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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

Caching them at the other end: How long should we cache files on a user’s device? Cache This is the easy one. Caching is something I’ve been a little obsessed with lately , but for static assets as we’re discussing today, we don’t need to know much other than: cache everything as aggressively as possible.

Cache 353
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Cache Grab: How Much Are You Leaving on the Table?

CSS Wizardry

For the longest time now, I have been obsessed with caching. I think every developer of any discipline would agree that caching is important, but I do tend to find that, particularly with web developers, gaps in knowledge leave a lot of opportunities for optimisation on the table. Want to know everything (and more) about HTTP cache?

Cache 247
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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

It allows users to choose between different counting modes, such as Best-Effort or Eventually Consistent , while considering the documented trade-offs of each option. Best Effort Regional Counter This type of counter is powered by EVCache , Netflix’s distributed caching solution built on the widely popular Memcached.

Latency 248
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Introducing Configurable Metaflow

The Netflix TechBlog

Consider these examples from the updated documentation: You can choose the right level of runtime configurability versus fixed deployments by mixing Parameters and Configs. Take a look at two interesting examples of this pattern in the documentation. this could take a few minutes) All packages already cached in s3.

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Elasticsearch Indexing Strategy in Asset Management Platform (AMP)

The Netflix TechBlog

It provides simple APIs for creating indices, indexing or searching documents, which makes it easy to integrate. Mapping is used to define how documents and their fields are supposed to be stored and indexed. All the assets of a specific type use the specific index defined for that asset type to create or update the asset document.

Strategy 262
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Kubernetes in the wild report 2023

Dynatrace

Of the organizations in the Kubernetes survey, 71% run databases and caches in Kubernetes, representing a +48% year-over-year increase. Together with messaging systems (+36% growth), organizations are increasingly using databases and caches to persist application workload states.

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AI-driven analysis of Spring Micrometer metrics in context, with typology at scale

Dynatrace

Spring Boot 2 uses Micrometer as its default application metrics collector and automatically registers metrics for a wide variety of technologies, like JVM, CPU Usage, Spring MVC, and WebFlux request latencies, cache utilization, data source utilization, Rabbit MQ connection factories, and more. To learn more, see our documentation.

Metrics 246