
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
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 ...
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 ...
