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SL Launches RTView Enterprise Version 5.3

SL announced the availability of RTView Enterprise version 5.3 with continuous improvements in user experience.

The release adds support for application and middleware support teams to proactively monitor their critical environments.

RTView is a non-intrusive, low ownership cost, and predominantly agentless application monitoring system that provides unique visibility into microservices, messaging middleware, process orchestration, and container infrastructure.

"With significant user experience improvements around alerting, security configuration, and display customization, our customers will find it even easier to eliminate outages and downtime in their critical middleware environments, said Ted Wilson, SL's Chief Operating Officer. RTView Enterprise version 5.3 is a big step forward."

With support for user-defined custom alerts against any monitored metrics, users can now experience enhanced proactive alerting, maximizing application continuity. The Alert Overrides Admin display now supports multiple selections to create, edit, or remove overrides for multiple alerts. A pattern/regex filter is now available to search patterns on all index columns at once.

The new Custom Display Designer enables users to improve application and business service performance by creating and publishing custom, personalized views without programming. Additionally, a Grafana plug-in, with integration to RTView DataServers, provides Grafana developers with additional customization options for creating custom displays with RTView metrics.

The new Application Data Flow Diagram feature allows users to visualize complex application data flows more intuitively across different layers, upstream and downstream, and their performance. App owners and support teams can zoom in to navigate complex flows to identify issues in a highly visual way and take remedial action.

Users will notice enhanced support for LDAP with a simple three-step configuration. DataServer support for secure socket connections are enabled via a simple UI.

Other enhancements include:

■ Solace PubSub+ Monitoring

- Personalized views of key metrics can be quickly created and deployed with the new Custom Display Designer.
- Defined custom alerts that can be created on any metric in PubSub+ Monitor allow users to stay on top of what matters most.
- Simplified setup, configuration and evolution of alert overrides at a more granular level.
- SEMP Schemas are now automatically uploaded from brokers.
- Improved topology views for bridges and neighbors provide better visibility of the Solace estate and visible alerts.
- LDAP and security configuration via a graphical interface.

■ Kafka Monitoring

- Auto discovery of Kafka Brokers in a Cluster.
- New Kafka Topic displays with aggregated time-based message counts across hour, day and week periods.

■ IBM MQ Monitoring

- Queue Manager Level Alerts on IBM MQ. All IBM MQ Queue alerts have now a new index containing the name of its Queue Manager, which can be used to define alert overrides by this column. Queue Manager names no longer contain spaces.

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SL Launches RTView Enterprise Version 5.3

SL announced the availability of RTView Enterprise version 5.3 with continuous improvements in user experience.

The release adds support for application and middleware support teams to proactively monitor their critical environments.

RTView is a non-intrusive, low ownership cost, and predominantly agentless application monitoring system that provides unique visibility into microservices, messaging middleware, process orchestration, and container infrastructure.

"With significant user experience improvements around alerting, security configuration, and display customization, our customers will find it even easier to eliminate outages and downtime in their critical middleware environments, said Ted Wilson, SL's Chief Operating Officer. RTView Enterprise version 5.3 is a big step forward."

With support for user-defined custom alerts against any monitored metrics, users can now experience enhanced proactive alerting, maximizing application continuity. The Alert Overrides Admin display now supports multiple selections to create, edit, or remove overrides for multiple alerts. A pattern/regex filter is now available to search patterns on all index columns at once.

The new Custom Display Designer enables users to improve application and business service performance by creating and publishing custom, personalized views without programming. Additionally, a Grafana plug-in, with integration to RTView DataServers, provides Grafana developers with additional customization options for creating custom displays with RTView metrics.

The new Application Data Flow Diagram feature allows users to visualize complex application data flows more intuitively across different layers, upstream and downstream, and their performance. App owners and support teams can zoom in to navigate complex flows to identify issues in a highly visual way and take remedial action.

Users will notice enhanced support for LDAP with a simple three-step configuration. DataServer support for secure socket connections are enabled via a simple UI.

Other enhancements include:

■ Solace PubSub+ Monitoring

- Personalized views of key metrics can be quickly created and deployed with the new Custom Display Designer.
- Defined custom alerts that can be created on any metric in PubSub+ Monitor allow users to stay on top of what matters most.
- Simplified setup, configuration and evolution of alert overrides at a more granular level.
- SEMP Schemas are now automatically uploaded from brokers.
- Improved topology views for bridges and neighbors provide better visibility of the Solace estate and visible alerts.
- LDAP and security configuration via a graphical interface.

■ Kafka Monitoring

- Auto discovery of Kafka Brokers in a Cluster.
- New Kafka Topic displays with aggregated time-based message counts across hour, day and week periods.

■ IBM MQ Monitoring

- Queue Manager Level Alerts on IBM MQ. All IBM MQ Queue alerts have now a new index containing the name of its Queue Manager, which can be used to define alert overrides by this column. Queue Manager names no longer contain spaces.

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...