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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. What will the new architecture be?

Cloud 210
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

It requires specialized talent, a new technology stack to manage and deploy models, an ample budget for rising compute costs, and end-to-end security. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues.

Cache 203
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Kubernetes in the wild report 2023

Dynatrace

While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Java, Go, and Node.js

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Driving your FinOps strategy with observability best practices

Dynatrace

FinOps aligns technology initiatives with business objectives while maintaining financial transparency and accountability to reduce unnecessary cloud spend and lower costs. Suboptimal architecture design. This proactive alerting involves combining many technologies that already exist in the Dynatrace platform.

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Security of Quantum Computer Architectures

ACM Sigarch

Or, terms security and quantum computers are often associated with Quantum Key Distribution (QKD) or Quantum True Random Number (QTRNG) technologies. Otherwise, there is a risk of repeating many of the mistakes from classical computers where, for many years, security at the hardware and architecture levels was an afterthought.

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DevOps engineer tools: Deploy, test, evaluate, repeat

Dynatrace

As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. They are similar to site reliability engineers (SREs) who focus on creating scalable, highly reliable software systems. Microsoft Azure. Atlassian Jira. Configuration management.

DevOps 189
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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. They are required to understand the full story of what happened in a system.

Cloud 259