SolarWinds announced the addition of new IT asset management (ITAM) integrations to SolarWinds Discovery, including connections with Microsoft Azure and the SolarWinds Orion Platform, as well an upcoming integration with Jamf software.
These new enhancements will provide organizations with increased visibility through SolarWinds Service Desk across their technology infrastructure, enabling them to reduce IT spending and risk levels while helping improve their overall service management strategy.
By enabling IT teams with a complete picture of their technology infrastructures, they are better equipped to maximize the overall value IT provides to the businesses — which is essential for today’s IT leaders.
The ITAM integrations to SolarWinds Discovery include:
- Microsoft Azure: This integration increases visibility into cloud assets for customers by incorporating asset information from Azure into SolarWinds Service Desk.
- Orion Platform: This integration provides dependency information by automatically detecting, mapping, and importing Orion dependency information into SolarWinds Service Desk.
- Jamf Mobile Device Management (MDM): This integration, which will be available in Q4 2020, will give customers visibility into asset data on Apple devices by incorporating asset information from Jamf into SolarWinds Service Desk.
These new capabilities increase IT asset visibility, help improve alignment between IT assets and service management processes and enable customers to consolidate asset information from Jamf, Azure, Orion and discovery data sources into one, up-to-date repository. This singular asset repository helps organizations keep costs under control by allowing them to track and manage the life cycles of their IT assets.
Additionally, customers can attach detailed configuration information from Jamf and Azure, as well as rich configuration data that includes dependency information from Orion, to incidents and problems in SolarWinds Service Desk, all speeding up the diagnosis and resolution of IT infrastructure issues.
“Just this year the role of the IT professional has vastly evolved with growing expectations to deliver exceptional services while reducing budgets and decreasing costs on hardware and software,” said Steve Stover,VP of Product Strategy, SolarWinds. “These new capabilities focus on supporting service delivery by providing customers with a single source of truth for asset management, which is essential to reducing spend, mitigating risks, staying compliant with software purchases. And, by augmenting our existing capabilities of agent-based and network discovery, organizations big and small gain deeper contextual information and a more complete picture of their IT infrastructure.”
The Latest
In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
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 ...