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Datadog Partners with Microsoft

Datadog announced a new strategic partnership with Microsoft Azure.

As part of this launch, Datadog will now be available in the Azure console as a first class service. This means that Azure customers will be able to implement Datadog as a monitoring solution for their cloud workloads through new streamlined workflows that cover everything from procurement to configuration. The improved onboarding experience makes Datadog setup automatic, so new users can start monitoring the health and performance of their applications with Datadog quickly, whether they are based entirely in Azure or spread across hybrid or multi-cloud environments. With the deepest integration and the easiest configuration, Datadog is now clearly positioned as the premier monitoring solution for Azure.

In addition to the integration enhancements, the new channel through the Azure Marketplace allows customers to draw down on their committed Azure spend to purchase Datadog. This makes it significantly easier for customers to find budget, and also aligns incentives for Azure and Datadog sales teams for better collaboration and engagement in co-sell motions with enterprise clients. As a result, this partnership will enable more Azure customers to leverage Datadog's observability platform to drive successful cloud modernization and migration initiatives.

“Azure is the first cloud to enable a seamless configuration and management experience for customers to use partner solutions like Datadog. Together with Datadog, we are enabling customers to use this experience to monitor their Azure workloads and enable an accelerated transition to the cloud,” said Corey Sanders, Microsoft Corporate VP, Azure.

"Observability is a key capability for any successful cloud migration. Through our new partnership with Microsoft Azure, customers will now have access to the Datadog platform directly in the Azure console, enabling them to migrate, optimize and secure new and migrated workloads," said Amit Agarwal, Chief Product Officer, Datadog.

Through the new experience in the Azure Portal, customers can:

- Purchase a Datadog plan and consolidate billing through the Azure Marketplace

- Start sending Azure logs and metrics to Datadog with a few clicks

- View and manage which Azure resources are monitored by Datadog

- Easily deploy the Datadog agent to Azure hosts and web applications

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Datadog Partners with Microsoft

Datadog announced a new strategic partnership with Microsoft Azure.

As part of this launch, Datadog will now be available in the Azure console as a first class service. This means that Azure customers will be able to implement Datadog as a monitoring solution for their cloud workloads through new streamlined workflows that cover everything from procurement to configuration. The improved onboarding experience makes Datadog setup automatic, so new users can start monitoring the health and performance of their applications with Datadog quickly, whether they are based entirely in Azure or spread across hybrid or multi-cloud environments. With the deepest integration and the easiest configuration, Datadog is now clearly positioned as the premier monitoring solution for Azure.

In addition to the integration enhancements, the new channel through the Azure Marketplace allows customers to draw down on their committed Azure spend to purchase Datadog. This makes it significantly easier for customers to find budget, and also aligns incentives for Azure and Datadog sales teams for better collaboration and engagement in co-sell motions with enterprise clients. As a result, this partnership will enable more Azure customers to leverage Datadog's observability platform to drive successful cloud modernization and migration initiatives.

“Azure is the first cloud to enable a seamless configuration and management experience for customers to use partner solutions like Datadog. Together with Datadog, we are enabling customers to use this experience to monitor their Azure workloads and enable an accelerated transition to the cloud,” said Corey Sanders, Microsoft Corporate VP, Azure.

"Observability is a key capability for any successful cloud migration. Through our new partnership with Microsoft Azure, customers will now have access to the Datadog platform directly in the Azure console, enabling them to migrate, optimize and secure new and migrated workloads," said Amit Agarwal, Chief Product Officer, Datadog.

Through the new experience in the Azure Portal, customers can:

- Purchase a Datadog plan and consolidate billing through the Azure Marketplace

- Start sending Azure logs and metrics to Datadog with a few clicks

- View and manage which Azure resources are monitored by Datadog

- Easily deploy the Datadog agent to Azure hosts and web applications

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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 ...