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In-House Model Serving Infrastructure for GPU Flexibility

DZone

As deep learning models evolve, their growing complexity demands high-performance GPUs to ensure efficient inference serving. Many organizations rely on cloud services like AWS, Azure, or GCP for these GPU-powered workloads, but a growing number of businesses are opting to build their own in-house model serving infrastructure.

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Supercharge your end-to-end infrastructure and operations observability experience

Dynatrace

Dynatrace introduced numerous powerful features to its Infrastructure & Operations app, addressing the emerging requirement for enhanced end-to-end infrastructure observability. These enhancements are designed to empower IT operations and SRE teams with more comprehensive visibility and increased efficiency at any time.

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Security by design enhanced by unified observability and security

Dynatrace

At financial services company, Soldo, efficiency and security by design are paramount goals. Since 2015, the Soldo business spend management platform has provided companies with a simple and efficient way to better spend and control company money. What is security by design?

Design 228
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What is infrastructure as code? Discover the basics, benefits, and best practices

Dynatrace

Today, the composable nature of code enables skilled IT teams to create and customize automated solutions capable of improving efficiency. ” While this methodology extends to every layer of the IT stack, infrastructure as code (IAC) is the most prominent example. What is infrastructure as code? Consistency. A lignment.

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

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AWS re:Invent 2024 guide: Cloud observability and AI transformation

Dynatrace

As more organizations move their operations to the cloud, it is crucial for teams to have visibility and control over their applications and infrastructure to ensure smooth and efficient operations. This seamless integration allows organizations to leverage Dynatrace AI-driven observability for more efficient application migrations.

AWS 207
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AIOps for infrastructure monitoring: The observability advantage

Dynatrace

Infrastructure complexity is costing enterprises money. million per year just “keeping the lights on,” with 63% of CIOs surveyed across five continents calling out complexity as their biggest barrier to controlling costs and improving efficiency. Dynatrace news. AIOps can help. AI powers cloud visibility.