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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. and is constantly stopping and starting as different part of the document block it.

Network 279
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Observe syslog with Dynatrace ActiveGate, a secure, trusted edge component

Dynatrace

These include traditional on-premises network devices and servers for infrastructure applications like databases, websites, or email. You also might be required to capture syslog messages from cloud services on AWS, Azure, and Google Cloud related to resource provisioning, scaling, and security events.

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Simplified image management: Dive into our end-to-end Harbor and Jenkins integration

Dynatrace

The setup can be further distributed to multiple other registries, like ECR or Azure/Google container registries. With these changes we eliminated the need for complex networking setups and Jenkins restarts. This is done while ensuring secure credential management within Jenkins and Kubernetes.

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Time To First Byte: Beyond Server Response Time

Smashing Magazine

Generating the HTML document quickly plays a big part in minimizing TTFB delays. However, when looking at Googles Core Web Vitals , TTFB starts from the time when the users start navigating to a new page. Connecting to a server on the web typically takes three round trips on the network: DNS: Looking up the server IP address.

Servers 78
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Why Not document.write()?

CSS Wizardry

Because the Preload Scanner deals with tokeniseable src and href attributes, anything buried in JavaScript is invisible to it: document. Async snippets such as the one below suffer the same fate: var script = document. src = ' file.js ' ; document. var script = document. src = ' file.js ' ; document. write ( ' ' ).

Google 308
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Unbundling the Graph in GraphRAG

O'Reilly

at Google, and “ Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks ” by Patrick Lewis, et al., Here’s a simple rough sketch of RAG: Start with a collection of documents about a domain. Split each document into chunks. One more embellishment is to use a graph neural network (GNN) trained on the documents.

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Tight Mode: Why Browsers Produce Different Performance Results

Smashing Magazine

What I got back were two artifacts, one of them being the following video of Akamai web performance expert Robin Marx speaking at We Love Speed in France a few weeks ago: The other artifact is a Google document originally published by Patrick Meenan in 2015 but updated somewhat recently in November 2023. Lets touch on that now.