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Dynatrace Platform Receives StateRAMP Authorization

Dynatrace announced its platform has achieved StateRAMP authorization at the Moderate Impact Level.

The authorization demonstrates to state and local governments and public educational institutions in the United States that the Dynatrace® Software Intelligence Platform meets the strict security and compliance standards required to enable secure and flawless digital interactions and drive digital transformation initiatives at scale.

StateRAMP is a cybersecurity attestation modeled after FedRAMP and verified through a rigorous compliance audit and continuous monitoring conducted by the nonprofit StateRAMP organization. The program is gaining momentum across state and local government and education agencies. This reflects agencies’ increased demand for cybersecurity, digital services, and cloud-based solutions, which according to the National Association of State Chief Information Officers (NASCIO), are among the top 5 agency priorities for 2022.

As Steve Tack, SVP of Product Management at Dynatrace, said, “We are proud to partner with public sector agencies across the US and worldwide to ensure the government and education services we rely on are delivered rapidly, efficiently, and securely. These services are built on hybrid and multicloud architectures, which increase complexity and cyber risk. To ensure application security and resilience and drive efficient operations with limited resources, public sector teams need a solution that provides precise answers and intelligent automation from the enormous amounts of cloud data while ensuring they meet the strictest cybersecurity standards. Obtaining StateRAMP authorization provides additional confirmation that the Dynatrace platform meets these standards. It also underscores our commitment to helping government agencies worldwide ensure flawless and secure digital services for their citizens.”

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Dynatrace Platform Receives StateRAMP Authorization

Dynatrace announced its platform has achieved StateRAMP authorization at the Moderate Impact Level.

The authorization demonstrates to state and local governments and public educational institutions in the United States that the Dynatrace® Software Intelligence Platform meets the strict security and compliance standards required to enable secure and flawless digital interactions and drive digital transformation initiatives at scale.

StateRAMP is a cybersecurity attestation modeled after FedRAMP and verified through a rigorous compliance audit and continuous monitoring conducted by the nonprofit StateRAMP organization. The program is gaining momentum across state and local government and education agencies. This reflects agencies’ increased demand for cybersecurity, digital services, and cloud-based solutions, which according to the National Association of State Chief Information Officers (NASCIO), are among the top 5 agency priorities for 2022.

As Steve Tack, SVP of Product Management at Dynatrace, said, “We are proud to partner with public sector agencies across the US and worldwide to ensure the government and education services we rely on are delivered rapidly, efficiently, and securely. These services are built on hybrid and multicloud architectures, which increase complexity and cyber risk. To ensure application security and resilience and drive efficient operations with limited resources, public sector teams need a solution that provides precise answers and intelligent automation from the enormous amounts of cloud data while ensuring they meet the strictest cybersecurity standards. Obtaining StateRAMP authorization provides additional confirmation that the Dynatrace platform meets these standards. It also underscores our commitment to helping government agencies worldwide ensure flawless and secure digital services for their citizens.”

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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.