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Implementing AWS well-architected pillars with automated workflows

Dynatrace

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud.

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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. The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. AWS re:Invent 2023: IT automation in AWS environments through a multipronged AI approach In almost every industry, generative AI has become a key topic.

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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. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development.

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Container monitoring for VA Platform One helps VA achieve workload performance

Dynatrace

VAPO is available in both Microsoft Azure and AWS. In the development environment, you see exactly where in the pipeline security issues exist, and you can address them right there, so it speeds up development,” Fuqua said. It’s helping us build applications more efficiently and faster and get them in front of veterans.”

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What’s the hype with hyperscale?

Dynatrace

Here’s a list of some key hyperscale benefits: Speed : Hyperscale makes it easy to manage your shifting computing needs. Increase operational efficiency : Hyperscale reduces the layers of control, making it easier to manage modern computer operations. The post What’s the hype with hyperscale?

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

Dynatrace

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. A data lakehouse, therefore, enables organizations to get the best of both worlds.

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Automating Success: Building a better developer experience with platform engineering

Dynatrace

Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. So, they see clusters, pods, and workloads for up to hundreds of Kubernetes clusters across AWS, Azure, and GCP—right within the new Kubernetes app.”