LogicMonitor achieved Cisco Compatible status for its Cisco SD-WAN integration.
This certification validates that LogicMonitor’s innovative cloud-based platform has been fully vetted by Cisco and establishes LogicMonitor as a Cisco preferred monitoring partner for organizations deploying and managing sophisticated networks.
As a result of its SD-WAN compatibility certification, LogicMonitor has achieved a status upgrade within the Cisco Solution Partner Program to that of Cisco Preferred Solution Partner. This program reflects Cisco’s commitment to helping customers and partners maximize the value of their investment in Cisco environments. Preferred Solution Partner status provides access to early product launches and enables LogicMonitor to provide customers with unmatched coverage across the Cisco product portfolio.
“We work with numerous enterprises and managed service providers with massive, global deployments of Viptela and Meraki that rely on LogicMonitor to not only visualize their networks but also maintain high-availability and improve SLAs,” said Michael Tarbet, Vice President of Sales, LogicMonitor. “As Cisco continues to expand its high-reliability, high-quality network services, LogicMonitor is now even more well-positioned to help Cisco customers optimize, centralize and modernize the critical IT capabilities that drive positive results for their business.”
LogicMonitor provides real-time intelligence for SD-WAN environments with out-of-the-box monitoring that is automatically applied as soon as a new device is detected. This auto-discovery of devices, coupled with the platform’s cloud-based architecture, creates rapid time-to-value and allows network administrators to decrease average customer onboarding timeframes.
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 ...