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Fueling the next wave of IT operations: Modernization with generative AI

Dynatrace

At every organization, the digital landscape is evolving rapidly, presenting IT operations teams with unique challenges. Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. Some of these challenges involve basic tasks—such as data collection.

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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.

Cloud 204
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Automating Success: Building a better developer experience with platform engineering

Dynatrace

The various presenters in this session aligned platform engineering use cases with the software development lifecycle. Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability.

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Mastering Hybrid Cloud Strategy

Scalegrid

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. The public cloud’s ability to scale efficiently enables ‘cloudbursting’ when demand spikes without requiring businesses to overprovision their own infrastructures.

Strategy 130
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

While off-the-shelf models assist many organizations in initiating their journeys with generative AI (GenAI), scaling AI for enterprise use presents formidable challenges. Model observability provides visibility into resource consumption and operation costs, aiding in optimization and ensuring the most efficient use of available resources.

Cache 199
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Improving our video encodes for legacy devices

The Netflix TechBlog

and thus fall back to less efficient encode families. Since then, we have applied innovations such as shot-based encoding and newer codecs to deploy more efficient encode families. Since then, we have applied innovations such as shot-based encoding and newer codecs to deploy more efficient encode families.

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What is full stack observability?

Dynatrace

Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. A full-stack observability solution uses telemetry data such as logs, metrics, and traces to give IT teams insight into application, infrastructure, and UX performance.

DevOps 225