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ITRS Group Launches ITRS Insights

ITRS Group launched ITRS Insights, a new IT Operation Analytics (ITOA) application, built on its new Valo technology.

Both the application and technology address the challenge of running real-time analysis and search functions on time-series, semi-structured and even unstructured data simultaneously. Valo is an industry independent technology, and ITRS Insights brings these abilities to the growing ITOA space to help businesses extract maximum value from their increasingly plentiful and important operational data.

In data-intensive industries like financial services, unlocking this data can be crucial. Businesses can benefit from previously unavailable insights hidden in their data. These can add value and keep them ahead of the competition, or help them comply with ever-changing regulatory requirements. Insights is capable of delivering this analysis in real-time, across terabytes of data, without the need for batch processing, and can work in tandem with, or independently of, ITRS' existing application monitoring technology, Geneos.

ITRS CTO Justo Ruiz Ferrer explained: “Over the past three years we’ve built Valo from the ground up to crunch through big data, and Insights brings that power to ITOA. You’re now able to cross-analyse semi-structured, unstructured and time-series data in real-time. For example, an investment bank might want to look at their trade latency from data in log files, and system and application metrics to see why latency is unexpectedly high, and whether it’s usual compared to previous historic levels of business activity – that requires a combination of real-time analytics on semi-structured data, and machine learning and anomaly detection on structured historical data respectively. This is now possible with Valo and ITRS Insights.”

Insights is the first application built on ITRS’ new technology, Valo: a software platform with a Software Developer Kit (SDK) that provides the ability to store and perform real-time and historical analytics on masses of data. Valo is industry independent, and ITRS hopes to work both in-house and with partners to build a variety of applications for big-data, real-time analytic intensive use-cases, both in its core financial services space and beyond.

“Valo really is one-of-a-kind combination of the leading concepts in big data and analytics – but we don’t expect it to stay that way,” said Guy Warren, CEO, ITRS. “At the moment, it’s very difficult to handle both time-series and semi-structured data storage so that it can be queried and analysed in real-time. Those trying to do so are usually patching together some combination of standard tools such as Spark and ELK. Having all of that in one powerful, streamlined platform is too valuable to businesses for others not to follow Valo’s lead. The challenge for us is to keep investing in the product so that Valo stays ahead of the game.”

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ITRS Group Launches ITRS Insights

ITRS Group launched ITRS Insights, a new IT Operation Analytics (ITOA) application, built on its new Valo technology.

Both the application and technology address the challenge of running real-time analysis and search functions on time-series, semi-structured and even unstructured data simultaneously. Valo is an industry independent technology, and ITRS Insights brings these abilities to the growing ITOA space to help businesses extract maximum value from their increasingly plentiful and important operational data.

In data-intensive industries like financial services, unlocking this data can be crucial. Businesses can benefit from previously unavailable insights hidden in their data. These can add value and keep them ahead of the competition, or help them comply with ever-changing regulatory requirements. Insights is capable of delivering this analysis in real-time, across terabytes of data, without the need for batch processing, and can work in tandem with, or independently of, ITRS' existing application monitoring technology, Geneos.

ITRS CTO Justo Ruiz Ferrer explained: “Over the past three years we’ve built Valo from the ground up to crunch through big data, and Insights brings that power to ITOA. You’re now able to cross-analyse semi-structured, unstructured and time-series data in real-time. For example, an investment bank might want to look at their trade latency from data in log files, and system and application metrics to see why latency is unexpectedly high, and whether it’s usual compared to previous historic levels of business activity – that requires a combination of real-time analytics on semi-structured data, and machine learning and anomaly detection on structured historical data respectively. This is now possible with Valo and ITRS Insights.”

Insights is the first application built on ITRS’ new technology, Valo: a software platform with a Software Developer Kit (SDK) that provides the ability to store and perform real-time and historical analytics on masses of data. Valo is industry independent, and ITRS hopes to work both in-house and with partners to build a variety of applications for big-data, real-time analytic intensive use-cases, both in its core financial services space and beyond.

“Valo really is one-of-a-kind combination of the leading concepts in big data and analytics – but we don’t expect it to stay that way,” said Guy Warren, CEO, ITRS. “At the moment, it’s very difficult to handle both time-series and semi-structured data storage so that it can be queried and analysed in real-time. Those trying to do so are usually patching together some combination of standard tools such as Spark and ELK. Having all of that in one powerful, streamlined platform is too valuable to businesses for others not to follow Valo’s lead. The challenge for us is to keep investing in the product so that Valo stays ahead of the game.”

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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 ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...