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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

Concatenating our files on the server: Are we going to send many smaller files, or are we going to send one monolithic file? Caching them at the other end: How long should we cache files on a user’s device? Caching them at the other end: How long should we cache files on a user’s device?

Cache 338
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Benchmark (YCSB) numbers for Redis, MongoDB, Couchbase2, Yugabyte and BangDB

High Scalability

Redis Server: 5.07, x86/64. MongoDB server: 4.4.2, BangDB server: 2.0.0, Application example: user profile cache, where profiles are constructed elsewhere (e.g., However, user can run the bench for as many numbers as they practically find suitable. About YCSB. Following configurations were used for the evaluation purpose.

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Netflix Android and iOS Studio Apps?—?now powered by Kotlin Multiplatform

The Netflix TechBlog

Poor network connectivity coupled with frequently changing configuration values in response to user activity means that on-device rule evaluation is preferable to server-side evaluation. remotely configurable files that get downloaded to the device. This led us to build a lightweight Hendrix mobile SDK?—?a

Mobile 280
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Optimising for High Latency Environments

CSS Wizardry

Latency is a key limiting factor on the web: given that most assets fetched by webpages are relatively small (compared to, say, downloading a software update or streaming a movie), we find that most experiences are latency-bound rather than bandwidth-bound. The speed at which files download will be a function of bandwidth and round trip time.

Latency 215
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Cache and Prizes

Alex Russell

Browsers will cache tools popular among vocal, leading-edge developers. There's plenty of space for caching most popular frameworks. The best available proxy data also suggests that shared caches would have a minimal positive effect on performance. Browsers now understand the classic shared HTTP cache behaviour as a privacy bug.

Cache 89
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MySQL Data Caching Efficiency

Percona

A shared characteristic in most (if not all) databases, be them traditional relational databases like Oracle, MySQL, and PostgreSQL or some kind of NoSQL-style database like MongoDB, is the use of a caching mechanism to keep (a copy of) part of the data in memory. How do you know if your MySQL database caching is operating efficiently?

Cache 96
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AWS serverless services: Exploring your options

Dynatrace

Serverless architecture shifts application hosting functions away from local servers onto those managed by providers. This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Let’s get started. Serverless architecture: A primer. Application integration.