napkin-math
hyper
napkin-math | hyper | |
---|---|---|
13 | 99 | |
3,093 | 13,907 | |
- | 1.6% | |
6.3 | 9.2 | |
11 days ago | 9 days ago | |
Rust | Rust | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
napkin-math
- capacity planning in system design interviews
- Napkin Math
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S3 Express Is All You Need
Most production storage systems/databases built on top of S3 spend a significant amount of effort building an SSD/memory caching tier to make them performant enough for production (e.g. on top of RocksDB). But it's not easy to keep it in sync with blob...
Even with the cache, the cold query latency lower-bound to S3 is subject to ~50ms roundtrips [0]. To build a performant system, you have to tightly control roundtrips. S3 Express changes that equation dramatically, as S3 Express approaches HDD random read speeds (single-digit ms), so we can build production systems that don't need an SSD cache—just the zero-copy, deserialized in-memory cache.
Many systems will probably continue to have an SSD cache (~100 us random reads), but now MVPs can be built without it, and cold query latency goes down dramatically. That's a big deal
We're currently building a vector database on top of object storage, so this is extremely timely for us... I hope GCS ships this ASAP. [1]
[0]: https://github.com/sirupsen/napkin-math
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Random Read or Sequential Read
Trying to estimate performance using some napkin math based on this: https://github.com/sirupsen/napkin-math
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A CVE has been issued for hyper. Denial of Service possible
So napkin maths time. Typical cross-world bog-standard network speeds for a single TCP channel of ~25MiBps. A single HEADERS+RST pair is likely < 128 bytes (40 for the HEADERS + whatever payload, and 32 for the RST). So 8 pairs per K, 8K pairs per MiB, 200K pairs per 25MiB...
- Index Merges vs Composite Indexes in Postgres and MySQL
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I/O is no longer the bottleneck
Yes, sequential I/O bandwidth is closing the gap to memory. [1] The I/O pattern to watch out for, and the biggest reason why e.g. databases do careful caching to memory, is that _random_ I/O is still dreadfully slow. I/O bandwidth is brilliant, but latency is still disappointing compared to memory.
[1]: https://github.com/sirupsen/napkin-math
- Monthly cost to host server for 1M DAUs?
- Napkin-math: Techniques and numbers for estimating system's performance
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System Design prep?
https://github.com/sirupsen/napkin-math (memorize these)
hyper
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The Linux Kernel Prepares for Rust 1.77 Upgrade
> If you are equally picky and constrain yourself to parts of the ecosystem which care about binary size, you still have more options and can avoid size issues.
What's an example of this for, say, libcurl? On my system it has a tiny number of recursive dependencies, around a dozen. [0] Furthermore if I want to write a C program that uses libcurl I have to download zero bytes of data ... because it's a shared library that is already installed on my system, since so many programs already use it.
I don't really know the appropriate comparison for Rust. reqwest seems roughly comparable, but it's an HTTP client library, and not a general purpose network client like curl. Obviously curl can do a lot more. Even the list of direct dependencies for reqwest is quite long [1], and it's built on top of another http library [2] that has its own long list of dependencies, a list that includes tokio, no small library itself.
In terms of final binary size, the installed size of the curl package on my system, which includes both the command line tool and development dependencies for libcurl, is 1875.03 KiB.
[0] I'm excluding the dependency on the ca-certificates package, since this only provides the certificate chain for TLS and lots of programs rely on it.
[1] https://crates.io/crates/reqwest/0.11.24/dependencies
[2] https://crates.io/crates/hyper/0.14.28/dependencies
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json-responder 1.1: dynamic path resolution
hyper-based HTTP server generating JSON responses. Written in Rust.
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I pre-released my project "json-responder" written in Rust
tokio / hyper / toml / serde / serde_json / json5 / console
- How Turborepo is porting from Go to Rust
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Signway - a pre-signed URLs gateway written in rust, specifically designed for allowing LLM based client apps to directly query OpenAI's api securely.
Using Rust here was immensely helpful, using libraries made by the community like https://github.com/hyperium/hyper really powered up the development of Signway, so glad to see this kind of awesome crates made public. Hope that it continues to be like that despite the current controversies.
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Problem with YouTube embed thumbnail...
- Discord sends a slightly weird request by specifying content length (a bug in hyper we've not yet upgraded to fix, https://github.com/hyperium/hyper/commit/fb90d30c02d8f7cdc9a643597d5c4ca7a123f3dd)
- Hyper – A fast and correct HTTP implementation for Rust
What are some alternatives?
huniq - Filter out duplicates on the command line. Replacement for `sort | uniq` optimized for speed (10x faster) when sorting is not needed.
reqwest - An easy and powerful Rust HTTP Client
advisory-database - Security vulnerability database inclusive of CVEs and GitHub originated security advisories from the world of open source software.
tokio - A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
adix - An Adaptive Index Library for Nim
Warp - Warp is a modern, Rust-based terminal with AI built in so you and your team can build great software, faster.
h2 - HTTP 2.0 client & server implementation for Rust.
actix-web - Actix Web is a powerful, pragmatic, and extremely fast web framework for Rust.
RAMCloud - **No Longer Maintained** Official RAMCloud repo
Rocket - A web framework for Rust.
simdjson - Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
curl-rust - Rust bindings to libcurl