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Datadog Releases Private Locations for Synthetic Monitoring

Datadog announced the general availability of Private Locations for Synthetic Monitoring.

This new capability enables DevOps teams to proactively monitor internal applications that are not accessible from the public internet, so they can understand the performance of these applications from any location that is mission critical to their business operations.

As modern businesses build and iterate their applications, they rely on Datadog Synthetic Monitoring to ensure their customers have consistent and positive digital experiences. While Datadog’s existing managed locations are useful for simulating application behavior and discovering user experience issues, these are focused on public-facing websites and endpoints. When businesses need to test internal applications or simulate the behavior of applications that serve customers from discrete geographic regions, they require customized synthetic locations.

With the launch and general availability of Private Locations for Synthetic Monitoring, Datadog customers now can achieve testing coverage for both internal-only and public-facing applications. Customers can build code-free tests and reduce their manual overhead with self-maintaining tests from both managed and private locations, thus ensuring that their applications are performant and reliable around the world.

“Since the launch of Synthetic Monitoring in 2019 on top of our monitoring platform, our customers have been able to constantly check the performance of their websites and endpoints across the globe, alongside logs, metrics and traces,” said Renaud Boutet, VP of Product at Datadog. “With private locations generally available, we are now adding coverage to include applications that are not available publicly.”

Private Locations for Datadog Synthetic Monitoring will also allow customers to:

- Deploy the private location as a container inside their internal environments through integrations with Docker, Kubernetes, ECS and other container integrations.

- Easily scale private locations by adding Docker containers, for more nimble proactive testing.

- Automatically correlate between Synthetic Monitoring and APM, logs, infrastructure metrics, and Datadog’s 400+ integrations.

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Datadog Releases Private Locations for Synthetic Monitoring

Datadog announced the general availability of Private Locations for Synthetic Monitoring.

This new capability enables DevOps teams to proactively monitor internal applications that are not accessible from the public internet, so they can understand the performance of these applications from any location that is mission critical to their business operations.

As modern businesses build and iterate their applications, they rely on Datadog Synthetic Monitoring to ensure their customers have consistent and positive digital experiences. While Datadog’s existing managed locations are useful for simulating application behavior and discovering user experience issues, these are focused on public-facing websites and endpoints. When businesses need to test internal applications or simulate the behavior of applications that serve customers from discrete geographic regions, they require customized synthetic locations.

With the launch and general availability of Private Locations for Synthetic Monitoring, Datadog customers now can achieve testing coverage for both internal-only and public-facing applications. Customers can build code-free tests and reduce their manual overhead with self-maintaining tests from both managed and private locations, thus ensuring that their applications are performant and reliable around the world.

“Since the launch of Synthetic Monitoring in 2019 on top of our monitoring platform, our customers have been able to constantly check the performance of their websites and endpoints across the globe, alongside logs, metrics and traces,” said Renaud Boutet, VP of Product at Datadog. “With private locations generally available, we are now adding coverage to include applications that are not available publicly.”

Private Locations for Datadog Synthetic Monitoring will also allow customers to:

- Deploy the private location as a container inside their internal environments through integrations with Docker, Kubernetes, ECS and other container integrations.

- Easily scale private locations by adding Docker containers, for more nimble proactive testing.

- Automatically correlate between Synthetic Monitoring and APM, logs, infrastructure metrics, and Datadog’s 400+ integrations.

The Latest

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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From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...