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Flexible, scalable, self-service Kubernetes native observability now in General Availability

Dynatrace

The application consists of several microservices that are available as pod-backed services. This solution offers both maximum efficiency and adherence for the toughest privacy or compliance demands. Information about each of these topics will be available in upcoming announcements. The following example drives the point home.

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Microsoft Ignite 2024 guide: Cloud observability for AI transformation

Dynatrace

Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies. The Dynatrace and Microsoft partnership provides innovative solutions that enhance customer experience, improve efficiency, and generate considerable savings.

Cloud 263
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New integrations announced at AWS re:Invent enhance cloud performance, security, and automation

Dynatrace

These innovations promise to streamline operations, boost efficiency, and offer deeper insights for enterprises using AWS services. This year’s AWS re:Invent will showcase a suite of new AWS and Dynatrace integrations designed to enhance cloud performance, security, and automation.

AWS 298
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Mastering Scalability and Performance: A Deep Dive Into Azure Load Balancing Options

DZone

As organizations increasingly migrate their applications to the cloud, efficient and scalable load balancing becomes pivotal for ensuring optimal performance and high availability.

Azure 287
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Predictable costs for Log Management & Analytics with new simplified licensing plan

Dynatrace

Drive efficiency and get more value out your logs with this predictable pricing model while youre building your log analytics practices. Disclaimer: This publication may include references to the planned testing, release, and/or availability of Dynatrace products and services.

Analytics 246
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Better dashboarding with Dynatrace Davis AI: Instant meaningful insights

Dynatrace

Activate Davis AI to analyze charts within seconds Davis AI can help you expand your dashboards and dive deeper into your available data to extract additional information. This ensures optimal resource utilization and cost efficiency. This is where Davis AI for exploratory analytics can make all the difference.

Traffic 262
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Foundation Model for Personalized Recommendation

The Netflix TechBlog

These insights have shaped the design of our foundation model, enabling a transition from maintaining numerous small, specialized models to building a scalable, efficient system. At inference time, when multi-step decoding is needed, we can deploy KV caching to efficiently reuse past computations and maintain lowlatency.

Tuning 200