InfoQ Homepage Performance Content on InfoQ
-
Empirical Observations on the the Future of Scalable UI Architecture
Willian Martins discusses a concise course of action regarding the patterns to introduce into a UI system and how to build UI architectures for scale.
-
Dataflow-Based Query Caching with Readyset
Alana Marzoev discusses the fundamentals of streaming dataflow and the architecture of ReadySet, a streaming dataflow system designed for operational workloads.
-
Production Comes First - an Outside-In Approach to Building Microservices
Martin Thwaites introduces outside-in testing, how to use Observability techniques in a local development to build applications that are easier to debug locally and run as a first class citizen.
-
Optimizing Java Applications on Kubernetes: beyond the Basics
Bruno Borges discusses the strategies for enhancing Java application performance on Kubernetes, focusing on leveraging JVM ergonomics, and managing garbage collection processes.
-
Evolving Trainline Architecture for Scale, Reliability and Productivity
Milena Nikolic discusses how Trainline's systems architecture has evolved over the past 5 years to cater changes, as well as what's coming next.
-
Turbocharged Development: the Speed and Efficiency of WebAssembly
Danielle Lancashire discusses why Wasm is the most cross-platform unit of compute for serverless applications, and how that translates to efficiency at scale.
-
Pitfalls of Unified Memory Models in GPUs
Joe Rowell explores the use of unified memory on modern GPU, the low-level details of how unified memory is realized on an x86-64 system, and some of the tools to understand what's happening on a GPU.
-
What Can You Learn from the Fastest Code in the World?
Alan Elder explores the extremes one can go to in order to push the boundaries of code performance and efficiency to perform complex processing on millions of packets per second.
-
From Smoothie Architecture to Layer Cake with Durable Execution
Sergey Bykov shows how Durable Execution of Temporal enables a transition and makes building scalable distributed applications qualitatively easier.
-
Survival Strategies for the Noisy Neighbor Apocalypse
Meenakshi Jindal discusses experience and lessons learned with a case study from the Asset Management Platform at Netflix about how they detected and survived a noisy neighbor.
-
Portfolio Analysis at Scale: Running Risk and Analytics on 15+ Million Portfolios Every Day
William Chen discusses the importance of trimming your computational graph, storing data in multiple formats, leveraging open source, and considering multiple dimensions of modularization.
-
Building a Large Scale Real-Time Ad Events Processing System
Chao Chu provides insights and practical knowledge for building streaming pipelines for an ad platform.