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SL Introduces APACHE Kafka Monitoring with RTView 3.8

SL RTView 3.8 is making a splash with the launch of new Apache Kafka and TIBCO Adapter monitoring solution packages.

In addition to new monitoring targets, Kafka and TIBCO Adapters, the RTView 3.8 release expands functionality and support for TIBCO BusinessWorks, TIBCO ActiveSpaces, and TIBCO EMS.

“Demand for Kafka monitoring within our customer base has exceeded expectations and we are excited to help our middleware-centric customers take advantage of new architectures,” says Ted Wilson, COO at SL. “As RTView customers transition their technology footprints to include new technologies such as Kafka, it’s critical they stay focused on the performance of their middleware infrastructure.”

Apache Kafka Monitoring

RTView’s Solution Package for Apache Kafka provides a complete Kafka monitoring solution with pre-built dashboards for monitoring Kafka brokers, producers, consumers, topics and Kafka Zookeepers. With over 30 pre-defined alerts and over 15 pre-built monitoring dashboards, users can deploy quickly without the time, skill and expense necessary to build their own dashboards from scratch using open-source tools.

TIBCO Adapter Monitoring

TIBCO Adapters are the critical link between TIBCO processes and the target system, so it is important to ensure that this link is running quickly and smoothly. The RTView Solution Package for TIBCO Adapters gives you visibility into the performance of this critical layer.

TIBCO BusinessWorks Monitoring

RTView’s Solution Package for TIBCO BusinessWorks monitors TIBCO BusinessWorks in real-time – sending you alerts even before critical thresholds are crossed – so that you can find growing problems BEFORE they become severity level events. RTView 3.8 builds upon ten years of experience monitoring TIBCO BusinessWorks by adding new alerts for BW and BW6.

TIBCO ActiveSpaces Monitoring

The RTView Solution Package for TIBCO ActiveSpaces provides the visibility necessary to monitor such highly distributed environments as found in TIBCO ActiveSpaces deployments.

RTView 3.8 expands functionality to visualize the load on space member processes, such as CPU and memory, to better understand available capacity.

TIBCO EMS Monitoring

TIBCO Enterprise Message Service (EMS) serves as the backbone for some of the largest mission-critical systems in production today, largely due to its performance, scalability and reliability advantages over other messaging solutions. The RTView Solution Package for TIBCO EMS proactively monitors the software itself, as well as its supporting infrastructure to ensure optimal load-balancing, routing, fault-tolerance, and message flow/throughput.

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APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

SL Introduces APACHE Kafka Monitoring with RTView 3.8

SL RTView 3.8 is making a splash with the launch of new Apache Kafka and TIBCO Adapter monitoring solution packages.

In addition to new monitoring targets, Kafka and TIBCO Adapters, the RTView 3.8 release expands functionality and support for TIBCO BusinessWorks, TIBCO ActiveSpaces, and TIBCO EMS.

“Demand for Kafka monitoring within our customer base has exceeded expectations and we are excited to help our middleware-centric customers take advantage of new architectures,” says Ted Wilson, COO at SL. “As RTView customers transition their technology footprints to include new technologies such as Kafka, it’s critical they stay focused on the performance of their middleware infrastructure.”

Apache Kafka Monitoring

RTView’s Solution Package for Apache Kafka provides a complete Kafka monitoring solution with pre-built dashboards for monitoring Kafka brokers, producers, consumers, topics and Kafka Zookeepers. With over 30 pre-defined alerts and over 15 pre-built monitoring dashboards, users can deploy quickly without the time, skill and expense necessary to build their own dashboards from scratch using open-source tools.

TIBCO Adapter Monitoring

TIBCO Adapters are the critical link between TIBCO processes and the target system, so it is important to ensure that this link is running quickly and smoothly. The RTView Solution Package for TIBCO Adapters gives you visibility into the performance of this critical layer.

TIBCO BusinessWorks Monitoring

RTView’s Solution Package for TIBCO BusinessWorks monitors TIBCO BusinessWorks in real-time – sending you alerts even before critical thresholds are crossed – so that you can find growing problems BEFORE they become severity level events. RTView 3.8 builds upon ten years of experience monitoring TIBCO BusinessWorks by adding new alerts for BW and BW6.

TIBCO ActiveSpaces Monitoring

The RTView Solution Package for TIBCO ActiveSpaces provides the visibility necessary to monitor such highly distributed environments as found in TIBCO ActiveSpaces deployments.

RTView 3.8 expands functionality to visualize the load on space member processes, such as CPU and memory, to better understand available capacity.

TIBCO EMS Monitoring

TIBCO Enterprise Message Service (EMS) serves as the backbone for some of the largest mission-critical systems in production today, largely due to its performance, scalability and reliability advantages over other messaging solutions. The RTView Solution Package for TIBCO EMS proactively monitors the software itself, as well as its supporting infrastructure to ensure optimal load-balancing, routing, fault-tolerance, and message flow/throughput.

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Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...