with event-driven streaming, it significantly reduces redundant data cycles, lowers compute and storage overhead, and minimizes the network load. This shift not only improves efficiency at scale but also aligns monitoring operations with broader energy optimization and sustainability objectives. The implementation also supports TLS-encrypted transport across both dial-in and dial-out modes, ensuring secure, high-fidelity telemetry.

"We started looking at streaming telemetry after [we had] a series of intermittent network slowdowns that never showed up in our polling data. By the time alerts came in, the actual spike was already gone. What stood out with OpManager Nexus was that we could finally see those short-lived events in real time without pushing our monitoring infrastructure harder or bringing in another telemetry tool," said Vikas Yadav, senior IT administrator at WAISL Limited.

Key Capabilities and Highlights

  • Secure gNMI dial-in and dial-out telemetry: Native gNMI dial-in and dial-out modes with TLS encryption for secure telemetry transport across both centralized and distributed deployments
  • Consistent multi-vendor data with OpenConfig YANG: Full OpenConfig YANG model support across major vendors, enabling consistent data structures and path definitions in multi-vendor environments
  • Sub-second telemetry for real-time visibility: Sub-second telemetry that provides near-instant visibility into key metrics, capturing events that polling misses, reducing the detection time, and avoiding added monitoring overhead
  • Unified SNMP, NetFlow, and gNMI collection: Unified collection of SNMP, NetFlow, and gNMI telemetry on a single platform, removing the need for parallel monitoring stacks
  • Native OpManager Nexus integration: Direct integration with the existing OpManager Nexus topology, alerts, and reporting with no separate dashboards or new tools to learn

The Latest

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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

ManageEngine OpManager Nexus Introduces Real-Time Network Observability with OpenConfig and gNMI

Newly Introduced Capabilities Bring High-Fidelity Streaming Telemetry, Vendor-Neutral Visibility, and Unified Network Intelligence Onto a Single Platform

ManageEngine, a division of Zoho Corporation, announced the addition of native support for gNMI and OpenConfig streaming telemetry to its observability platform, OpManager Nexus

The capability enables enterprises to collect real-time, push-based network data directly from infrastructure without additional agents or external collectors. This gives network and operations teams the real-time visibility they need to act before services are affected.

In large enterprise environments, the SNMP-dependent visibility model is inherently constrained because the trade-off between the collection frequency and infrastructure overhead limits both the depth and reliability of insights. Streaming telemetry with gNMI and OpenConfig shifts this model to continuous, accurate visibility, making it the new industry objective. OpManager Nexus aligns with this shift, delivering real-time, end-to-end network intelligence at scale.

"gNMI and OpenConfig are increasingly becoming the preferred way to expose that data because they provide deeper visibility while placing less strain on network devices. With native integration in OpManager Nexus, customers can operationalize streaming telemetry within the platform they already trust, without adding new operational complexity," said Gowrisankar Chinnayan, head of product management at ManageEngine.

Built for Scalability, Resilience, and Vendor-Neutrality

Most enterprise network monitoring systems still depend on SNMP polling at multi-minute intervals, leaving network teams blind to transient congestion, BGP flaps, and other short-lived events that directly affect application performance. To work around these gaps, teams have been forced to stitch together data from multiple open-source collectors, time series databases, and dashboards just to approximate basic telemetry workflows. This results in issues like slower root cause analysis and low-resolution data that no longer reflects how modern networks actually behave.

OpManager Nexus’ new telemetry capability is built natively on gNMI streaming with OpenConfig support, enabling scalable, vendor-agnostic network monitoring. A single vendor-neutral integration layer normalizes telemetry across all supported devices, with every metric seamlessly connected to the existing topology, alerting, and reporting workflows without the need for additional tools.

Closing the Gaps of Traditional Monitoring

Beyond visibility, the architecture is designed to advance a more sustainable model for network observability. By replacing poll-heavy collection with event-driven streaming, it significantly reduces redundant data cycles, lowers compute and storage overhead, and minimizes the network load. This shift not only improves efficiency at scale but also aligns monitoring operations with broader energy optimization and sustainability objectives. The implementation also supports TLS-encrypted transport across both dial-in and dial-out modes, ensuring secure, high-fidelity telemetry.

"We started looking at streaming telemetry after [we had] a series of intermittent network slowdowns that never showed up in our polling data. By the time alerts came in, the actual spike was already gone. What stood out with OpManager Nexus was that we could finally see those short-lived events in real time without pushing our monitoring infrastructure harder or bringing in another telemetry tool," said Vikas Yadav, senior IT administrator at WAISL Limited.

Key Capabilities and Highlights

  • Secure gNMI dial-in and dial-out telemetry: Native gNMI dial-in and dial-out modes with TLS encryption for secure telemetry transport across both centralized and distributed deployments
  • Consistent multi-vendor data with OpenConfig YANG: Full OpenConfig YANG model support across major vendors, enabling consistent data structures and path definitions in multi-vendor environments
  • Sub-second telemetry for real-time visibility: Sub-second telemetry that provides near-instant visibility into key metrics, capturing events that polling misses, reducing the detection time, and avoiding added monitoring overhead
  • Unified SNMP, NetFlow, and gNMI collection: Unified collection of SNMP, NetFlow, and gNMI telemetry on a single platform, removing the need for parallel monitoring stacks
  • Native OpManager Nexus integration: Direct integration with the existing OpManager Nexus topology, alerts, and reporting with no separate dashboards or new tools to learn

The Latest

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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...