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AWS re:Invent 2023 guide: Generative AI takes a front seat

Dynatrace

At the AWS re:Invent 2023 conference, generative AI is a centerpiece. In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more. So, what is artificial intelligence?

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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

Digital transformation with AWS: Making it real with AIOps. When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources.

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AWS re:Invent 2021 shines light on cloud-native observability

Dynatrace

Increasingly, organizations see IT modernization as their on-ramp to product innovation and cost reduction. Given the importance of this conversation for various organizations, IT modernization is the focus of AWS re:Invent 2021. AWS re:Invent 2021: Modernizing for cloud-native environments. Dynatrace news.

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Dynatrace Perform 2022 delivers software intelligence as code, real-time attack blocking

Dynatrace

These enhancements help development teams bring higher quality and more secure innovations to market faster and with greater efficiency. “We With this announcement, Dynatrace delivers software intelligence as code, including broad and deep observability, application security, and advanced AIOps (or AI for operations) capabilities.

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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. Accordingly, these platforms provide a unified, consistent DevOps and IT experience. Hybrid capabilities extend beyond what a private data center—and in-house IT and DevOps teams—can provide.

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Dynatrace extends automatic and intelligent observability to cloud and Kubernetes logs for smarter automation at scale

Dynatrace

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Manual troubleshooting is painful, hurts the business, and slows down innovation.

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Automating Success: Building a better developer experience with platform engineering

Dynatrace

Each use case provides its own unique value and impact, and whoever sees value in the use cases can adopt it—whether they are a platform engineer, DevOps engineer, performance engineer, or a site reliability engineer (SRE). According to Gardner, teams gradually deliver software to user groups with progressive delivery.