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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

Most approaches focus on improving Power Usage Effectiveness (PUE), a data center energy-efficiency measure. energy-efficient data centers—cloud providers—achieve values closer to 1.2. Of course, you need to balance these opportunities with the business goals of the applications served by these hosts. A PUE of 1.0

Cloud 207
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Managing the Dynatrace API across multiple thousand environments

Dynatrace

To do that, we need an easy and efficient API access to all of our Dynatrace Environments, without having to create and maintain API access tokens of individual tenants. TenantCache: a cache to store tenant information and API token information and semi-permanent data to avoid unnecessary roundtrips. ? Consolidating the APIs.

Cache 234
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WebP Caching has Landed!

KeyCDN

We’re happy to announce that WebP Caching has landed! How Does WebP Caching Work? you use image processing, you can of course use all other commands available such as resizing or cropping.When the Image Processing feature is enabled, the Origin Shield is set to enabled and the Ignore Query String is set to disabled.

Cache 81
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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

Over the course of this post, we will talk about our approach to this migration, the strategies that we employed, and the tools we built to support this. This allows the app to query a list of “paths” in each HTTP request, and get specially formatted JSON (jsonGraph) that we use to cache the data and hydrate the UI.

Latency 241
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Meet Hydrogen: A React Framework For Dynamic, Contextual And Personalized E-Commerce

Smashing Magazine

On top of this foundation, we add layers of caching, prerendering and edge delivery optimizations — not the other way around. Hydrogen fuels dynamic commerce by uniting React Server Components, streaming server-side rendering, and smart caching controls. Large preview ). This is not a debate about dynamic vs. static.

Cache 137
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Fundamentals of Table Expressions, Part 12 – Inline Table-Valued Functions

SQL Performance

I also compare them with stored procedures, mainly focusing on differences in terms of default optimization strategy, and plan caching and reuse behavior. The main plus is it enables query simplifications that can sometimes result in more efficient plans. In my examples I’ll use a sample database called TSQLV5. plan_handle , Q.

Cache 144
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Building an elastic query engine on disaggregated storage

The Morning Paper

Analysed from the perspective of cloud-native design this presents a number of issues: CPU, memory, storage, and bandwidth resources are all aggregated at each node, and can’t be scaled independently, making it hard to fit a workload efficiently across multiple dimensions. A consistent hashing scheme maps data to nodes.

Storage 112