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SL Expands Support for Monitoring IBM MQ in RTView Enterprise Edition 5.2

SL announced expanded support for monitoring of IBM MQ with an upcoming version of its RTView Enterprise Edition Application Monitoring Platform.

The new version offers enhanced usability, security, and additional support for IBM MQ topics and subscriptions. These enhancements make the RTView Application Monitoring solution even more valuable for tracking the performance and availability of applications that include IBM MQ as one of its messaging middleware components. Users are able to understand the impact of MQ issues on critical business applications and drill down to understand MQ-specific issues.

IBM MQ is one of the dominant messaging systems in use today. It supports the exchange of information between applications, systems, services and files by sending and receiving message data via messaging queues. Many mission-critical applications in Finance and eCommerce use IBM MQ along with a host of other technologies.

RTView is a non-intrusive and predominately agentless application monitoring solution that provides a lower cost of ownership and unique visibility into microservices, messaging middleware, process orchestration and container infrastructure. In addition to its support for IBM MQ, RTView includes out of the box solution packages to monitor critical technology components offered by Solace, TIBCO, Oracle, and open source components including Kafka, Tomcat, and SpringBoot.

Specific enhancements in RTView to support IBM MQ include:

- Improved usability with the RTView configuration utility now available for the RTView Solution Package for IBM MQ

- Support for configuring SSL from the RTView configuration utility

- Enhanced visibility and context for topics and subscriptions, including publishing rate metrics for publishers and message rate metrics for subscribers

- Additional aggregation and alerts for publishing and message rates

- Read-only visibility into MQ config information by users

- Historical persistence for publishing and message rates

“With the large installed global base of IBM MQ users, MQ continues to be a hugely popular messaging technology. We are committed to continuing to invest in innovative, end-to-end monitoring solutions for our MQ customers,” said Tom Lubinski, SL’s CEO.

RTView Enterprise Edition provides end-to-end visibility into the health of IBM MQ-based applications and the supporting infrastructure. The Solution Package for IBM MQ includes pre-built displays and pre-configured alerts so users can be up and running with minimal effort.

Version 5.2 of the RTView Enterprise Edition will be released in January 2020.

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SL Expands Support for Monitoring IBM MQ in RTView Enterprise Edition 5.2

SL announced expanded support for monitoring of IBM MQ with an upcoming version of its RTView Enterprise Edition Application Monitoring Platform.

The new version offers enhanced usability, security, and additional support for IBM MQ topics and subscriptions. These enhancements make the RTView Application Monitoring solution even more valuable for tracking the performance and availability of applications that include IBM MQ as one of its messaging middleware components. Users are able to understand the impact of MQ issues on critical business applications and drill down to understand MQ-specific issues.

IBM MQ is one of the dominant messaging systems in use today. It supports the exchange of information between applications, systems, services and files by sending and receiving message data via messaging queues. Many mission-critical applications in Finance and eCommerce use IBM MQ along with a host of other technologies.

RTView is a non-intrusive and predominately agentless application monitoring solution that provides a lower cost of ownership and unique visibility into microservices, messaging middleware, process orchestration and container infrastructure. In addition to its support for IBM MQ, RTView includes out of the box solution packages to monitor critical technology components offered by Solace, TIBCO, Oracle, and open source components including Kafka, Tomcat, and SpringBoot.

Specific enhancements in RTView to support IBM MQ include:

- Improved usability with the RTView configuration utility now available for the RTView Solution Package for IBM MQ

- Support for configuring SSL from the RTView configuration utility

- Enhanced visibility and context for topics and subscriptions, including publishing rate metrics for publishers and message rate metrics for subscribers

- Additional aggregation and alerts for publishing and message rates

- Read-only visibility into MQ config information by users

- Historical persistence for publishing and message rates

“With the large installed global base of IBM MQ users, MQ continues to be a hugely popular messaging technology. We are committed to continuing to invest in innovative, end-to-end monitoring solutions for our MQ customers,” said Tom Lubinski, SL’s CEO.

RTView Enterprise Edition provides end-to-end visibility into the health of IBM MQ-based applications and the supporting infrastructure. The Solution Package for IBM MQ includes pre-built displays and pre-configured alerts so users can be up and running with minimal effort.

Version 5.2 of the RTView Enterprise Edition will be released in January 2020.

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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...