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Managing hybrid cloud infrastructure with an observability platform

Dynatrace

While many companies now enlist public cloud services such as Amazon Web Services, Google Public Cloud, or Microsoft Azure to achieve their business goals, a majority also use hybrid cloud infrastructure to accommodate traditional applications that can’t be easily migrated to public clouds.

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A look at the GigaOm 2024 Radar for Cloud Observability

Dynatrace

GigaOm recently released its 2024 Radar Report for Cloud Observability, which includes 21 observability solution providers and analyzes each on their current and emerging features. For example, suppose a company has standardized on a suite of disparate tools to monitor its infrastructure and apps.

Cloud 237
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Trace, diagnose, resolve: Introducing the Infrastructure & Operations app for streamlined troubleshooting

Dynatrace

Infrastructure and operations teams must maintain infrastructure health for IT environments. Traditional tools struggle with the intricacy of modern cloud services and containerized applications. The complex interconnections in cloud-based systems make it crucial to always have a topological overview to understand dependencies.

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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. AI data analysis can help development teams release software faster and at higher quality. In what follows, we explore these key cloud observability trends in 2024.

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Path to NoOps part 2: How infrastructure as code makes cloud automation attainable—and repeatable—at scale

Dynatrace

Infrastructure as code is a way to automate infrastructure provisioning and management. And it’s a crucial step toward achieving cloud automation on the path to NoOps. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code.

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Dynatrace expands root cause analysis to Kubernetes with Davis AI

Dynatrace

Progressive rollouts, rollbacks, storage orchestration, bin packing, self-healing, cost efficiency, and access to the Cloud Native Computing Foundation (CNCF) ecosystem carry heavy observability challenges. Automated Kubernetes root cause analysis: a paradigm shift. Incidents are harder to solve.

Storage 301
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Dynatrace Runtime Vulnerability Analysis now covers the entire application stack

Dynatrace

And the distinction between applications and cloud platforms is blurring. Missing holistic vulnerability analysis creates risk. This is because many organizations lack a holistic view and analysis across all layers of their application ecosystem to minimize the attack surface and protect the weakest links.

Java 242