Skip to main content

SL Corporation Releases RTView Core 7.0

SL releases a major update with RTView Core 7.0, a real-time data management system for building large-scale distributed monitoring and control applications.

New enhancements provide significant advantages for alert management, display building, historical data retention, and security capabilities needed for monitoring mission-critical systems.

RTView Core is the real-time data engine behind SL’s middleware and application performance monitoring tools, RTView Enterprise Edition and RTView Middleware Edition as well as TIBCO RTView.

New Alert Scheduler – You can now define the days and times of day to enable or disable specific alerts. For example, you may only want to get alerts during business hours and disable them during evenings, weekends, lunch hours, and holidays, etc.

Updated Display Builder – RTView Core can now automatically save and restore the size and location of the following dialogs:
• Open (File > Open)
• Save (File > Save/Save As)
• Function Results (Function Dialog > Result Button)

New MSSQL Support for Data Historian – The data historian is the historical archive service that allows RTView to save metrics to persistent storage with intelligent data compaction to maximize storage of data as it ages in place. New support for Microsoft SQL Server 2014 and 2016 expands the platform options for customers who want to analyze data over time for trend analysis and retroactive troubleshooting.

Security Updates – These updates enable greater control over data access rights, including:
• Thin client enhanced to check user role access on each request.
• Enhanced Display Server with the option to limit access to specific panel files.
• Counteracted phishing and XSS vulnerabilities in the thin client.

Updated Apache Tomcat Bundles – Apache Tomcat included with RTView has been upgraded from 6.0.18 to 7.0.72.

The Latest

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 ...

SL Corporation Releases RTView Core 7.0

SL releases a major update with RTView Core 7.0, a real-time data management system for building large-scale distributed monitoring and control applications.

New enhancements provide significant advantages for alert management, display building, historical data retention, and security capabilities needed for monitoring mission-critical systems.

RTView Core is the real-time data engine behind SL’s middleware and application performance monitoring tools, RTView Enterprise Edition and RTView Middleware Edition as well as TIBCO RTView.

New Alert Scheduler – You can now define the days and times of day to enable or disable specific alerts. For example, you may only want to get alerts during business hours and disable them during evenings, weekends, lunch hours, and holidays, etc.

Updated Display Builder – RTView Core can now automatically save and restore the size and location of the following dialogs:
• Open (File > Open)
• Save (File > Save/Save As)
• Function Results (Function Dialog > Result Button)

New MSSQL Support for Data Historian – The data historian is the historical archive service that allows RTView to save metrics to persistent storage with intelligent data compaction to maximize storage of data as it ages in place. New support for Microsoft SQL Server 2014 and 2016 expands the platform options for customers who want to analyze data over time for trend analysis and retroactive troubleshooting.

Security Updates – These updates enable greater control over data access rights, including:
• Thin client enhanced to check user role access on each request.
• Enhanced Display Server with the option to limit access to specific panel files.
• Counteracted phishing and XSS vulnerabilities in the thin client.

Updated Apache Tomcat Bundles – Apache Tomcat included with RTView has been upgraded from 6.0.18 to 7.0.72.

The Latest

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 ...