FrontRange announced the upcoming release of HEAT 2013, a service management solution designed to simultaneously support on-premise, multi-tenant cloud and/or hybrid deployments from a single, unified platform.
HEAT 2013 will begin its general availability at the end of May.
With the release of HEAT 2013, a host of new capabilities are now available including:
- New User Interface: provides new streamlined and context based user interface for improved analyst efficiency.
- Social Groups: provides the ability to post messages directly to specified service teams, social groups and/or user profiles.
- My Watch List: provides one-click access to recent work or accessed items to improve service analyst’s productivity.
- HEAT Cloud Connect: provides tighter integration with external applications by triggering workflow advancement when jobs are created or a specific object field is updated.
- Customizable UI: enables organizations to adjust the look and feel in alignment with a customer's branding on Self Service and Service Analyst User Interface (UI).
- New web services APIs: provides the ability to populate service requests and leverage advanced search capabilities.
- Language Localization: German, Dutch and Portuguese is now supported in addition to English, French and Spanish.
- IE 10 Support
To help customers easily migrate to and/or from a cloud or on-premise deployment, HEAT 2013 features Configuration Management Tool for simplified set-up and configuration to ensure proper change management. The integrity of a customer's existing configurations, no matter how extensive, is easily transferred with FrontRange upgrades.
HEAT is based on ITIL best practices that now extend beyond IT to customers' core business units including HR, finance, facilities and operations.
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 ...