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Using Dynatrace to master the 5 pillars of the AWS Well-Architected Framework (Part 1)

Dynatrace

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. AWS 5-pillars. Dynatrace and AWS. through our AWS integrations and monitoring support.

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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. Log analysis can reveal potential bottlenecks and inefficient configurations so teams can fine-tune system performance. Accelerated innovation. billion in 2020 to $4.1

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Best Practices in Cloud Security Monitoring

Scalegrid

Native tools, such as CloudWatch from AWS, have more extensive integrations and provide comprehensive protection for data in the cloud compared to their third-party counterparts. For example, Blumira offers a third-party solution while AWS provides its own with CloudWatch.

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Generative AI in the Enterprise

O'Reilly

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. How will AI adopters react when the cost of renting infrastructure from AWS, Microsoft, or Google rises?

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Bringing the Magic of Amazon AI and Alexa to Apps on AWS.

All Things Distributed

Last week, I wrote a blog about helping the machine learning scientist community select the right deep learning framework from among many we support on AWS such as MxNet, TensorFlow, Caffe, etc. Developers can build, test, and deploy chatbots directly from the AWS Management Console.

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