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Datadog for Government Achieves In Process Authorization for GovRAMP High

Datadog announced that it is now ‘In Process’ for GovRAMP High Authorization. 

This designation reinforces Datadog for Government’s commitment to delivering secure, scalable observability for the public sector-supporting the stringent cybersecurity requirements of state and local government agencies and educational institutions.

Building on its existing FedRAMP® Moderate authorization and ‘In Process’ status for FedRAMP High, the GovRAMP High ‘In Process’ status signifies that Datadog for Government is actively working toward authorization to support mission-critical workloads and sensitive data in regulated environments. This milestone allows state, local and education (SLED) IT teams-and their vendor partners-to accelerate digital transformation with greater confidence and security.

“This status reflects our continued investment in helping the public sector strengthen operational resilience and improve cost-efficiency,” said Ryan Gault, Regional Director, SLED East at Datadog. “Observability is foundational to delivering secure, high-performing digital services. With Datadog for Government now ‘In Process’ for GovRAMP High, we’re enabling agencies to gain end-to-end visibility, reduce downtime and make smarter use of their IT resources.”

GovRAMP provides a standardized security framework that enables public sector organizations to evaluate cloud services against NIST 800-53 Rev. 5 controls. High-impact authorization ensures that platforms like Datadog for Government can serve SLED agencies with enhanced security, continuous monitoring and simplified procurement through trusted, third-party audits.

Modern SLED organizations are navigating hybrid, multi-cloud and edge environments while striving to improve public service delivery. Datadog for Government helps agencies:

  • Detect and resolve performance issues before they disrupt public- and-student facing systems.
  • Strengthen security posture with continuous threat detection and compliance monitoring.
  • Optimize cloud and on-prem resources to reduce operational costs.
  • Use real-time analytics to enhance digital service delivery and citizen engagement.

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Datadog for Government Achieves In Process Authorization for GovRAMP High

Datadog announced that it is now ‘In Process’ for GovRAMP High Authorization. 

This designation reinforces Datadog for Government’s commitment to delivering secure, scalable observability for the public sector-supporting the stringent cybersecurity requirements of state and local government agencies and educational institutions.

Building on its existing FedRAMP® Moderate authorization and ‘In Process’ status for FedRAMP High, the GovRAMP High ‘In Process’ status signifies that Datadog for Government is actively working toward authorization to support mission-critical workloads and sensitive data in regulated environments. This milestone allows state, local and education (SLED) IT teams-and their vendor partners-to accelerate digital transformation with greater confidence and security.

“This status reflects our continued investment in helping the public sector strengthen operational resilience and improve cost-efficiency,” said Ryan Gault, Regional Director, SLED East at Datadog. “Observability is foundational to delivering secure, high-performing digital services. With Datadog for Government now ‘In Process’ for GovRAMP High, we’re enabling agencies to gain end-to-end visibility, reduce downtime and make smarter use of their IT resources.”

GovRAMP provides a standardized security framework that enables public sector organizations to evaluate cloud services against NIST 800-53 Rev. 5 controls. High-impact authorization ensures that platforms like Datadog for Government can serve SLED agencies with enhanced security, continuous monitoring and simplified procurement through trusted, third-party audits.

Modern SLED organizations are navigating hybrid, multi-cloud and edge environments while striving to improve public service delivery. Datadog for Government helps agencies:

  • Detect and resolve performance issues before they disrupt public- and-student facing systems.
  • Strengthen security posture with continuous threat detection and compliance monitoring.
  • Optimize cloud and on-prem resources to reduce operational costs.
  • Use real-time analytics to enhance digital service delivery and citizen engagement.

The Latest

Outages aren't new. What's new is how quickly they spread across systems, vendors, regions and customer workflows. The moment that performance degrades, expectations escalate fast. In today's always-on environment, an outage isn't just a technical event. It's a trust event ...

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...