Puppet, a member of the ServiceNow Partner Program, has also joined the ServiceNow Service Graph Connector Program by integrating its flagship product, Puppet Enterprise, with Service Graph.
The Service Graph Connector for Puppet integration helps ServiceNow customers quickly, easily, and reliably ingest relevant and accurate data from Puppet-managed assets into ServiceNow's CMDB to make informed decisions across hybrid infrastructures.
Connectors validated by ServiceNow’s Service Graph Connector Program integrate the expertise of the ServiceNow partner ecosystem into Service Graph.
Service Graph Connector for Puppet enables customers to:
- Receive up-to-date insights across hybrid infrastructures to make proactive and well-informed decisions through trusted, relevant data.
- Reduce operational friction and eliminate manual data ingestion by automating data collection and reporting.
- Accelerate changes and remove common bottlenecks associated with deployment activities through better visibility, ingestion, and automation-based varied data sets.
- Reduce risk, stay compliant and ensure healthy audits through asset management.
“The importance of operating with accurate and correct real-time information across hybrid infrastructures is essential in accelerating the resilience of releases and IT projects. The incorrect mapping of configuration items or inaccurate data only leads to more complexity and, on occasion, financial loss,” said Molly Erdle, Product Manager at Puppet. “This new integration gives a full view of IT assets across hybrid infrastructures, so teams can streamline decisions without manual handover to ensure cost containment, compliance, and audibility is met and to avoid risks.”
Earlier this year, Puppet announced the Puppet Spoke, an action engine that can be used to build self-service workflows via the ServiceNow IntegrationHub. ServiceNow teams can build, test and deploy new functionality faster using the Puppet Spoke in conjunction with the enriched CMDB data. The integration gives ServiceNow customers direct access to the automation power of the Puppet engine. Those using the ServiceNow Platform can take advantage of a broad set of actions that Puppet enables, from restarting services to patching machines directly in the ServiceNow platform.
Integrations are certified now on the ServiceNow Store.
"Puppet leverages the power of the entire ecosystem through integrations and partnership to build more comprehensive solutions for customers who need to scale their automation needs," said Jaime Segura, VP of Global Business Development and Alliances at Puppet. "We are seeking to continue to partner with key cloud and DevOps vendors to give I&O teams the flexibility to integrate with products that exist in their expanding and dynamic IT environments, as well as the portability and interoperability they want and need."
ServiceNow Service Graph, the next-generation system of record for digital products and services, evolves the ServiceNow Configuration Management Database (CMDB) beyond inventory and asset management. By using ServiceNow Service Graph, IT organizations are empowered with a broad and deep data foundation for managing the entire lifecycle of digital products and services. Service Graph underpins all ServiceNow products, allowing customers to tie together technology, people, and processes into a service-oriented view. This connected approach enables customers to leverage their existing CMDB investment to rationalize portfolios, automate development and cloud operations, manage risk, and understand ROI, driving high-value business outcomes.
“ServiceNow is leading the future of work by creating great experiences for businesses,” said Jeff Hausman, Senior VP and GM of IT Workflows Operations Management at ServiceNow.
The Latest
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 ...
The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...