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5x faster Edge Functions: V8 isolates to Firecracker MicroVMs
See how Netlify rebuilt Edge Functions on MicroVMs to deliver lower latency, greater reliability, and faster log delivery.
Most cited
Posts that commenters keep linking to, ranked by how many different people have cited them in Hacker News comments. 536 posts.
452
Supercharging the Git Commit Graph
Have you ever run gitk and waited a few seconds before the window appears? Have you struggled to visualize your commit history into a sane order of
453
WebVM: WASM virtual machine in browser with networking via Tailscale
WebVM, our virtual Linux environment running fully client-side in the browser, now supports networking via Tailscale.
454
Why Kubernetes isn't using Docker's libnetwork
Kubernetes has had a very basic form of network plugins since before version 1.0 was released — around the same time as Docker's libnetwork and Container Network Model (CNM) was introduced. Unlike libnetwork, the Kubernetes plugin system still retains its "alpha" designation. Now that Docker's network plugin support…
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Corrosion
Corrosion is distributed service discovery based on Rust, SQLite, and CRDTs.
456
Paving the way to efficient architectures: StripedHyena-7B
StripedHyena-7B is an open-source model built beyond the Transformer architecture, matching Llama-2 and Mistral 7B while running faster on long sequences.
457
A lock-free ring-buffer with contiguous reservations (2019)
Building a lock free continuous ring buffer
458
Reddit: 2012 State of the Servers
Get the latest product news, company announcements, and user insights from the official Reddit blog.
459
A general overview of what happens before main() (2019)
8 April 2019 by Phillip Johnston • Last updated 22 August 2022For most programmers, a C or C++ program’s life begins at the main function. They are blissfully unaware of the hidden steps that happen between invoking a program and executing main. Depending on the program and the compiler, there are all kinds of…
460
Facebook's new front-end server design
Visit the post for more.
461
Golang’s Real-Time GC in Theory and Practice
How the Golang concurrent GC achieves low latencies in real-time systems: a visualization of the algorithm and an empirical comparison with other languages.
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Improve Git monorepo performance with a file system monitor
Monorepo performance can suffer due to the sheer number of files in your working directory. Git’s new builtin file system monitor makes it easy to speed up monorepo performance.
464
Jepsen: Redis-Raft 1b3fbf6
Redis is a fast single-threaded data structure server, commonly used as a cache, scratchpad, queue, or coordination mechanism between distributed applications. It offers operations over a broad array of datatypes , including binary blobs, lists, sets, sorted sets, maps, geohashes, counters, channels, streams, and…
465
How to stop running out of ephemeral ports and love long-lived connections
Often programmers have assumptions that turn out, to their surprise, to be invalid. From my experience this happens a lot. Every API, technology or system can be abused beyond its limits and break in a miserable way
466
Introduction to Linux interfaces for virtual networking (2018)
Explore common Linux virtual network interfaces, including Bridge, Bonded interface, VLAN, VXLAN, MACVLAN, IPVLAN, MACVTAP/IPVTAP, and more. Learn how to create and use them effectively for your
467
Ruby 3.3's YJIT: Faster While Using Less Memory
This year, the YJIT team has been working hard to improve and optimize YJIT. We’re proud to say that the version of YJIT to be included with Ruby 3.3 is leaps and bounds ahead of Ruby 3.2’s. It provides better performance across the board, while also warming up faster and using less memory. The 3.3 release is also…
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The Components of Agent Memory
For Claude to learn from experience, it has to decide what’s worth remembering before it knows what’s next. Here’s how “dreaming” helps it organize memory and correct mistakes.
470
32 Bit Real Estate
Apps on Fly.io all get their own routable IPv4 addresses. Here's what that costs us.
471
We rendered a million web pages to find out what makes the web slow
We rendered the top 1 million pages on the web, tracking every conceivable performance metric, logging every error, noting every requested URL. To our knowledge this produces the first dataset that connects performance, errors, and library use on the web. In this article we analyze what the data can tell us about…
472
A principled approach to system design and programming
Technical maxims that define Urbit's approach to engineering.
473
Linux Performance Analysis (2015)
You log in to a Linux server with a performance issue: what do you check in the first minute?
474
Confidential VMs
Google Cloud will now offer the ability to encrypt data in use, while it’s being processed in a Google data center
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Searching 20 GB/sec: Systems Engineering Before Algorithms (2014)
SentinelOne unifies AI-powered endpoint, cloud, identity, and data protection—enhanced by our Security Data Lake for seamless and efficient cybersecurity.
478
A transport protocol's view of Starlink
How TCP interacts with the characteristics of the Starlink service.
479
Ruby 3.3's YJIT Runs Shopify's Production Code 15% Faster
Ruby 3.2 YJIT has optimized the production workloads of Shopify and other companies. We encourage you to enable YJIT in production. Once Ruby 3.3 is released, it should make your application even faster.
480
Jepsen: TiDB 2.1.7
In 2010, Google engineers Daniel Peng & Frank Dabek published Large-scale Incremental Processing Using Distributed Transactions and Notifications , which described Percolator: a Google-internal database for random access transactional workloads where low latencies are not required. Percolator uses a global…