Remove Cache Remove Document Remove Strategy
article thumbnail

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? Given that 66% of all websites (and 77% of all requests ) are running HTTP/2, I will not discuss concatenation strategies for HTTP/1.1 What happens when we adjust our compression strategy? Cache This is the easy one. in this article.

Cache 348
article thumbnail

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 251
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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 264
article thumbnail

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 237
article thumbnail

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

Dynatrace

Every company has its own strategy as to which technologies to use. It exports any pre-instrumented metrics for JVM, CPU Usage, Spring MVC, and WebFlux request latencies, cache utilization, data source utilization as well as custom metrics to the Dynatrace Metrics API v2. To learn more, see our documentation. Dynatrace news.

Metrics 246
article thumbnail

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. Development and demand for AI tools come with a growing concern about their environmental cost.

Cache 276
article thumbnail

CSS and Network Performance

CSS Wizardry

While this strategy is effective, it’s not simple: highly dynamic sites can be difficult to extract styles from, the process needs to be automated, we have to make assumptions about what above the fold even is, it’s hard to capture edge cases, and tooling still in its relative infancy. This is on purpose. Test, test, test.

Network 278