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OpTier Launches Business Events Module

Utilizing Complex Event Processing Engine for Real-Time Monitoring of Business Transactions

OpTier has launched the Business Events module to monitor real-time business transactions and give enterprises the power to make rapid, proactive decisions by providing continuous intelligence.

Built around a Complex Event Processing (CEP) engine, the Business Events module for OpTier BTM monitors real-time business transaction, end-user experience events and third-party data from a variety of sources. As scenarios develop that require immediate attention, business rules alert IT and the enterprise to the developing situation.

The module brings together events that impact business transactions, processes, activities and customer experience into one integrated solution. For example, in the event of a bottleneck occurring in a loan application process, banks can immediately understand the number of loans in process, type of loans, the amount of money tied to the loans and application performance in order to resolve the issue before it impacts applicants. By taking such a proactive management approach to events, organizations can mitigate and reduce operational risk.

Information about events can be tailored to be displayed via a role-based dashboard to provide customized alerts and reports that empower decision making. Bringing together relevant data sources through BTM allows companies to spot and act on trends, either in real-time or through historical analysis.

"The new solution supports both business and IT roles with real-time and trending insights into how IT services truly impact business outcomes, as well as how monitored business behaviors can be evaluated within their own contexts," says Dennis Drogseth, VP, EMA.

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OpTier Launches Business Events Module

Utilizing Complex Event Processing Engine for Real-Time Monitoring of Business Transactions

OpTier has launched the Business Events module to monitor real-time business transactions and give enterprises the power to make rapid, proactive decisions by providing continuous intelligence.

Built around a Complex Event Processing (CEP) engine, the Business Events module for OpTier BTM monitors real-time business transaction, end-user experience events and third-party data from a variety of sources. As scenarios develop that require immediate attention, business rules alert IT and the enterprise to the developing situation.

The module brings together events that impact business transactions, processes, activities and customer experience into one integrated solution. For example, in the event of a bottleneck occurring in a loan application process, banks can immediately understand the number of loans in process, type of loans, the amount of money tied to the loans and application performance in order to resolve the issue before it impacts applicants. By taking such a proactive management approach to events, organizations can mitigate and reduce operational risk.

Information about events can be tailored to be displayed via a role-based dashboard to provide customized alerts and reports that empower decision making. Bringing together relevant data sources through BTM allows companies to spot and act on trends, either in real-time or through historical analysis.

"The new solution supports both business and IT roles with real-time and trending insights into how IT services truly impact business outcomes, as well as how monitored business behaviors can be evaluated within their own contexts," says Dennis Drogseth, VP, EMA.

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 ...