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Improving Postgres Connection Scalability: Snapshots
Improving connection scalability in Postgres 14. From the neat to the gritty: snapshot scalability edition.
Topics /
Systems & Performance
The most popular blog posts about systems & performance on Hacker News. 2,560 posts.
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Spark Breaks Previous Large-Scale Sort Record
Read how Apache Spark sorted 100 TB of data (1 trillion records) 3X faster using 10X fewer machines in 2014.
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Libreboot 20230423
Libreboot – Libreboot 20230423 released!
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Sub-10ms roundtrip audio latency on Android
The Superpowered Media Server solves Android's audio latency problems.
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What was the role of MS-DOS in Windows 95? (2007)
Practical development throughout the evolution of Windows.
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Asm.js Speedups Everywhere
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 ...
1718
How to achieve low latency with 10Gbps Ethernet
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.
1719
Valgrind Release 3.9.0
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.
1720
Faster – A key-value store for large state management
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…
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Trust Issues: Exploiting TrustZone TEEs
Posted by Gal Beniamini, Project ZeroMobile devices are becoming an increasingly privacy-sensitiv...
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Eclipse ThreadX
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…
1725
How memory maps (mmap) deliver faster file access in Go
Learn how memory maps (mmap) accelerate file I/O, reduce latency, and improve app performance in Unix and Go with real-world benchmarks.
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Fedora 29
[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 […]
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Why scaling and parallelism remain hard even with new tools and languages
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.
1729
The Road to QUIC
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.
1730
Trigger a Kernel Panic to Diagnose Unresponsive EC2 Instances
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…
1731
Scaling Knative to 100K+ Webapps
Render scaled its Knative infrastructure to handle 100k+ web apps, optimizing Kubernetes for free-tier services and reducing CPU usage to improve network performance.
1732
How Ruby executes JIT code
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.
1733
Zaplib post-mortem
Welp, this is a weird blog post! Very unexpectedly, we quickly invalidated some of the core hypothesis that make Zaplib work as a startup.
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Intel 80386, part 1: Introduction
Practical development throughout the evolution of Windows.
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Firecracker: Lightweight Virtualization for Serverless Applications
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…
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Digging into Linux namespaces – part 1
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.
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