Whoops! I Rewrote it in Rust
Explore rewriting a C caching framework in Rust, discussing performance challenges, benefits of Rust tooling, and new features like efficient TTL sorting and PMEM support.
FPs Are Cheap - Show Me the CVEs
Evaluating SAST tools: Learn how to assess their effectiveness in finding real vulnerabilities using synthetic test suites and practical examples of CVEs.
The Things Scala.js Does to Make Your Code Fast
Explore Scala.js optimizer's performance enhancements, including closure elimination and idiomatic Scala code optimization, to write efficient Scala.js programs that rival hand-written JavaScript.
Profiling to Make Your Rails App Faster
Learn to identify and optimize slow code in Rails apps using profiling tools and best practices for improved performance.
Allocating Less - Really Thin Rust Cloud Apps
Optimize Rust cloud apps for minimal memory usage through profiling, improved APIs, efficient data structures, and smart allocation choices. Boost performance with practical tips and benchmarking strategies.
Monitoring Your Back-End for Speed and Profit
Discover techniques for monitoring and optimizing PHP backend performance, focusing on tools like XHProf and HAR format files. Learn from BBC's experience preparing for high-traffic events.
Fast, Approximate Vector Queries on Very Large Unstructured Datasets
Explore Auncel, a vector query engine for large datasets, offering bounded errors and latencies. Learn how it outperforms existing solutions in processing high-dimensional data efficiently.
Running Spring Boot Applications as GraalVM Native Images
Explore GraalVM native images for Spring Boot: instant startup, low memory, and ecosystem readiness. Compare OpenJDK, GraalVM CE, and EE with real-world benchmarks and implementation insights.
GraalVM - Run Programs Faster Everywhere
Explore GraalVM's polyglot capabilities, performance enhancements, and versatile deployment options for Java and other languages, with demos showcasing its power across various scenarios.
How to Not Do Benchmarking
Discover common pitfalls in Java benchmarking and learn best practices for accurate performance testing through entertaining negative examples and expert insights.
How to Fail at Benchmarking
Explore key metrics, latency measurement, and the Coordinated Omission issue in benchmarking. Learn to avoid common pitfalls and make informed decisions based on accurate performance data.
Hands-on with JMH - Become a Benchmarking Expert in 30 Minutes
Learn to use JMH for benchmarking Java code, improving performance, detecting race conditions, and automating tests with practical examples and built-in profiler support.
The Truth About MapReduce Performance on SSDs
Investigates SSD performance for MapReduce workloads, comparing to HDDs. Presents benchmarking method, cost-per-performance metrics, and quantifies SSD advantages in data processing efficiency.
Madpig - Measure and Deepen Performance in Go
Explore Go performance optimization techniques, including benchmarking, profiling, and concurrency. Learn to use tools like Pprof, Trace, and Race detector to identify bottlenecks and improve code efficiency.
Moving to G1GC - An Experience Report
Exploring real-world experiences of transitioning from CMS to G1GC in Java, including performance implications, potential challenges, and optimization strategies for reduced operating costs.
Maximising Performance With Zend Framework
Optimize Zend Framework 2 performance through benchmarking, profiling, config caching, custom modules, and coding best practices. Learn to squeeze extra cycles from your PHP applications.
Real-World Examples on Optimizing .NET Performance
Optimización del rendimiento en .NET con ejemplos prácticos, incluyendo técnicas de gestión de memoria, características del lenguaje y estructuras de datos eficientes.
Benchmarking JavaScript
Explore JavaScript benchmarking techniques, VM optimizations, and performance pitfalls. Learn to write smarter benchmarks and understand how they can uncover bugs in virtual machines.
Making the JVM Fly - Experiences With Enterprise JVM Performance Tuning
Explore enterprise JVM performance tuning with real-world scenarios, covering memory usage, object creation, I/O throttling, serialization, and benchmarking. Learn practical optimization techniques for significant performance improvements.
Benefits of Reactive Programming with Reactor and Spring Boot 2
Explore reactive programming benefits with Reactor and Spring Boot 2, focusing on scalability, resilience, and performance improvements for cloud-native applications through benchmarks and use cases.
Snap ML - A Highly-Accelerated, Scalable Software Library for Machine Learning
Discover Snap ML, a high-performance framework for training generalized linear models. Learn about its GPU acceleration, pipelining, and distributed computing capabilities for faster machine learning on large-scale datasets.