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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.

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Driving your FinOps strategy with observability best practices

Dynatrace

Following FinOps practices, engineering, finance, and business teams take responsibility for their cloud usage, making data-driven spending decisions in a scalable and sustainable manner. Suboptimal architecture design. Poorly designed cloud solutions can become costly over time. ” But Dynatrace goes further.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

Integrations with cloud services and custom models such as OpenAI, Amazon Translate, Amazon Textract, Azure Computer Vision, and Azure Custom Vision provide a robust framework for model monitoring. Estimates show that NVIDIA, a semiconductor manufacturer, could release 1.5 million AI server units annually by 2027, consuming 75.4+

Cache 209
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What is FinOps? How to keep cloud spend in check

Dynatrace

The result is smarter, data-driven solutions designed to manage cloud spend. FinOps helps engineering, development, finance, and business teams meet critical key performance indicators (KPIs) and fulfill service-level agreements. What is FinOps? There are some challenges with implementing FinOps.

Cloud 201
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Top 13 Site Reliability Engineer (SRE) Tools

Dotcom-Montior

The role and responsibilities of a site reliability engineer (SRE) may vary depending on the size of the organization. For the most part, a site reliability engineer is focused on multiple tasks and projects at one time, so for most SREs, the various tools they use reflect their eve-evolving responsibilities. Programming Languages.

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Implementing AWS well-architected pillars with automated workflows

Dynatrace

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. And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 252
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Weighing a microservices approach means covering all architecture bases

Dynatrace

In fact, giants like Google and Microsoft once employed monolithic architectures almost exclusively. One large team generally maintains the source code in a centralized repository that’s visible to all engineers, who commit their code in a single build. Experienced developers see microservice design patterns as more platform-agnostic.