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For your eyes only: improving Netflix video quality with neural networks

The Netflix TechBlog

For example, we invest in next-generation, royalty-free codecs and sophisticated video encoding optimizations. Recently, we added another powerful tool to our arsenal: neural networks for video downscaling. How can neural networks fit into Netflix video encoding? Video encoding using a conventional video codec, like AV1.

Network 302
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CSS and Network Performance

CSS Wizardry

In this post I want to look at how CSS can prove to be a substantial bottleneck on the network (both in itself and for other resources) and how we can mitigate it, thus shortening the Critical Path and reducing our time to Start Render. This is best illustrated with an example. Employ Critical CSS.

Network 279
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Dynatrace extends Synthetic Monitoring capabilities with Network Availability Monitors to validate the availability of infrastructure and services

Dynatrace

Why browser and HTTP monitors might not be sufficient In modern IT environments, which are complex and dynamically changing, you often need deeper insights into the Transport or Network layers. Is it a bug in the codebase, a malfunctioning backend service, an overloaded hosting infrastructure, or perhaps a misconfigured network?

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How to Configure Custom Metrics in AWS Elastic Beanstalk Using Memory Metrics Example

DZone

By default, CloudWatch only provides a few basic metrics such as CPU and Networks. For example, if you need information about VM memory consumption, which AWS does not provide out of the box, you can configure the CloudWatch agent to collect this data.

Metrics 241
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Accelerate resolution of network issues with AI-powered event reporting based on SNMP traps

Dynatrace

Monitoring modern IT infrastructure is difficult, sometimes impossible, without advanced network monitoring tools. While the market is saturated with many Network Administrator support solutions, Dynatrace can help you analyze the impact on your organization in an automated manner. Sample SNMP-enabled device configuration. What’s next?

Network 234
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Transforming Telecom With AI/ML: A Deep Dive Into Smart Networks

DZone

With the constant evolution of this sector, the dynamic duo of AI and ML is revolutionizing the telecommunications industry, propelling it towards greater network efficiency, unparalleled customer service, and fortified security measures. Here's an example of how machine learning can optimize network performance:

Network 173
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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. Teams can build on these SLO examples to improve application performance and reliability. In this post, I’ll lay out five SLO examples that every DevOps and SRE team should consider. or 99.99% of the time.

Traffic 173