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Image Processing Insights

KeyCDN

KeyCDN has significantly simplified the way images are transformed and delivered with our Image Processing service. Our Image Processing service makes it easy to do that. Our Image Processing service will automatically optimize the image quality and reduce the size of the image if no query string is provided.

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Optimizing Google Fonts Performance

Smashing Magazine

Optimizing Google Fonts Performance. Optimizing Google Fonts Performance. It’s fair to say Google Fonts are popular. Without Google Fonts you would be limited to the handful of “ system fonts ” installed on your user’s device. Like all good things, Google Fonts do come with a cost. Browser Caching.

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Kubernetes in the wild report 2023

Dynatrace

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. Observing AI models Running AI models at scale can be resource-intensive.

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Optimising for High Latency Environments

CSS Wizardry

The round trip also measures intermediate steps on that journey such as propagation delay, transmission delay, processing delay, etc. Interestingly, 304 responses are still a form of redirect: the server is redirecting your visitor back to their HTTP cache. Cache Everything If you’re going to do something, try only do it once.

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Performance Hero: Annie Sullivan

Speed Curve

Annie leads the Chrome Speed Metrics team at Google, which has arguably had the most significant impact on web performance of the past decade. It's really important to acknowledge that none of this would have been possible without the great work from Annie and her small-but-mighty Speed Metrics team at Google. Nice job, everyone!

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Implementing AWS well-architected pillars with automated workflows

Dynatrace

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

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