Readyset utilizes partially-stateful streaming dataflow to create an efficient database cache that simplifies caching integration and maintains performance.
python-build-standalone finds a home
The jiter module is an efficient JSON parser designed for performance in Python projects, including implementations in Pydantic and Logfire.
Moka-py integrates a high-performance Rust caching library with Python, enabling sophisticated data caching strategies.
Google Search Web Rendering Service Caches For Up To 30 Days
Google's WRS caches resources for up to 30 days to preserve crawl budgets.
Next.js App Router addresses client-server performance issues by optimizing data fetching through React Server Components, balancing prerendering and flexibility.
Advanced Next.js caching strategies - LogRocket Blog
Next.js caching can lead to bugs if not properly understood, impacting development efficiency.
Caching in Next.js with unstable_cache - LogRocket Blog
Caching in programming and web development helps store results of expensive operations for reuse, Next.js introduces unstable_cache method for granular control.
Our Journey with Caching
Next.js App Router addresses client-server performance issues by optimizing data fetching through React Server Components, balancing prerendering and flexibility.
Advanced Next.js caching strategies - LogRocket Blog
Next.js caching can lead to bugs if not properly understood, impacting development efficiency.
Caching in Next.js with unstable_cache - LogRocket Blog
Caching in programming and web development helps store results of expensive operations for reuse, Next.js introduces unstable_cache method for granular control.
MariaDB's MEMORY storage engine can provide caching functionality similar to Redis, improving application response times.
Amazon ElastiCache Serverless: a New Option for Scaling Cache Capacity Instantly
AWS has announced the general availability of Amazon ElastiCache Serverless, a new serverless option for creating and scaling caches based on application traffic patterns.
ElastiCache Serverless offers an easy and simplified way to operate a high-performance cache without the need for capacity planning or caching expertise.
MariaDB's MEMORY storage engine can provide caching functionality similar to Redis, improving application response times.
Amazon ElastiCache Serverless: a New Option for Scaling Cache Capacity Instantly
AWS has announced the general availability of Amazon ElastiCache Serverless, a new serverless option for creating and scaling caches based on application traffic patterns.
ElastiCache Serverless offers an easy and simplified way to operate a high-performance cache without the need for capacity planning or caching expertise.
Unlocking Spark's Hidden Power: The Secret Weapon of Caching Revealed in a Tale of Bug Hunting and...
Caching in Apache Spark is essential for improving performance by storing intermediary results in memory and reusing them instead of recalculating them from scratch.
Caching can also prevent inconsistencies caused by non-deterministic functions, such as the UUID function, by ensuring that the same results are used consistently across different operations.
Momento Migrates Object Cache as a Service to Ampere Altra - SitePoint
Momento automates caching, reducing operational burdens in cloud applications and allowing developers to focus on core features.
Cache Grab: How Much Are You Leaving on the Table? - CSS Wizardry
Caching is crucial for web performance, yet many developers miss optimization opportunities due to knowledge gaps.
Using a Read-through / Write-through Cache in Java Applications with NCache
Caching in Java web applications enhances performance and scalability by storing frequently accessed data for swift retrieval, leading to faster response times and reduced server load.
Using a Read-through / Write-through Cache in Java Applications with NCache
Caching is crucial for optimizing Java web applications by improving response times, availability, and reducing server load.
Unlocking Spark's Hidden Power: The Secret Weapon of Caching Revealed in a Tale of Bug Hunting and...
Caching in Apache Spark is essential for improving performance by storing intermediary results in memory and reusing them instead of recalculating them from scratch.
Caching can also prevent inconsistencies caused by non-deterministic functions, such as the UUID function, by ensuring that the same results are used consistently across different operations.
Momento Migrates Object Cache as a Service to Ampere Altra - SitePoint
Momento automates caching, reducing operational burdens in cloud applications and allowing developers to focus on core features.
Cache Grab: How Much Are You Leaving on the Table? - CSS Wizardry
Caching is crucial for web performance, yet many developers miss optimization opportunities due to knowledge gaps.
Using a Read-through / Write-through Cache in Java Applications with NCache
Caching in Java web applications enhances performance and scalability by storing frequently accessed data for swift retrieval, leading to faster response times and reduced server load.
Using a Read-through / Write-through Cache in Java Applications with NCache
Caching is crucial for optimizing Java web applications by improving response times, availability, and reducing server load.
How to use `curl` scripts to test RESTful web services (GET, POST, etc.)
To simulate GET, POST, DELETE, and PUT requests to RESTful services, curl scripts are helpful. Sencha uses _dc to handle caching, but it can be disabled.
GitHub - isaacplmann/epic-stack-with-nx
Nx in an Epic Stack app provides task pipelines and caching, enhancing efficiency and reducing errors in executing tasks.
How to make edge rendering fast | Netlify Developers
Edge rendering paired with smart caching can enhance frontend performance by leveraging edge API caching for faster responses.
Caching in Spark | What? How? Why?
Lazy evaluation in Spark allows for optimized execution plans.
Caching within Spark helps in avoiding recomputation of RDDs.
@coool/cachestate
Cachestate is a simple and flexible cached state management tool that works with any framework.
It supports features such as caching, state management, cache updates, and cache busting.
I abandoned OpenLiteSpeed and went back to good ol' Nginx
The author helped host a weather forecasting site called Space City Weather that experiences high traffic during severe weather events. They initially used a complex backend stack to handle the traffic but decided to simplify it by using OpenLiteSpeed as the single web server application.
OpenLiteSpeed was chosen for its integrated caching capabilities and its reputation for being fast, especially for WordPress hosting.