Remove Latency Remove Network Remove Serverless
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How to maximize serverless benefits and overcome its challenges

Dynatrace

Some organizations prefer a serverless approach. Serverless computing provides on-demand access to back-end services on a per-use basis. While serverless benefits have driven substantial market growth over the past few years, there are also disadvantages to serverless computing. Reduced latency. Increased agility.

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

The Netflix TechBlog

Recently, we added another powerful tool to our arsenal: neural networks for video downscaling. In this tech blog, we describe how we improved Netflix video quality with neural networks, the challenges we faced and what lies ahead. How can neural networks fit into Netflix video encoding?

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Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

The new Amazon capability enables customers to improve the startup latency of their functions from several seconds to as low as sub-second (up to 10 times faster) at P99 (the 99th latency percentile). This can cause latency outliers and may lead to a poor end-user experience for latency-sensitive applications.

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What is AWS Lambda?

Dynatrace

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Organizations are realizing the cost savings and management benefits of serverless automation. The benefits of serverless Lambda functions.

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Dynatrace supports the newly released AWS Lambda Response Streaming

Dynatrace

Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. What is a Lambda serverless function? Despite being serverless, the function still requires infrastructure on which to run. Return larger payload sizes. How does Dynatrace help?

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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

We went from an essentially serverless model in a monolithic service, to deploying and maintaining a new microservice that hosted our app backend endpoints. While this gave client teams a very convenient “serverless” model, over time we ran into multiple operational and devex challenges with this service.

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Implementing AWS well-architected pillars with automated workflows

Dynatrace

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. The Dynatrace platform approach to managing your cloud initiatives provides insights and answers to not just see what could go wrong but what could go right.

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