Improving Postgres Connection Scalability: Snapshots
Improving connection scalability in Postgres 14. From the neat to the gritty: snapshot scalability edition.
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 2,560 posts.
Improving connection scalability in Postgres 14. From the neat to the gritty: snapshot scalability edition.
Read how Apache Spark sorted 100 TB of data (1 trillion records) 3X faster using 10X fewer machines in 2014.
Libreboot – Libreboot 20230423 released!
The Superpowered Media Server solves Android's audio latency problems.
Practical development throughout the evolution of Windows.
asm.js is an easy-to-optimize subset of JavaScript. It runs in all browsers without plugins, and is a good target for porting C/C++ codebases such as game engines - which have ...
In a recent blog post we explained how to tweak a simple UDP application to maximize throughput. This time we are going to optimize our UDP application for latency. Fighting with latency is a great excuse to discuss modern features of multiqueue NICs.
Official Home Page for valgrind, a suite of tools for debugging and profiling. Automatically detect memory management and threading bugs, and perform detailed profiling. The current stable version is valgrind-3.28.0.
At SIGMOD 2018, a team from Microsoft Research will be presenting a new embedded key-value store called FASTER, described in their paper “FASTER: A Concurrent Key-Value Store with In-Place Updates”. As its name suggests, FASTER makes a major leap forward in terms of supporting fast and frequent lookups and updates of…
Posted by Gal Beniamini, Project ZeroMobile devices are becoming an increasingly privacy-sensitiv...
TL;DR – Get Engaged! Contact us to learn how to become part of the Eclipse ThreadX Interest Group Contribute to the project and join the ThreadX developer mailing list Stay connected by joini…
Learn how memory maps (mmap) accelerate file I/O, reduce latency, and improve app performance in Unix and Go with real-world benchmarks.
[This message comes directly from the desk of the Fedora Project Leader. — Ed.] In just one week, it will be fifteen years since we announced the release of Fedora Core 1. Now, we’re announcing the release of Fedora 29 — now not just “core”, but Workstation, Server, Atomic Host, a whole collection of desktop Spins […]
Distributed computing and designing a system that supports modern commerce and other high-priority applications remains one of the most difficult tasks in computing. We provide expert tips.
QUIC (Quick UDP Internet Connections) is a new encrypted-by-default Internet transport protocol, that provides a number of improvements designed to accelerate HTTP traffic as well as make it more secure, with the intended goal of eventually replacing TCP and TLS on the web.
When I was working on systems deployed in on-premises data centers, it sometimes happened I had to debug an unresponsive server. It usually involved asking someone to physically press a non-maskable interrupt (NMI) button on the frozen server or to send a signal to a command controller over a serial interface (yes…
Render scaled its Knative infrastructure to handle 100k+ web apps, optimizing Kubernetes for free-tier services and reducing CPU usage to improve network performance.
Where does JIT-compiled code live? How does Ruby switch between bytecode and native execution? Why does TracePoint slow everything down? This post answers the JIT questions most Ruby developers have but rarely see explained.
Welp, this is a weird blog post! Very unexpectedly, we quickly invalidated some of the core hypothesis that make Zaplib work as a startup.
Practical development throughout the evolution of Windows.
Serverless containers and functions are widely used for deploying and managing software in the cloud. Their popularity is due to reduced cost of operations, improved utilization of hardware, and faster scaling than traditional deployment methods. The economics and scale of serverless applications…
Process isolation is a key component for containers. One of the key underlying mechanisms are namespaces. We will explore what they are, and how they work, to build our own isolated container and better understand each piece.