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Dynatrace Launches Japan-based Enterprise Observability Platform on AWS

Dynatrace announced the availability of the Dynatrace® platform on Amazon Web Services (AWS) in Japan.

Local availability of the Dynatrace platform will support the rapid modernization of Japan’s cloud-based infrastructure.

Dynatrace delivers analytics and automation solutions in a single platform for your critical digital challenges in observability, security, analytics, and automation. IT modernization and digital transformation generate vast amounts of observability and security data. The Dynatrace platform unifies this data and leverages advanced analytics and AIOps capabilities to provide accurate answers and intelligent automation, enabling customers to maximize the performance of their cloud-based services.

The local availability of the Dynatrace platform on AWS allows Japan-based customers to streamline deployment and leverage Dynatrace’s tight integration with AWS to achieve optimal efficiency, scalability, and visibility.

“The localization of Dynatrace’s offering in the Japan market demonstrates our commitment to supporting our customers on their transformation journey, working hand-in-hand with our collaborative business partners such as AWS to deliver a precise and complete view of the cloud computing environment,” said Shinji Tokunaga, President at Dynatrace Japan.

The Dynatrace platform on AWS Pacific (Tokyo) Region is available now.

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Dynatrace Launches Japan-based Enterprise Observability Platform on AWS

Dynatrace announced the availability of the Dynatrace® platform on Amazon Web Services (AWS) in Japan.

Local availability of the Dynatrace platform will support the rapid modernization of Japan’s cloud-based infrastructure.

Dynatrace delivers analytics and automation solutions in a single platform for your critical digital challenges in observability, security, analytics, and automation. IT modernization and digital transformation generate vast amounts of observability and security data. The Dynatrace platform unifies this data and leverages advanced analytics and AIOps capabilities to provide accurate answers and intelligent automation, enabling customers to maximize the performance of their cloud-based services.

The local availability of the Dynatrace platform on AWS allows Japan-based customers to streamline deployment and leverage Dynatrace’s tight integration with AWS to achieve optimal efficiency, scalability, and visibility.

“The localization of Dynatrace’s offering in the Japan market demonstrates our commitment to supporting our customers on their transformation journey, working hand-in-hand with our collaborative business partners such as AWS to deliver a precise and complete view of the cloud computing environment,” said Shinji Tokunaga, President at Dynatrace Japan.

The Dynatrace platform on AWS Pacific (Tokyo) Region is available now.

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64% of enterprise networking teams use internally developed software or scripts for network automation, but 61% of those teams spend six or more hours per week debugging and maintaining them, according to From Scripts to Platforms: Why Homegrown Tools Dominate Network Automation and How Vendors Can Help, my latest EMA report ...

Cloud computing has transformed how we build and scale software, but it has also quietly introduced one of the most persistent challenges in modern IT: cost visibility and control ... So why, after more than a decade of cloud adoption, are cloud costs still spiraling out of control? The answer lies not in tooling but in culture ...

CEOs are committed to advancing AI solutions across their organization even as they face challenges from accelerating technology adoption, according to the IBM CEO Study. The survey revealed that executive respondents expect the growth rate of AI investments to more than double in the next two years, and 61% confirm they are actively adopting AI agents today and preparing to implement them at scale ...

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A major architectural shift is underway across enterprise networks, according to a new global study from Cisco. As AI assistants, agents, and data-driven workloads reshape how work gets done, they're creating faster, more dynamic, more latency-sensitive, and more complex network traffic. Combined with the ubiquity of connected devices, 24/7 uptime demands, and intensifying security threats, these shifts are driving infrastructure to adapt and evolve ...

Image
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The development of banking apps was supposed to provide users with convenience, control and piece of mind. However, for thousands of Halifax customers recently, a major mobile outage caused the exact opposite, leaving customers unable to check balances, or pay bills, sparking widespread frustration. This wasn't an isolated incident ... So why are these failures still happening? ...

Cyber threats are growing more sophisticated every day, and at their forefront are zero-day vulnerabilities. These elusive security gaps are exploited before a fix becomes available, making them among the most dangerous threats in today's digital landscape ... This guide will explore what these vulnerabilities are, how they work, why they pose such a significant threat, and how modern organizations can stay protected ...

The prevention of data center outages continues to be a strategic priority for data center owners and operators. Infrastructure equipment has improved, but the complexity of modern architectures and evolving external threats presents new risks that operators must actively manage, according to the Data Center Outage Analysis 2025 from Uptime Institute ...

As observability engineers, we navigate a sea of telemetry daily. We instrument our applications, configure collectors, and build dashboards, all in pursuit of understanding our complex distributed systems. Yet, amidst this flood of data, a critical question often remains unspoken, or at best, answered by gut feeling: "Is our telemetry actually good?" ... We're inviting you to participate in shaping a foundational element for better observability: the Instrumentation Score ...

We're inching ever closer toward a long-held goal: technology infrastructure that is so automated that it can protect itself. But as IT leaders aggressively employ automation across our enterprises, we need to continuously reassess what AI is ready to manage autonomously and what can not yet be trusted to algorithms ...

Much like a traditional factory turns raw materials into finished products, the AI factory turns vast datasets into actionable business outcomes through advanced models, inferences, and automation. From the earliest data inputs to the final token output, this process must be reliable, repeatable, and scalable. That requires industrializing the way AI is developed, deployed, and managed ...