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Moogsoft Observability Cloud Integrates with Datadog

Moogsoft Joins Datadog Marketplace

Moogsoft announced a new integration with Datadog. Available through the Datadog Marketplace, this new integration enables IT Ops, DevOps, and SRE teams to easily start ingesting events and metrics from Datadog into the Moogsoft Observability Cloud.

Datadog’s monitoring and security platform provides metrics, traces, logs, and more to provide observability for modern environments. This new integration allows SREs, IT Ops, and DevOps pros to instantly see context-rich Moogsoft-generated incidents from across the full stack in either platform, boosting service availability. Put simply, it slashes the time an SRE must spend sifting through data to get to the cause of a service outage.

Time spent triaging alerts and identifying incident root cause impairs the value DevOps practitioners and SRE teams can deliver to organizations. Using this new integration, customers can leverage Moogsoft’s algorithms in conjunction with Datadog’s insights to automate the identification of critical, actionable data, then correlate meaningful alerts into context-rich incidents that they can quickly resolve from within the Datadog Incident Dashboard.

“Customers rely on Datadog to quickly be alerted on production issues and help them find resolutions,” said Ilan Rabinovitch, VP of Product and Community at Datadog. “The root cause analysis that Watchdog and our partners provide ensures that engineering teams can respond to incidents more effectively. Moogsoft combines Datadog’s findings with those of other toolsets to enrich and augment the insights available to developers. We are excited to welcome them into the ecosystem of partners available via the Datadog Marketplace.”

Using this integration, Datadog users can use both platforms to:

- Achieve more context across incidents: Joint customers can use Moogsoft and Datadog to enrich telemetry from Metrics, Events and Logs APIs, as well as CI data from Datadog’s Topology APIs, with other data from across their environments including configuration database management systems (CMDBs), asset management databases, discovery systems and more.

- Accelerate identification of root cause: Moogsoft automatically adds key incident information such as location, department, business criticality, service relationships, runbooks and escalation processes.

- Minimize the impact and time spent on service-impacting outages: Moogsoft and Datadog algorithms automatically surface anomalies to Datadog customers, helping them address incidents before they introduce service impacts.

- Accelerate Monitoring Transformation: Moogsoft and Datadog automate event correlation across legacy on-premises systems and modern multi-cloud environments in one place, eliminating duplicates and effectively reducing the overall number of incidents across the full stack.

“The avalanche of data coming from modern environments is simply too much for the human mind to process, and is a major drag on the efficiency of SRE teams,” said Phil Tee, Founder and CEO of Moogsoft. “This integration between Moogsoft and Datadog equips our joint customers with AI to automate the analysis of any data into actionable insights, freeing humans to spend time innovating. Best of all, Datadog users can start seeing these results in the time it takes to make a cappuccino!”

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Moogsoft Observability Cloud Integrates with Datadog

Moogsoft Joins Datadog Marketplace

Moogsoft announced a new integration with Datadog. Available through the Datadog Marketplace, this new integration enables IT Ops, DevOps, and SRE teams to easily start ingesting events and metrics from Datadog into the Moogsoft Observability Cloud.

Datadog’s monitoring and security platform provides metrics, traces, logs, and more to provide observability for modern environments. This new integration allows SREs, IT Ops, and DevOps pros to instantly see context-rich Moogsoft-generated incidents from across the full stack in either platform, boosting service availability. Put simply, it slashes the time an SRE must spend sifting through data to get to the cause of a service outage.

Time spent triaging alerts and identifying incident root cause impairs the value DevOps practitioners and SRE teams can deliver to organizations. Using this new integration, customers can leverage Moogsoft’s algorithms in conjunction with Datadog’s insights to automate the identification of critical, actionable data, then correlate meaningful alerts into context-rich incidents that they can quickly resolve from within the Datadog Incident Dashboard.

“Customers rely on Datadog to quickly be alerted on production issues and help them find resolutions,” said Ilan Rabinovitch, VP of Product and Community at Datadog. “The root cause analysis that Watchdog and our partners provide ensures that engineering teams can respond to incidents more effectively. Moogsoft combines Datadog’s findings with those of other toolsets to enrich and augment the insights available to developers. We are excited to welcome them into the ecosystem of partners available via the Datadog Marketplace.”

Using this integration, Datadog users can use both platforms to:

- Achieve more context across incidents: Joint customers can use Moogsoft and Datadog to enrich telemetry from Metrics, Events and Logs APIs, as well as CI data from Datadog’s Topology APIs, with other data from across their environments including configuration database management systems (CMDBs), asset management databases, discovery systems and more.

- Accelerate identification of root cause: Moogsoft automatically adds key incident information such as location, department, business criticality, service relationships, runbooks and escalation processes.

- Minimize the impact and time spent on service-impacting outages: Moogsoft and Datadog algorithms automatically surface anomalies to Datadog customers, helping them address incidents before they introduce service impacts.

- Accelerate Monitoring Transformation: Moogsoft and Datadog automate event correlation across legacy on-premises systems and modern multi-cloud environments in one place, eliminating duplicates and effectively reducing the overall number of incidents across the full stack.

“The avalanche of data coming from modern environments is simply too much for the human mind to process, and is a major drag on the efficiency of SRE teams,” said Phil Tee, Founder and CEO of Moogsoft. “This integration between Moogsoft and Datadog equips our joint customers with AI to automate the analysis of any data into actionable insights, freeing humans to spend time innovating. Best of all, Datadog users can start seeing these results in the time it takes to make a cappuccino!”

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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