Datadog Launches Updog.ai for Real-Time Monitoring of AWS & SaaS Services

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Datadog has launched Updog.ai, a free public-facing web page that delivers independent, real-time, status monitoring for more than thirty popular SaaS providers and thirteen AWS services, including Amazon S3, AWS Lambda and Amazon DynamoDB.

Updog.ai is powered by anonymized, aggregated observability data and AI models. It provides software developers and engineers with a single dashboard for monitoring the near real-time health of widely used platforms like OpenAI, GitHub, Slack, ServiceNow and Zendesk, besides the cluster of AWS services. It’s freely accessible so that anyone —not just Datadog customers—can check on the live status of the cloud-based software, tools and services that most organisations are dependent on today.

Updog.ai turns anonymized and aggregated APM telemetry data from thousands of organizations into real-time status updates, highlighting performance issues or outages the moment they surface. It helps engineers to quickly isolate and diagnose problems without having to wait for updates from vendor-maintained status pages or third-party aggregators. Updog.ai also leverages Datadog’s ability to track signals and correlate incidents across a global user base to confirm whether errors are systemic. This allows engineers to quickly verify if a problem is local or more widespread.

Pejman Tabassomi, the Field CTO for Europe at Datadog, said: “Observability is typically confined to individual systems, leaving teams to cover their own environments. We have redefined these boundaries by collecting and correlating signals from one of the world’s largest and most diverse streams of telemetry data. Updog.ai represents a shift from helping customers manage their environments to creating a shared intelligence. We’ve applied AI models that identify patterns and risks that no single organization can see on its own, to produce an AI-driven signal that helps users navigate provider reliability. This approach has allowed us to detect issues faster than vendor-controlled pages. For example, Updog.ai recently surfaced an Amazon DynamoDB degradation 32 minutes before AWS updated its own status page.”

Updog.ai is a comprehensive public resource for real-time service transparency that also offers historical views, providing up to 90 days of degradation history, for easy identification of recurring reliability issues. Teams can use these insights to make informed architectural decisions and improve fault tolerance.