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Datadog Announces ServiceNow Service Graph Connector

Datadog joined the ServiceNow Service Graph Connector Program, a new designation within the Technology Partner Program, and released a Service Graph Connector for Datadog.

This two-way integration allows joint Datadog and ServiceNow customers to better manage the health of digital services.

Datadog Service Graph Connector enhances IT operation’s ability to monitor and resolve digital service issues by adding critical observability and infrastructure data into the Service Graph, enabling customers to:

- Better understand the business context of resources or services being monitored in Datadog

- Gain improved visibility into applications, services, and their relationship with the underlying infrastructure that powers them in the Service Graph and CMDB

Datadog’s platform provides customers with visibility into the health and performance of their entire infrastructure. With the Service Graph Connector, customers can now leverage information from the ServiceNow Service Graph and CMDB in Datadog for better notifications with actionable context included when an alert triggers.

Additionally, customers can leverage the ServiceNow Service Graph and CMDB for better IT operations. By relying on Datadog as a discovery mechanism for their cloud resources, customers can ensure their CMDB has near real-time results.

“ServiceNow customers rely on their CMDB as a mechanism to keep track of all of their resources and configuration changes,” said Ilan Rabinovitch, VP of Product and Community, Datadog. “Datadog’s leading cloud monitoring platform and new connector will bring their CMDB into the cloud age by automatically discovering and adding in cloud resources as configuration items.”

The new Service Graph Connector for Datadog can be downloaded from the ServiceNow Store and configured on the Datadog ServiceNow integration tile.

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Datadog Announces ServiceNow Service Graph Connector

Datadog joined the ServiceNow Service Graph Connector Program, a new designation within the Technology Partner Program, and released a Service Graph Connector for Datadog.

This two-way integration allows joint Datadog and ServiceNow customers to better manage the health of digital services.

Datadog Service Graph Connector enhances IT operation’s ability to monitor and resolve digital service issues by adding critical observability and infrastructure data into the Service Graph, enabling customers to:

- Better understand the business context of resources or services being monitored in Datadog

- Gain improved visibility into applications, services, and their relationship with the underlying infrastructure that powers them in the Service Graph and CMDB

Datadog’s platform provides customers with visibility into the health and performance of their entire infrastructure. With the Service Graph Connector, customers can now leverage information from the ServiceNow Service Graph and CMDB in Datadog for better notifications with actionable context included when an alert triggers.

Additionally, customers can leverage the ServiceNow Service Graph and CMDB for better IT operations. By relying on Datadog as a discovery mechanism for their cloud resources, customers can ensure their CMDB has near real-time results.

“ServiceNow customers rely on their CMDB as a mechanism to keep track of all of their resources and configuration changes,” said Ilan Rabinovitch, VP of Product and Community, Datadog. “Datadog’s leading cloud monitoring platform and new connector will bring their CMDB into the cloud age by automatically discovering and adding in cloud resources as configuration items.”

The new Service Graph Connector for Datadog can be downloaded from the ServiceNow Store and configured on the Datadog ServiceNow integration tile.

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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 ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

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