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Datadog Announces New Integrations with Microsoft Azure

Datadog announced new capabilities and integrations for Microsoft Azure, including support for Azure OpenAI Service, Azure Arc, Cloudcraft for Azure and Cloud Cost Management for Azure.

With added support for Azure Arc—along with Azure OpenAI Service, Cloudcraft and Cloud Cost Management—Datadog is an observability partner that equips Azure organizations to migrate confidently to the cloud, manage costs and monitor AI models.

“Organizations that are investing in generative AI applications built on Microsoft Azure demand access to reliable and accurate performance and cost data,” said Yrieix Garnier, VP of Product at Datadog. “Our new integration with Azure OpenAI Service helps organizations track token consumption so they can understand the primary cost drivers for OpenAI usage.”

“Datadog continues to support cloud observability on the Microsoft Azure cloud platform. Datadog’s latest suite of releases enhances enterprise-wide cloud visibility into Azure and augments Microsoft Cost Management data with observability data. Datadog is a trusted Microsoft partner in helping organizations plan, monitor and accelerate their cloud journeys,” said Tony Surma, CTO of US Partners at Microsoft.

Datadog’s newest capabilities for Azure include:

- Support for Azure Arc: Within the Datadog platform, customers can use tags and other critical metadata to baseline performance pre-migration and monitor Arc connection status post-migration.

- Cloudcraft by Datadog: Azure users can now design enterprise-wide architectural best practices and create real-time diagrams of cloud architectures. Cloudcraft’s drag-and-drop diagram designer, live environment scanner and automatic budget generator make it easy for teams to discover, plan and diagram their cloud architectures.

- Cloud Cost Management for Azure: In today’s macro-economic environment, cloud infrastructure teams need to present cost data to application teams in a meaningful and digestible way. Cloud Cost Management enables application teams to contextualize performance and cost, side-by-side, in a single dashboard. This drives optimum performance, while minimizing wasted resources.

- Integration with Azure OpenAI Service: Datadog’s new integration provides immediate insights into requests, latency and token consumption of Azure OpenAI Service. This enables customers to better optimize costs, troubleshoot issues and monitor performance of their AI-powered applications, including those that leverage ChatGPT.

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Datadog Announces New Integrations with Microsoft Azure

Datadog announced new capabilities and integrations for Microsoft Azure, including support for Azure OpenAI Service, Azure Arc, Cloudcraft for Azure and Cloud Cost Management for Azure.

With added support for Azure Arc—along with Azure OpenAI Service, Cloudcraft and Cloud Cost Management—Datadog is an observability partner that equips Azure organizations to migrate confidently to the cloud, manage costs and monitor AI models.

“Organizations that are investing in generative AI applications built on Microsoft Azure demand access to reliable and accurate performance and cost data,” said Yrieix Garnier, VP of Product at Datadog. “Our new integration with Azure OpenAI Service helps organizations track token consumption so they can understand the primary cost drivers for OpenAI usage.”

“Datadog continues to support cloud observability on the Microsoft Azure cloud platform. Datadog’s latest suite of releases enhances enterprise-wide cloud visibility into Azure and augments Microsoft Cost Management data with observability data. Datadog is a trusted Microsoft partner in helping organizations plan, monitor and accelerate their cloud journeys,” said Tony Surma, CTO of US Partners at Microsoft.

Datadog’s newest capabilities for Azure include:

- Support for Azure Arc: Within the Datadog platform, customers can use tags and other critical metadata to baseline performance pre-migration and monitor Arc connection status post-migration.

- Cloudcraft by Datadog: Azure users can now design enterprise-wide architectural best practices and create real-time diagrams of cloud architectures. Cloudcraft’s drag-and-drop diagram designer, live environment scanner and automatic budget generator make it easy for teams to discover, plan and diagram their cloud architectures.

- Cloud Cost Management for Azure: In today’s macro-economic environment, cloud infrastructure teams need to present cost data to application teams in a meaningful and digestible way. Cloud Cost Management enables application teams to contextualize performance and cost, side-by-side, in a single dashboard. This drives optimum performance, while minimizing wasted resources.

- Integration with Azure OpenAI Service: Datadog’s new integration provides immediate insights into requests, latency and token consumption of Azure OpenAI Service. This enables customers to better optimize costs, troubleshoot issues and monitor performance of their AI-powered applications, including those that leverage ChatGPT.

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Image
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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 ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

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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