HP announced HP Service Anywhere, a Software-as-a-Service (SaaS) IT service management (ITSM) solution that delivers a simple-to-use, modern experience that enables IT professionals to increase productivity while managing and delivering high-quality services.
HP Service Anywhere integrates key technologies, such as the market-leading HP Universal Configuration Management Database (UCMDB), which manages services, applications and hardware across the IT environment.
It is populated and maintained with HP Universal Discovery software, which automates discovery and dependency mapping of relevant IT elements.
As part of the HP Converged Cloud strategy, HP Service Anywhere is an ITSM software solution that can be delivered as a service via the cloud.
It enables clients to quickly resolve IT incidents and ensure availability of critical services that drive innovation.
The new solution features an intuitive user interface and is simple to deploy, manage and upgrade.
HP Service Anywhere provides comprehensive service desk capabilities, including the handling of inbound requests and IT service configuration information as well as incident, problem and change management.
The solution features social collaboration for sharing and recording advice and communications. Social collaboration can improve first call resolution (FCR) rates, shorten handling times and reduce escalations by immediately alerting and engaging the right people to resolve issues.
“Our customers expect IT service desk solutions that are simple to use, can scale and will reduce overall costs,” said Dan Cavanaugh, solution engineer, HP Optimize Practice at Linium, an HP partner. “With HP Service Anywhere, we can offer advanced service desk capabilities, such as incident and change management, through a highly scalable solution that is delivered as a service.”
HP Service Anywhere enables clients to:
- Speed deployment and easily extend processes based on Information Technology Infrastructure Library (ITIL) best practices, such as incident management, problem management and change management, through a new process-designer technology that is 100 percent web-based, 100 percent user interface (UI)-driven and codeless.
- Facilitate rapid and seamless upgrades for future releases by creating efficient process work flows using the same codeless configuration approach, which enables data model extensions and easy-to-use forms design.
- Increase staff productivity through unique “in-context” social collaboration directly in the tool, attaching conversation threads to relevant help desk objects in the system for rapid problem resolution.
- Deploy a robust hybrid ITSM solution that seamlessly combines HP Service Anywhere and on-premise HP Service Manager delivering flexibility in linking central IT with lines-of-business IT.
HP Service Anywhere manages and supports end-to-end delivery of required services and runs on a service that guarantees 99.9 percent availability for clients, as well as enhanced security.
“IT service desk solutions need to easily adapt to changing enterprise environments to ensure the best support experience to users,” said Lee Nackman, vice president and general manager, Service and Portfolio Management, Software, HP. “As a native SaaS application, HP Service Anywhere offers clients a feature-rich solution that is quick and easy to deploy, maintain and upgrade.”
HP also announced HP Service Anywhere Foundation Service, a quick-start service to assist clients with deploying and adopting their solutions.
HP Service Anywhere will be available worldwide directly from HP or via its ecosystem of channel partners.
HP Service Anywhere is a key component of the HP IT Performance Suite, the next-generation enterprise performance software platform that enables IT management to improve performance with operational intelligence.
Click here for an online demo and preregistration for a trial of HP Service Anywhere
The Latest
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.
The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...