CA Technologies announced a new version of CA Workload Automation iDash to help customers predict and prevent potential problems across mainframe, distributed and cloud environments and reduce IT downtime.
New predictive analytics are designed to give IT departments the intelligence needed for optimum management and control of workload priorities in the dynamic data center, allowing them to adapt to rapidly changing enterprise demands and opportunities.
"Customers need tools to predict and prevent potential IT problems before they impact business productivity, revenue and customer loyalty,” said Michael Madden, general manager, Mainframe, CA Technologies. “CA offers the power of predictive analytics to help IT more quickly respond to changing priorities and minimize business disruption.
This release of CA Workload Automation iDash adds support for CA Workload Automation CA 7 Edition. It helps monitor the health of workload performance, and manage and report on service levels, trends and predictions. When used in a multi-platform environment, CA Workload Automation iDash delivers an intelligent, cross-enterprise workload automation solution.
"Agile, flexible, dynamic data center operations are critical to driving a positive customer experience,” said Torsten Volk, research director, Enterprise Management Associates. “The predictive analytics coming from CA Workload Automation iDash play a critical role in successful workload automation processes and the delivery of improved service levels, better SLA performance, improved application availability and reducing the risk of job failures.
"CA Workload Automation iDash will help our customers visualize, monitor, analyze and predict the performance of their critical workloads, giving them the flexibility to respond to business needs across the rapidly changing and dynamic data center,” said Antony Askew, CA Technologies Practice Manager at Extra Technology, a CA Technologies global partner. “With CA Technologies we’re delivering the best value to our mutual customers by offering an expanded portfolio of unified cross-enterprise workload services designed for fast business reaction with minimal risk.
The Latest
Organizations recognize the value of observability, but only 10% of them are actually practicing full observability of their applications and infrastructure. This is among the key findings from the recently completed Logz.io 2024 Observability Pulse Survey and Report ...
Businesses must adopt a comprehensive Internet Performance Monitoring (IPM) strategy, says Enterprise Management Associates (EMA), a leading IT analyst research firm. This strategy is crucial to bridge the significant observability gap within today's complex IT infrastructures. The recommendation is particularly timely, given that 99% of enterprises are expanding their use of the Internet as a primary connectivity conduit while facing challenges due to the inefficiency of multiple, disjointed monitoring tools, according to Modern Enterprises Must Boost Observability with Internet Performance Monitoring, a new report from EMA and Catchpoint ...
Choosing the right approach is critical with cloud monitoring in hybrid environments. Otherwise, you may drive up costs with features you don’t need and risk diminishing the visibility of your on-premises IT ...
Consumers ranked the marketing strategies and missteps that most significantly impact brand trust, which 73% say is their biggest motivator to share first-party data, according to The Rules of the Marketing Game, a 2023 report from Pantheon ...
Digital experience monitoring is the practice of monitoring and analyzing the complete digital user journey of your applications, websites, APIs, and other digital services. It involves tracking the performance of your web application from the perspective of the end user, providing detailed insights on user experience, app performance, and customer satisfaction ...
Enterprises are experiencing a 13% year-over-year increase in customer-facing incidents, reflecting rising levels of complexity and risk as businesses drive operational transformation at scale, according to the 2024 State of Digital Operations study from PagerDuty ...
According to Grafana Labs' 2024 Observability Survey, it doesn't matter what industry a company is in or the number of employees they have, the truth is: the more mature their observability practices are, the more time and money they save. From AI to OpenTelemetry — here are four key takeaways from this year's report ...
In an age where technology evolves at a breakneck pace, it's crucial to explore how AI assistants can revolutionize our work processes and daily lives, ultimately enhancing overall performance ...
Nearly all (99%) globa IT decision makers, regardless of region or industry, recognize generative AI's (GenAI) transformative potential to influence change within their organizations, according to The Elastic Generative AI Report ...
