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A Deep Dive Into Serverless UI With TypeScript

Smashing Magazine

A Deep Dive Into Serverless UI With TypeScript. A Deep Dive Into Serverless UI With TypeScript. We’ll be breaking it all down into two parts: deploying a static web application (in this case a Notes application), and then a serverless web application to CloudFront using the Serverless UI library. Ikeh Akinyemi.

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Dynatrace supports Amazon Linux 2023 as an AWS launch partner

Dynatrace

AL2023 is supported by Dynatrace on day one and has been thoroughly tested by our installations team. Dynatrace provides server metrics monitoring in under five minutes, showing servers’ CPU, memory, and network health metrics all the way through to the process level, with no manual configuration necessary. How does Dynatrace help?

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Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies.

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AWS re:Invent 2022 guide: Cloud application modernization remains key issue

Dynatrace

Many organizations turn to cloud migration and cloud application modernization to gain the benefits of serverless environments, such as flexibility, scalability, and more cost-effective cloud infrastructure. . But the process of cloud migration brings complexity. What is serverless computing? – blog .

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Site reliability engineering: 5 things you need to know

Dynatrace

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. Shift-left using an SRE approach means that reliability is baked into each process, app and code change. Dynatrace news.

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

The Netflix TechBlog

A distinct, NN-based, video processing block can evolve independently, be used beyond video downscaling and be combined with different codecs. In our preference-based visual tests, we found that the deep downscaler was preferred by ~77% of test subjects, across a wide range of encoding recipes and upscaling algorithms.

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What is a message queue? How an observability platform eases message queue monitoring

Dynatrace

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.