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SL Releases New Monitoring for Solace Virtual Message Router

SL announces enhanced support for RTView Solace Monitor by releasing new functionality to monitor Solace Virtual Message Router (VMR) software.

Now, Solace users can monitor all of their message routers, from appliances in the datacenter to VMRs in the cloud, using one convenient monitoring platform.

“As Solace enables customers to expand their infrastructure into the cloud, we want to be sure RTView is ready to meet the needs of messaging across hybrid computing environments,” says Ted Wilson, COO at SL. “With Middleware Monitoring as our specialty, we help support teams maintain visibility into their messaging infrastructure no matter where their messaging technologies are deployed.”

These new Solace monitoring enhancements are available as both a standalone solution, RTView Solace Monitor, as well as a pluggable Solution Package for RTView Enterprise Monitor.

The Solace Monitor provides several pre-built monitoring displays and pre-configured alert thresholds designed to get you up and running quickly with no agents and no programming required. Now users can get real-time visibility into all aspects of their message routers including VPNs, bridges, clients, endpoints, capacity analysis, Syslog and alerts. And RTView’s distributed architecture intelligently handles global deployments without flooding network bandwidth.

“Migrating applications to the cloud changes the IT landscape, and it’s important to give administrators a clear picture of everything that’s happening across hybrid cloud environments,” said Denis King, SVP of Global Field Operations and Strategic Alliances, Solace. “SL is a valuable partner because they understand the mission-critical nature of middleware as IT shifts to the cloud, and their proven technology gives administrators the rich, real-time monitoring capabilities they need.

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SL Releases New Monitoring for Solace Virtual Message Router

SL announces enhanced support for RTView Solace Monitor by releasing new functionality to monitor Solace Virtual Message Router (VMR) software.

Now, Solace users can monitor all of their message routers, from appliances in the datacenter to VMRs in the cloud, using one convenient monitoring platform.

“As Solace enables customers to expand their infrastructure into the cloud, we want to be sure RTView is ready to meet the needs of messaging across hybrid computing environments,” says Ted Wilson, COO at SL. “With Middleware Monitoring as our specialty, we help support teams maintain visibility into their messaging infrastructure no matter where their messaging technologies are deployed.”

These new Solace monitoring enhancements are available as both a standalone solution, RTView Solace Monitor, as well as a pluggable Solution Package for RTView Enterprise Monitor.

The Solace Monitor provides several pre-built monitoring displays and pre-configured alert thresholds designed to get you up and running quickly with no agents and no programming required. Now users can get real-time visibility into all aspects of their message routers including VPNs, bridges, clients, endpoints, capacity analysis, Syslog and alerts. And RTView’s distributed architecture intelligently handles global deployments without flooding network bandwidth.

“Migrating applications to the cloud changes the IT landscape, and it’s important to give administrators a clear picture of everything that’s happening across hybrid cloud environments,” said Denis King, SVP of Global Field Operations and Strategic Alliances, Solace. “SL is a valuable partner because they understand the mission-critical nature of middleware as IT shifts to the cloud, and their proven technology gives administrators the rich, real-time monitoring capabilities they need.

The Latest

For fifteen years, observability lived downstream of everything else. Code shipped, something broke, an engineer went to the dashboards. The job was forensic. The pillars we built, such as logs, metrics, and traces, were designed for that role: tell a human what just happened, fast enough that they can make it stop. That role has quietly ended ...

Hybrid IT has become the standard operating model for enterprises — but that companies are still looking for the right hybrid IT mix, according to the 2026 State of the Data Center Report from CoreSite. After years of cloud migration and hybrid adoption, organizations are shifting their focus from deciding whether to use cloud, colocation or on-premises infrastructure to determining which workloads belong in each environment ...

Pilots are everywhere, stakeholders are seeking results, businesses are pushing for new tools, and IT teams are being asked to make AI secure, reliable, and useful at scale. But as organizations move from testing AI to operationalizing it, many are discovering that the biggest barrier is not the model, the use case, or even the budget. It is the file data foundation within ...

Fast or cheap? For most of my career in engineering, speed and quality sat on opposite ends of a seesaw. The "OR" in "fast or cheap" was non-negotiable. It was expected that pushing for faster releases meant that something in quality would give way. Tightening quality controls meant the schedule slipped. Every engineering leader I know has lived some version of that tradeoff ... The seesaw is starting to level out ...

I have been building enterprise software for more than 20 years ... One thing stays true across all of it: You do not find out your foundation is wrong during the crisis. You find out when the debt comes due. For a lot of organizations, that bill is arriving now. New research ... puts hard numbers on something practitioners have been sensing for a while. The telemetry problem isn't coming. It's already here ...

The rapid growth of AI workloads is pushing traditional log management approaches to their limits, according to The State of Log Management 2026 report from Dynatrace. Modern logs have become critical to understanding, validating, and securing AI-driven decisions, helping organizations ensure reliability, compliance, and performance at scale. However, the volume and complexity of AI telemetry are overwhelming legacy tools ...

For years, secure connectivity has relied on a familiar pattern: route traffic back to centralized gateways, inspect it, and then allow access. This model worked when applications lived in a handful of data centers and users were largely confined to offices. That model is now under strain. Applications are distributed across clouds, users connect from everywhere, and real-time workloads demand performance that centralized inspection points struggle to deliver. As traffic volumes grow and latency expectations shrink, routing everything through a small number of control points has become both a performance bottleneck and a resilience risk. The future of secure connectivity requires a different approach ...

The AI experimentation phase is over, and the private cloud is where enterprise AI workloads are being deployed for security and scale, according to Private Cloud Outlook 2026, a new report from Broadcom ... 2026 marks an acceleration into a full AI tipping point. The shift is being shaped by three forces — costs, complexity, and control — that public cloud environments are increasingly failing to address for production AI at scale. Key findings from the report include ...

44% of organizations have reported an outage in the past year tied to suppressed or ignored alerts, and 78% had at least one incident where no alert was fired at all ... Engineers learned about failures from customers. That gap between what our tools report and what our customers experience is the problem DevOps teams have been quietly solving with GenAI tooling, even as most enterprises continue to run their NOCs on manual alert triage ...

Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...