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Dynatrace AI-powered, unified observability is coming to Google Cloud

Dynatrace

Organizations are increasingly embracing cloud- and AI-native strategies, requiring a more automated and intelligent approach to their observability and development practices. Thats why Dynatrace will make its AI-powered, unified observability platform generally available on Google Cloud for all customers later this year.

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Cloud infrastructure monitoring in action: Dynatrace on Dynatrace

Dynatrace

At Dynatrace we host most of our Dynatrace SaaS clusters for paying customers as well as trial users in the Amazon Web Services (AWS) cloud. The Autonomous Cloud Enablement (ACE) Team at Dynatrace has an important role to play in that offering. Since we moved to AWS in May 2014 we have had an availability of 99.95%!

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Hybrid cloud infrastructure explained: Weighing the pros, cons, and complexities

Dynatrace

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. What is hybrid cloud architecture?

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The keys to selecting a platform for end-to-end observability

Dynatrace

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. On average, organizations use 10 different tools to monitor applications, infrastructure, and user experiences across these environments.

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Dynatrace joins the Microsoft Intelligent Security Association

Dynatrace

As organizations adopt more cloud-native technologies, the risk—and consequences—of cyberattacks are also increasing. The Dynatrace platform has been recognized for seamlessly integrating with the Microsoft Sentinel cloud-native security information and event management ( SIEM ) solution. Audit logs.

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Cost-Aware Resilience: Implementing Chaos Engineering Without Breaking the Budget

DZone

Modern distributed systems, like microservices and cloud-native architectures, are built to be scalable and reliable. Chaos engineering is a useful way to test and improve system resilience by intentionally creating controlled failures. However, their complexity can lead to unexpected failures.

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New continuous compliance requirements drive the need to converge observability and security

Dynatrace

More technology, more complexity The benefits of cloud-native architecture for IT systems come with the complexity of maintaining real-time visibility into security compliance and risk posture. Configuration and Compliance , adding the configuration layer security to both applications and infrastructure and connecting it to compliance.

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