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Grafana Labs Achieves FedRAMP High Authorization

Grafana Labs has obtained Federal Risk and Authorization Management Program (FedRAMP) High Authorization through Palantir Technologies’ FedStart Program.

Additionally, Grafana Labs has achieved compliance with Impact Level 5 (IL5) requirements, the corresponding authorization for DoD agencies. This is an important milestone that makes enterprise-grade observability accessible to organizations operating in highly regulated environments.

Grafana Labs has achieved a significant milestone with its FedRAMP High Authorization and IL5 compliance, enabling the company to deliver innovative observability solutions that allow government agencies and their commercial partners to better understand and manage their complex systems and infrastructure. Grafana Federal Cloud is a fully managed, highly scalable observability platform, powered by the industry-leading LGTM stack: Grafana Mimir for Prometheus metrics, Grafana Loki for logs, Grafana Tempo for traces, and Grafana, the de facto standard for data visualization.

"Our open source solutions have been used by federal agencies like the Department of Defense for years, but achieving FedRAMP High Authorization and IL5 compliance for our managed solution represents a significant step forward in our federal strategy," said Ash Mazhari, Grafana Labs VP of Corporate Development. "This authorization transforms Grafana from an open source tool to a strategic, managed observability platform for the most sensitive and mission-critical government infrastructure. Our partnership with Palantir accelerates our ability to deliver secure, scalable observability solutions that meet the highest standards of federal compliance and operational excellence.”

Grafana Federal Cloud is now listed on the FedRAMP Marketplace as part of the Palantir Federal Cloud Service, making it accessible to federal agencies and their commercial partners.

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Grafana Labs Achieves FedRAMP High Authorization

Grafana Labs has obtained Federal Risk and Authorization Management Program (FedRAMP) High Authorization through Palantir Technologies’ FedStart Program.

Additionally, Grafana Labs has achieved compliance with Impact Level 5 (IL5) requirements, the corresponding authorization for DoD agencies. This is an important milestone that makes enterprise-grade observability accessible to organizations operating in highly regulated environments.

Grafana Labs has achieved a significant milestone with its FedRAMP High Authorization and IL5 compliance, enabling the company to deliver innovative observability solutions that allow government agencies and their commercial partners to better understand and manage their complex systems and infrastructure. Grafana Federal Cloud is a fully managed, highly scalable observability platform, powered by the industry-leading LGTM stack: Grafana Mimir for Prometheus metrics, Grafana Loki for logs, Grafana Tempo for traces, and Grafana, the de facto standard for data visualization.

"Our open source solutions have been used by federal agencies like the Department of Defense for years, but achieving FedRAMP High Authorization and IL5 compliance for our managed solution represents a significant step forward in our federal strategy," said Ash Mazhari, Grafana Labs VP of Corporate Development. "This authorization transforms Grafana from an open source tool to a strategic, managed observability platform for the most sensitive and mission-critical government infrastructure. Our partnership with Palantir accelerates our ability to deliver secure, scalable observability solutions that meet the highest standards of federal compliance and operational excellence.”

Grafana Federal Cloud is now listed on the FedRAMP Marketplace as part of the Palantir Federal Cloud Service, making it accessible to federal agencies and their commercial partners.

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Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

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