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Generative AI model observability, cloud modernization take center stage with partners at Dynatrace Perform 2024

Dynatrace

At this year’s Perform, we are thrilled to have our three strategic cloud partners, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), returning as both sponsors and presenters to share their expertise about cloud modernization and observability of generative AI models.

Cloud 217
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Cloud monitoring for the warfighter advantage with Paul Puckett

Dynatrace

Paul Puckett, Director of the Enterprise Cloud Management Agency (ECMA). Cloud integration and application performance monitoring at the federal level is in full force. Puckett and Steve Mazzuca, Director DoD Programs at Dynatrace, discussed Mr. Puckett’s role in this large-scale, multi-cloud transformation.

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What Is a Workload in Cloud Computing

Scalegrid

What is workload in cloud computing? Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. The environments, which were previously isolated, are now working seamlessly under central control.

Cloud 130
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AIOps observability adoption ascends in healthcare

Dynatrace

As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation. exemplifies this trend, where cloud transformation and artificial intelligence are popular topics.

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Application vulnerabilities: Important lessons from the OWASP top 10 about application security risks

Dynatrace

In today’s complex multicloud environments, ensuring that your cloud applications are protected and secure is critical. The advent of microservices and serverless computing means that cloud-based applications may consist of thousands of containerized services. Apply threat modeling and plausibility checks.

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Dynatrace achieves AWS Machine Learning Competency as it continues to enable a new generation of automated enterprise cloud

Dynatrace

This week Dynatrace achieved Amazon Web Services (AWS) Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category. The designation reflects AWS’ recognition that Dynatrace has demonstrated deep experience and proven customer success building AI-powered solutions on AWS. Dynatrace news.

AWS 146
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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

This approach enables organizations to use this data to build artificial intelligence (AI) and machine learning models from large volumes of disparate data sets. These include application programming interfaces, streaming, and more. Unlike data warehouses, however, data is not transformed before landing in storage.